-------------------------------------------------------------------------------------------------------

       log:  C:\AAA Miker Files\newer web pages\soc_388_notes\soc_388_2007\seventh_class_log.log

  log type:  text

 opened on:  16 Oct 2007, 11:00:43

 

. set linesize 75

 

. *first, let me say a word about dealing with string variables

. *this is the string variable version of LA intermarriage.

. *note the results from describe

. describe

 

Contains data from C:\AAA Miker Files\newer web pages\soc_388_notes\LA_intermar.dta

  obs:            25                         

 vars:             3                          6 Oct 2001 16:50

 size:           500 (99.9% of memory free)

---------------------------------------------------------------------------

> ----

              storage  display     value

variable name   type   format      label      variable label

---------------------------------------------------------------------------

> ----

husb            str7   %9s                   

wife            str7   %9s                   

count           int    %8.0g                 

---------------------------------------------------------------------------

> ----

Sorted by: 

 

. set linesize 79

 

. describe

 

Contains data from C:\AAA Miker Files\newer web pages\soc_388_notes\LA_intermar

> .dta

  obs:            25                         

 vars:             3                          6 Oct 2001 16:50

 size:           500 (99.9% of memory free)

-------------------------------------------------------------------------------

              storage  display     value

variable name   type   format      label      variable label

-------------------------------------------------------------------------------

husb            str7   %9s                   

wife            str7   %9s                   

count           int    %8.0g                 

-------------------------------------------------------------------------------

Sorted by: 

 

. tabulate husb

 

       husb |      Freq.     Percent        Cum.

------------+-----------------------------------

     AllOth |          5       20.00       20.00

      Black |          5       20.00       40.00

        Mex |          5       20.00       60.00

    OthHisp |          5       20.00       80.00

      White |          5       20.00      100.00

------------+-----------------------------------

      Total |         25      100.00

 

. *If I want to generate a variable for endogamy which is different for every group, it would look something like this:

. gen endog_full=0

 

. replace endog_full=1 if husb=="White" & husb==wife

(1 real change made)

 

. replace endog_full=2 if husb=="Black" & husb==wife

(1 real change made)

 

. table husb wife, contents(mean endog_full)

 

-------------------------------------------------------

          |                    wife                   

     husb |  AllOth    Black      Mex  OthHisp    White

----------+--------------------------------------------

   AllOth |       0        0        0        0        0

    Black |       0        2        0        0        0

      Mex |       0        0        0        0        0

  OthHisp |       0        0        0        0        0

    White |       0        0        0        0        1

-------------------------------------------------------

 

. *remember to use double quotes when dealing with text vars, and spell correctly and use capitalization.

. clear

 

. mem

unrecognized command:  mem

r(199);

 

. memory

                                                  bytes

--------------------------------------------------------------------

Details of set memory usage

    overhead (pointers)                               0        0.00%

    data                                              0        0.00%

                                        ----------------------------

    data + overhead                                   0        0.00%

    free                                     10,485,752      100.00%

                                        ----------------------------

    Total allocated                          10,485,752      100.00%

--------------------------------------------------------------------

Other memory usage

    set maxvar usage                          1,816,666

    set matsize usage                         1,315,200

    programs, saved results, etc.                   437

                                        ---------------

    Total                                     3,132,303

-------------------------------------------------------

Grand total                                  13,618,055

 

. *One of the things to keep in mind about Stata is that Stata wants to load all data into memory, which sometimes means you need to add more memory before working with the data.

. use "C:\AAA Miker Files\newer web pages\soc_meth_proj3\cps_y2k_numeric.dta", clear

 

. *This is a dataset available on my website under Soc 180, intro social research

. describe

 

Contains data from C:\AAA Miker Files\newer web pages\soc_meth_proj3\cps_y2k_nu

> meric.dta

  obs:       133,710                         

 vars:            42                          16 May 2004 11:38

 size:     9,894,540 (5.6% of memory free)

-------------------------------------------------------------------------------

              storage  display     value

variable name   type   format      label      variable label

-------------------------------------------------------------------------------

phseq           str5   %9s                    household sequence number p2

pernum          byte   %8.0g                 

age             byte   %8.0g                  p15

maritl          byte   %26.0g      marlbl     Marital Status p17

sex             byte   %8.0g       sexnm      p20

vet             byte   %22.0g      vetnm      veteran status p21

hga             byte   %8.0g                  Educational Attainment p22

race            byte   %11.0g      racenm     p25

reorigin        byte   %25.0g      hisplbl    Hispanic Origin p27

hrs1            byte   %8.0g                  hours worked last week p76

clswkr          byte   %32.0g      cwrknm     sector of worker p109

grswk           int    %9.0g                  gross weekly wages p135

unmem           byte   %13.0g      unnm       labor union member p139

lfsr            byte   %28.0g      lfsrnm     labor force status p145

ernval          float  %9.0g                  main job last year earnings p228

ssval           long   %12.0g                 last year soc security payments

                                                p291

pawval          int    %12.0g                 last year welfare payments p305

wgt2            int    %9.0g                  rounded weight based on p50

ernval2         float  %9.0g                  main job earnings, losses

                                                recoded to zero

htype           byte   %37.0g      htpnm      household type h25

state           byte   %8.0g                  HG-ST60, or simply state of

                                                residence h40

hpmsasz         byte   %16.0g      hpmsasz    metropolitan area size h56

hcccr           byte   %12.0g      hccrlbl    residence in central city h58

frelu18         byte   %8.0g                  number of kids in fam under 18

                                                f29

povll           byte   %9.0g       povll_label

                                              ratio of fam income to poverty

                                                level f38

fwsval          float  %9.0g                  family income f48

famwgt2         int    %8.0g                  adjusted family weight f233

yrsed           float  %9.0g                  years of education, from hga

citizen         byte   %33.0g      citnm      citizenship p733

health          byte   %11.0g      hlthnm     self reported health status p800

occ             int    %8.0g                  occupation P 106

ptotr           byte   %8.0g                  total person income categories

                                                P466

penatvty        int    %8.0g                  country of birth P 722,

                                                Appendix H

pemntvty        int    %8.0g                  Mother's country of birth,

                                                P725, appendix H

pefntvty        int    %8.0g                  Father's country of birth,

                                                P728, appendix H

peinusyr        byte   %8.0g                  time of immigration, P 731

pxnatvty        byte   %8.0g                  allocation flag for country of

                                                birth P 734

hgmsac          int    %8.0g                  metropolitan area code, h44,

                                                appendix E

pppos2          byte   %8.0g                  family sequence number within

                                                each household p46

edlvl           byte   %16.0g      edlabel    4 categories ed attainment

hispanic        byte   %12.0g      smhisplbl

                                              dichotomoy hispanic yes/no

new_race        byte   %18.0g      new_race   race and Hispanic combined

-------------------------------------------------------------------------------

Sorted by: 

 

. *Key: how to contract a big dataset like the CPS into the cross tabulate data that we will use.

.

. tabulate maritl

 

        Marital Status p17 |      Freq.     Percent        Cum.

---------------------------+-----------------------------------

   married, spouse present |     55,585       41.57       41.57

married, AF spouse present |        351        0.26       41.83

    married, spouse absent |      1,355        1.01       42.85

                   widowed |      6,561        4.91       47.75

                  divorced |      9,523        7.12       54.88

                 separated |      2,097        1.57       56.44

             never married |     58,238       43.56      100.00

---------------------------+-----------------------------------

                     Total |    133,710      100.00

 

. tabulate race

 

        p25 |      Freq.     Percent        Cum.

------------+-----------------------------------

      White |    113,475       84.87       84.87

      Black |     13,626       10.19       95.06

Amer Indian |      1,894        1.42       96.47

      Asian |      4,715        3.53      100.00

------------+-----------------------------------

      Total |    133,710      100.00

 

. tabulate sex

 

        p20 |      Freq.     Percent        Cum.

------------+-----------------------------------

       male |     64,791       48.46       48.46

     female |     68,919       51.54      100.00

------------+-----------------------------------

      Total |    133,710      100.00

 

. *The dataset we want is a cross tabulation of these 3 variables, with 7*4*2=56 cells

. tabulate maritl race if age>19 & age<60

 

                      |                     p25

   Marital Status p17 |     White      Black  Amer Indi      Asian |     Total

----------------------+--------------------------------------------+----------

married, spouse prese |    38,255      2,677        477      1,624 |    43,033

married, AF spouse pr |       275         42          2         20 |       339

married, spouse absen |       783        122         21         96 |     1,022

              widowed |       808        159         13         33 |     1,013

             divorced |     6,670        852        128        141 |     7,791

            separated |     1,284        420         30         47 |     1,781

        never married |    13,654      2,773        286        776 |    17,489

----------------------+--------------------------------------------+----------

                Total |    61,729      7,045        957      2,737 |    72,468

 

 

. *We are looking at something like 72K cases.

. *The command we want is contract

. contract maritl race sex if age>19 & age<60

no room to add more variables due to width

    An attempt was made to add a variable that would have increased the memory

    required to store an observation beyond what is currently possible.  You

    have the following alternatives:

 

     1.  Store existing variables more efficiently; see help compress.

 

     2.  Drop some variables or observations; see help drop.  (Think of Stata's

         data area as the area of a rectangle; Stata can trade off width and

         length.)

 

     3.  Increase the amount of memory allocated to the data area using the set

         memory command; see help memory.

r(902);

 

. *typical stata error, when not enough memory.

. clear

 

. set mem 250m

 

Current memory allocation

 

                    current                                 memory usage

    settable          value     description                 (1M = 1024k)

    --------------------------------------------------------------------

    set maxvar         5000     max. variables allowed           1.733M

    set memory          250M    max. data space                250.000M

    set matsize         400     max. RHS vars in models          1.254M

                                                            -----------

                                                               252.987M

 

. use "C:\AAA Miker Files\newer web pages\soc_meth_proj3\cps_y2k_numeric.dta", clear

 

. contract maritl race sex if age>19 & age<60

 

. describe

 

Contains data from C:\AAA Miker Files\newer web pages\soc_meth_proj3\cps_y2k_numeric.dta

  obs:            55                         

 vars:             4                          16 May 2004 11:38

 size:           495 (99.9% of memory free)

-------------------------------------------------------------------------------

              storage  display     value

variable name   type   format      label      variable label

-------------------------------------------------------------------------------

maritl          byte   %26.0g      marlbl     Marital Status p17

sex             byte   %8.0g       sexnm      p20

race            byte   %11.0g      racenm     p25

_freq           int    %12.0g                 Frequency

-------------------------------------------------------------------------------

Sorted by:  maritl  race  sex 

     Note:  dataset has changed since last saved

 

. *Normally, Stata would drop the cells with zero observations, which is why we ended up with 55 instead of 56

. clear

 

. use "C:\AAA Miker Files\newer web pages\soc_meth_proj3\cps_y2k_numeric.dta", clear

 

. contract maritl race sex if age>19 & age<60, zero

 

. describe

 

Contains data from C:\AAA Miker Files\newer web pages\soc_meth_proj3\cps_y2k_numeric.dta

  obs:            56                         

 vars:             4                          16 May 2004 11:38

 size:           504 (99.9% of memory free)

-------------------------------------------------------------------------------

              storage  display     value

variable name   type   format      label      variable label

-------------------------------------------------------------------------------

maritl          byte   %26.0g      marlbl     Marital Status p17

sex             byte   %8.0g       sexnm      p20

race            byte   %11.0g      racenm     p25

_freq           int    %12.0g                 Frequency

-------------------------------------------------------------------------------

Sorted by:  maritl  race  sex 

     Note:  dataset has changed since last saved

 

. *When we use the zero option, we end up keeping the cells with zero counts, which is important. If they are observational or probability zeros.

. rename _freq count

 

. tabulate count

 

  Frequency |      Freq.     Percent        Cum.

------------+-----------------------------------

          0 |          1        1.79        1.79

          1 |          1        1.79        3.57

          2 |          2        3.57        7.14

          3 |          1        1.79        8.93

          9 |          2        3.57       12.50

         10 |          2        3.57       16.07

         12 |          1        1.79       17.86

         18 |          1        1.79       19.64

         19 |          1        1.79       21.43

         21 |          2        3.57       25.00

         29 |          1        1.79       26.79

         31 |          1        1.79       28.57

         32 |          2        3.57       32.14

         42 |          1        1.79       33.93

         48 |          1        1.79       35.71

         53 |          1        1.79       37.50

         54 |          2        3.57       41.07

         69 |          1        1.79       42.86

         74 |          1        1.79       44.64

         93 |          1        1.79       46.43

        127 |          1        1.79       48.21

        132 |          1        1.79       50.00

        141 |          1        1.79       51.79

        151 |          1        1.79       53.57

        154 |          1        1.79       55.36

        230 |          1        1.79       57.14

        247 |          1        1.79       58.93

        254 |          1        1.79       60.71

        279 |          1        1.79       62.50

        325 |          1        1.79       64.29

        355 |          1        1.79       66.07

        357 |          1        1.79       67.86

        421 |          1        1.79       69.64

        426 |          1        1.79       71.43

        487 |          1        1.79       73.21

        527 |          1        1.79       75.00

        657 |          1        1.79       76.79

        741 |          1        1.79       78.57

        797 |          1        1.79       80.36

        883 |          1        1.79       82.14

       1158 |          1        1.79       83.93

       1320 |          1        1.79       85.71

       1357 |          1        1.79       87.50

       1615 |          1        1.79       89.29

       2905 |          1        1.79       91.07

       3765 |          1        1.79       92.86

       5957 |          1        1.79       94.64

       7697 |          1        1.79       96.43

      18700 |          1        1.79       98.21

      19555 |          1        1.79      100.00

------------+-----------------------------------

      Total |         56      100.00

 

. *This dataset has only one zero and a couple of other small number cells. Would not appear to be a problem.

. tabulate maritl race

 

                      |                     p25

   Marital Status p17 |     White      Black  Amer Indi      Asian |     Total

----------------------+--------------------------------------------+----------

married, spouse prese |         2          2          2          2 |         8

married, AF spouse pr |         2          2          2          2 |         8

married, spouse absen |         2          2          2          2 |         8

              widowed |         2          2          2          2 |         8

             divorced |         2          2          2          2 |         8

            separated |         2          2          2          2 |         8

        never married |         2          2          2          2 |         8

----------------------+--------------------------------------------+----------

                Total |        14         14         14         14 |        56

 

 

. *that just told us how many cells we have

. tabulate maritl race [fweight=count]

 

                      |                     p25

   Marital Status p17 |     White      Black  Amer Indi      Asian |     Total

----------------------+--------------------------------------------+----------

married, spouse prese |    38,255      2,677        477      1,624 |    43,033

married, AF spouse pr |       275         42          2         20 |       339

married, spouse absen |       783        122         21         96 |     1,022

              widowed |       808        159         13         33 |     1,013

             divorced |     6,670        852        128        141 |     7,791

            separated |     1,284        420         30         47 |     1,781

        never married |    13,654      2,773        286        776 |    17,489

----------------------+--------------------------------------------+----------

                Total |    61,729      7,045        957      2,737 |    72,468

 

 

. *One additional issue that sometimes comes up, is that you make a crosstabulation and then later you realize that one of your variables has a category that is so small, that it creates data sparseness problems for you.

. *One thing you might want to do is collapse again, to get rid of a small category in one variable.

. *Let's contract marital status to get rid of the very small married AF present category.

. gen byte maritl_small=maritl

 

. replace maritl_small=1 if maritl==2

(8 real changes made)

 

. tabulate maritl maritl_small [fweight=count]

 

                      |                maritl_small

   Marital Status p17 |         1          3          4          5 |     Total

----------------------+--------------------------------------------+----------

married, spouse prese |    43,033          0          0          0 |    43,033

married, AF spouse pr |       339          0          0          0 |       339

married, spouse absen |         0      1,022          0          0 |     1,022

              widowed |         0          0      1,013          0 |     1,013

             divorced |         0          0          0      7,791 |     7,791

            separated |         0          0          0          0 |     1,781

        never married |         0          0          0          0 |    17,489

----------------------+--------------------------------------------+----------

                Total |    43,372      1,022      1,013      7,791 |    72,468

 

 

                      |     maritl_small

   Marital Status p17 |         6          7 |     Total

----------------------+----------------------+----------

married, spouse prese |         0          0 |    43,033

married, AF spouse pr |         0          0 |       339

married, spouse absen |         0          0 |     1,022

              widowed |         0          0 |     1,013

             divorced |         0          0 |     7,791

            separated |     1,781          0 |     1,781

        never married |         0     17,489 |    17,489

----------------------+----------------------+----------

                Total |     1,781     17,489 |    72,468

 

 

. describe

 

Contains data from C:\AAA Miker Files\newer web pages\soc_meth_proj3\cps_y2k_nu

> meric.dta

  obs:            56                         

 vars:             5                          16 May 2004 11:38

 size:           560 (99.9% of memory free)

-------------------------------------------------------------------------------

              storage  display     value

variable name   type   format      label      variable label

-------------------------------------------------------------------------------

maritl          byte   %26.0g      marlbl     Marital Status p17

sex             byte   %8.0g       sexnm      p20

race            byte   %11.0g      racenm     p25

count           int    %12.0g                 Frequency

maritl_small    byte   %8.0g                 

-------------------------------------------------------------------------------

Sorted by:  maritl  race  sex 

     Note:  dataset has changed since last saved

 

. label val maritl_small marlbl

 

. describe

 

Contains data from C:\AAA Miker Files\newer web pages\soc_meth_proj3\cps_y2k_nu

> meric.dta

  obs:            56                         

 vars:             5                          16 May 2004 11:38

 size:           560 (99.9% of memory free)

-------------------------------------------------------------------------------

              storage  display     value

variable name   type   format      label      variable label

-------------------------------------------------------------------------------

maritl          byte   %26.0g      marlbl     Marital Status p17

sex             byte   %8.0g       sexnm      p20

race            byte   %11.0g      racenm     p25

count           int    %12.0g                 Frequency

maritl_small    byte   %26.0g      marlbl    

-------------------------------------------------------------------------------

Sorted by:  maritl  race  sex 

     Note:  dataset has changed since last saved

 

. contract  maritl_small race sex [fweight=count], zero

 

. rename _freq count

 

. describe

 

Contains data from C:\AAA Miker Files\newer web pages\soc_meth_proj3\cps_y2k_nu

> meric.dta

  obs:            48                         

 vars:             4                          16 May 2004 11:38

 size:           432 (99.9% of memory free)

-------------------------------------------------------------------------------

              storage  display     value

variable name   type   format      label      variable label

-------------------------------------------------------------------------------

sex             byte   %8.0g       sexnm      p20

race            byte   %11.0g      racenm     p25

maritl_small    byte   %26.0g      marlbl    

count           int    %12.0g                 Frequency

-------------------------------------------------------------------------------

Sorted by:  maritl_small  race  sex 

     Note:  dataset has changed since last saved

 

. tabulate  maritl_small race [fweight=count]

 

                      |                     p25

         maritl_small |     White      Black  Amer Indi      Asian |     Total

----------------------+--------------------------------------------+----------

married, spouse prese |    38,530      2,719        479      1,644 |    43,372

married, spouse absen |       783        122         21         96 |     1,022

              widowed |       808        159         13         33 |     1,013

             divorced |     6,670        852        128        141 |     7,791

            separated |     1,284        420         30         47 |     1,781

        never married |    13,654      2,773        286        776 |    17,489

----------------------+--------------------------------------------+----------

                Total |    61,729      7,045        957      2,737 |    72,468

 

 

. *That is a word or two about contract.

. clear

 

. use "C:\AAA Miker Files\newer web pages\soc_388_notes\70-80-90 MR intermar.dt

> a", clear

 

. *This is the HW3 dataset

. describe

 

Contains data from C:\AAA Miker Files\newer web pages\soc_388_notes\70-80-90 MR

>  intermar.dta

  obs:           225                         

 vars:             8                          27 Oct 2003 10:53

 size:         6,750 (99.9% of memory free)

-------------------------------------------------------------------------------

              storage  display     value

variable name   type   format      label      variable label

-------------------------------------------------------------------------------

meth            str8   %9s                   

feth            str9   %9s                   

mgen            byte   %8.0g                 

fgen            byte   %8.0g                 

year            byte   %8.0g                 

count           long   %12.0g                 Frequency

meth_num        byte   %8.0g       racelbl   

feth_num        byte   %8.0g       racelbl   

-------------------------------------------------------------------------------

Sorted by:  year  mgen  fgen 

 

. tabulate meth

 

       meth |      Freq.     Percent        Cum.

------------+-----------------------------------

     Blk_NH |         45       20.00       20.00

     Mex_Am |         45       20.00       40.00

      Oth_H |         45       20.00       60.00

     Oth_NH |         45       20.00       80.00

     Wht_NH |         45       20.00      100.00

------------+-----------------------------------

      Total |        225      100.00

 

. tabulate meth [fweight=count]

 

       meth |      Freq.     Percent        Cum.

------------+-----------------------------------

     Blk_NH |     45,681        7.03        7.03

     Mex_Am |     25,294        3.89       10.92

      Oth_H |     11,609        1.79       12.71

     Oth_NH |      8,100        1.25       13.96

     Wht_NH |    559,137       86.04      100.00

------------+-----------------------------------

      Total |    649,821      100.00

 

. tabulate  mgen

 

       mgen |      Freq.     Percent        Cum.

------------+-----------------------------------

          1 |         75       33.33       33.33

          2 |        150       66.67      100.00

------------+-----------------------------------

      Total |        225      100.00

 

. tabulate  mgen [fweight=count]

 

       mgen |      Freq.     Percent        Cum.

------------+-----------------------------------

          1 |     19,825        3.05        3.05

          2 |    629,996       96.95      100.00

------------+-----------------------------------

      Total |    649,821      100.00

 

. tabulate year [fweight=count]

 

       year |      Freq.     Percent        Cum.

------------+-----------------------------------

         70 |     64,903        9.99        9.99

         80 |    348,247       53.59       63.58

         90 |    236,671       36.42      100.00

------------+-----------------------------------

      Total |    649,821      100.00

 

. display 5*5*2*2*3

300

 

. describe

 

Contains data from C:\AAA Miker Files\newer web pages\soc_388_notes\70-80-90 MRintermar.dta

  obs:           225                         

 vars:             8                          27 Oct 2003 10:53

 size:         6,750 (99.9% of memory free)

-------------------------------------------------------------------------------

              storage  display     value

variable name   type   format      label      variable label

-------------------------------------------------------------------------------

meth            str8   %9s                    

feth            str9   %9s                   

mgen            byte   %8.0g                 

fgen            byte   %8.0g                 

year            byte   %8.0g                 

count           long   %12.0g                 Frequency

meth_num        byte   %8.0g       racelbl   

feth_num        byte   %8.0g       racelbl   

-------------------------------------------------------------------------------

Sorted by:  year  mgen  fgen 

 

. *We should have 300 cells, but we only have 225. What is missing?

. tabulate mgen fgen [fweight=count]

 

           |         fgen

      mgen |         1          2 |     Total

-----------+----------------------+----------

         1 |         0     19,825 |    19,825

         2 |    19,166    610,830 |   629,996

-----------+----------------------+----------

     Total |    19,166    630,655 |   649,821

 

 

. *I have created a structural zero in this dataset, by not including the cells where husband and wife are both gen==1, that is to say foreign born.

. tabulate mgen fgen

 

           |         fgen

      mgen |         1          2 |     Total

-----------+----------------------+----------

         1 |         0         75 |        75

         2 |        75         75 |       150

-----------+----------------------+----------

     Total |        75        150 |       225

 

 

. *That makes the dataset a little bit more of a puzzle in some ways.

. tabulate count

 

  Frequency |      Freq.     Percent        Cum.

------------+-----------------------------------

          0 |          8        3.56        3.56

          1 |          7        3.11        6.67

          2 |          7        3.11        9.78

          3 |          8        3.56       13.33

          5 |          9        4.00       17.33

          6 |          4        1.78       19.11

          7 |          5        2.22       21.33

          8 |          2        0.89       22.22

          9 |          1        0.44       22.67

         10 |          1        0.44       23.11

         11 |          2        0.89       24.00

         12 |          7        3.11       27.11

         13 |          1        0.44       27.56

         14 |          4        1.78       29.33

         15 |          1        0.44       29.78

         16 |          1        0.44       30.22

         17 |          1        0.44       30.67

         19 |          1        0.44       31.11

         20 |          4        1.78       32.89

         21 |          2        0.89       33.78

         22 |          1        0.44       34.22

         23 |          1        0.44       34.67

         25 |          1        0.44       35.11

         26 |          4        1.78       36.89

         27 |          1        0.44       37.33

         29 |          1        0.44       37.78

         33 |          3        1.33       39.11

         34 |          1        0.44       39.56

         35 |          3        1.33       40.89

         36 |          2        0.89       41.78

         38 |          2        0.89       42.67

         40 |          2        0.89       43.56

         41 |          1        0.44       44.00

         42 |          1        0.44       44.44

         43 |          3        1.33       45.78

         45 |          1        0.44       46.22

         46 |          1        0.44       46.67

         47 |          1        0.44       47.11

         50 |          2        0.89       48.00

         54 |          1        0.44       48.44

         56 |          1        0.44       48.89

         60 |          2        0.89       49.78

         61 |          1        0.44       50.22

         62 |          1        0.44       50.67

         64 |          1        0.44       51.11

         65 |          1        0.44       51.56

         66 |          3        1.33       52.89

         67 |          1        0.44       53.33

         68 |          3        1.33       54.67

         71 |          1        0.44       55.11

         76 |          1        0.44       55.56

         78 |          3        1.33       56.89

         79 |          1        0.44       57.33

         80 |          2        0.89       58.22

         81 |          1        0.44       58.67

         85 |          2        0.89       59.56

         88 |          1        0.44       60.00

         91 |          1        0.44       60.44

         94 |          1        0.44       60.89

         95 |          1        0.44       61.33

         96 |          1        0.44       61.78

        104 |          1        0.44       62.22

        105 |          1        0.44       62.67

        107 |          1        0.44       63.11

        109 |          2        0.89       64.00

        121 |          1        0.44       64.44

        122 |          1        0.44       64.89

        123 |          1        0.44       65.33

        126 |          1        0.44       65.78

        129 |          1        0.44       66.22

        130 |          1        0.44       66.67

        131 |          1        0.44       67.11

        132 |          1        0.44       67.56

        134 |          1        0.44       68.00

        138 |          1        0.44       68.44

        139 |          1        0.44       68.89

        144 |          1        0.44       69.33

        147 |          1        0.44       69.78

        148 |          1        0.44       70.22

        156 |          1        0.44       70.67

        158 |          1        0.44       71.11

        186 |          1        0.44       71.56

        224 |          1        0.44       72.00

        230 |          1        0.44       72.44

        232 |          2        0.89       73.33

        239 |          1        0.44       73.78

        246 |          1        0.44       74.22

        257 |          1        0.44       74.67

        263 |          1        0.44       75.11

        296 |          1        0.44       75.56

        315 |          1        0.44       76.00

        329 |          1        0.44       76.44

        381 |          1        0.44       76.89

        391 |          1        0.44       77.33

        401 |          1        0.44       77.78

        405 |          1        0.44       78.22

        413 |          1        0.44       78.67

        481 |          1        0.44       79.11

        482 |          1        0.44       79.56

        627 |          1        0.44       80.00

        628 |          1        0.44       80.44

        632 |          1        0.44       80.89

        640 |          1        0.44       81.33

        686 |          1        0.44       81.78

        756 |          1        0.44       82.22

        773 |          1        0.44       82.67

        789 |          1        0.44       83.11

        809 |          1        0.44       83.56

        878 |          1        0.44       84.00

        914 |          1        0.44       84.44

        919 |          1        0.44       84.89

       1006 |          1        0.44       85.33

       1012 |          1        0.44       85.78

       1083 |          1        0.44       86.22

       1135 |          1        0.44       86.67

       1163 |          1        0.44       87.11

       1176 |          1        0.44       87.56

       1197 |          1        0.44       88.00

       1227 |          1        0.44       88.44

       1392 |          1        0.44       88.89

       1430 |          1        0.44       89.33

       1454 |          1        0.44       89.78

       1492 |          1        0.44       90.22

       1514 |          1        0.44       90.67

       1527 |          1        0.44       91.11

       1545 |          1        0.44       91.56

       1558 |          1        0.44       92.00

       1586 |          1        0.44       92.44

       1653 |          1        0.44       92.89

       2171 |          1        0.44       93.33

       2204 |          1        0.44       93.78

       2210 |          1        0.44       94.22

       2556 |          1        0.44       94.67

       3629 |          1        0.44       95.11

       3752 |          1        0.44       95.56

       4596 |          1        0.44       96.00

       5019 |          1        0.44       96.44

       5020 |          1        0.44       96.89

       5151 |          1        0.44       97.33

       7116 |          1        0.44       97.78

      12005 |          1        0.44       98.22

      24628 |          1        0.44       98.67

      54331 |          1        0.44       99.11

     188975 |          1        0.44       99.56

     280562 |          1        0.44      100.00

------------+-----------------------------------

      Total |        225      100.00

 

. *There are also some sampling zeros in the data, 8 out of 225 cells are zero in fact. We deal with the sampling zeros by modeling them as best we can.

. clear

 

. *Now let's look at a dataset that has even more sampling zeros.

. use "C:\AAA Miker Files\newer web pages\soc_388_notes\Qian 80-90 intermar.dta", clear

 

. describe

 

Contains data from C:\AAA Miker Files\newer web pages\soc_388_notes\Qian 80-90

> intermar.dta

  obs:           512                         

 vars:             7                          24 Oct 2005 11:48

 size:        11,264 (99.9% of memory free)

-------------------------------------------------------------------------------

              storage  display     value

variable name   type   format      label      variable label

-------------------------------------------------------------------------------

mfulleth        str5   %9s                   

med4            byte   %8.0g                 

ffulleth        str5   %9s                   

fed4            byte   %8.0g                 

count           long   %12.0g                 COUNT

year            byte   %8.0g                 

r_endog         byte   %9.0g                 

-------------------------------------------------------------------------------

Sorted by:  year  med4  fed4 

 

. *This is a dataset that comes from a paper by Qian from demography 1997.

. tabulate  mfulleth

 

   mfulleth |      Freq.     Percent        Cum.

------------+-----------------------------------

      Asian |        128       25.00       25.00

       Hisp |        128       25.00       50.00

      black |        128       25.00       75.00

      white |        128       25.00      100.00

------------+-----------------------------------

      Total |        512      100.00

 

. tabulate  med4

 

       med4 |      Freq.     Percent        Cum.

------------+-----------------------------------

          1 |        128       25.00       25.00

          2 |        128       25.00       50.00

          3 |        128       25.00       75.00

          4 |        128       25.00      100.00

------------+-----------------------------------

      Total |        512      100.00

 

. tabulate year

 

       year |      Freq.     Percent        Cum.

------------+-----------------------------------

         80 |        256       50.00       50.00

         90 |        256       50.00      100.00

------------+-----------------------------------

      Total |        512      100.00

 

. display 4*4*4*4*2

512

 

. tabulate count

 

      COUNT |      Freq.     Percent        Cum.

------------+-----------------------------------

          0 |        102       19.92       19.92

          1 |         49        9.57       29.49

          2 |         23        4.49       33.98

          3 |         27        5.27       39.26

          4 |         12        2.34       41.60

          5 |         15        2.93       44.53

          6 |         11        2.15       46.68

          7 |          5        0.98       47.66

          8 |          5        0.98       48.63

          9 |          2        0.39       49.02

         10 |         10        1.95       50.98

         11 |          6        1.17       52.15

         12 |          8        1.56       53.71

         13 |          5        0.98       54.69

         14 |          3        0.59       55.27

         15 |          3        0.59       55.86

         16 |          2        0.39       56.25

         17 |          4        0.78       57.03

         18 |          3        0.59       57.62

         19 |          3        0.59       58.20

         21 |          8        1.56       59.77

         22 |          2        0.39       60.16

         23 |          4        0.78       60.94

         24 |          4        0.78       61.72

         25 |          2        0.39       62.11

         26 |          2        0.39       62.50

         27 |          3        0.59       63.09

         29 |          1        0.20       63.28

         30 |          1        0.20       63.48

         31 |          2        0.39       63.87

         32 |          4        0.78       64.65

         34 |          2        0.39       65.04

         35 |          1        0.20       65.23

         36 |          3        0.59       65.82

         37 |          4        0.78       66.60

         38 |          2        0.39       66.99

         39 |          2        0.39       67.38

         41 |          1        0.20       67.58

         42 |          3        0.59       68.16

         43 |          3        0.59       68.75

         44 |          1        0.20       68.95

         45 |          1        0.20       69.14

         46 |          1        0.20       69.34

         48 |          2        0.39       69.73

         50 |          2        0.39       70.12

         51 |          1        0.20       70.31

         53 |          2        0.39       70.70

         59 |          2        0.39       71.09

         62 |          2        0.39       71.48

         65 |          1        0.20       71.68

         71 |          3        0.59       72.27

         73 |          1        0.20       72.46

         75 |          1        0.20       72.66

         76 |          1        0.20       72.85

         77 |          1        0.20       73.05

         78 |          1        0.20       73.24

         85 |          1        0.20       73.44

         87 |          1        0.20       73.63

         88 |          1        0.20       73.83

         89 |          2        0.39       74.22

         90 |          1        0.20       74.41

         93 |          1        0.20       74.61

         94 |          1        0.20       74.80

         97 |          1        0.20       75.00

        100 |          1        0.20       75.20

        102 |          1        0.20       75.39

        108 |          1        0.20       75.59

        112 |          1        0.20       75.78

        115 |          1        0.20       75.98

        118 |          1        0.20       76.17

        128 |          1        0.20       76.37

        130 |          1        0.20       76.56

        132 |          1        0.20       76.76

        140 |          1        0.20       76.95

        141 |          1        0.20       77.15

        145 |          1        0.20       77.34

        146 |          1        0.20       77.54

        148 |          1        0.20       77.73

        149 |          1        0.20       77.93

        156 |          1        0.20       78.13

        157 |          1        0.20       78.32

        160 |          1        0.20       78.52

        161 |          1        0.20       78.71

        163 |          1        0.20       78.91

        164 |          1        0.20       79.10

        165 |          1        0.20       79.30

        187 |          1        0.20       79.49

        192 |          1        0.20       79.69

        198 |          1        0.20       79.88

        204 |          1        0.20       80.08

        205 |          1        0.20       80.27

        210 |          1        0.20       80.47

        216 |          1        0.20       80.66

        217 |          1        0.20       80.86

        220 |          1        0.20       81.05

        222 |          1        0.20       81.25

        227 |          1        0.20       81.45

        234 |          1        0.20       81.64

        235 |          1        0.20       81.84

        257 |          2        0.39       82.23

        264 |          1        0.20       82.42

        283 |          1        0.20       82.62

        295 |          1        0.20       82.81

        297 |          1        0.20       83.01

        303 |          1        0.20       83.20

        311 |          1        0.20       83.40

        313 |          1        0.20       83.59

        324 |          1        0.20       83.79

        334 |          1        0.20       83.98

        341 |          1        0.20       84.18

        343 |          1        0.20       84.38

        351 |          1        0.20       84.57

        354 |          1        0.20       84.77

        367 |          1        0.20       84.96

        374 |          1        0.20       85.16

        390 |          2        0.39       85.55

        394 |          1        0.20       85.74

        404 |          1        0.20       85.94

        405 |          1        0.20       86.13

        419 |          1        0.20       86.33

        423 |          1        0.20       86.52

        454 |          1        0.20       86.72

        468 |          1        0.20       86.91

        473 |          1        0.20       87.11

        477 |          1        0.20       87.30

        497 |          1        0.20       87.50

        501 |          1        0.20       87.70

        519 |          1        0.20       87.89

        547 |          1        0.20       88.09

        557 |          1        0.20       88.28

        565 |          1        0.20       88.48

        572 |          1        0.20       88.67

        598 |          1        0.20       88.87

        607 |          1        0.20       89.06

        624 |          1        0.20       89.26

        633 |          1        0.20       89.45

        636 |          1        0.20       89.65

        660 |          1        0.20       89.84

        667 |          1        0.20       90.04

        713 |          1        0.20       90.23

        782 |          1        0.20       90.43

        783 |          1        0.20       90.63

        870 |          2        0.39       91.02

       1045 |          1        0.20       91.21

       1082 |          1        0.20       91.41

       1119 |          1        0.20       91.60

       1129 |          1        0.20       91.80

       1132 |          1        0.20       91.99

       1227 |          1        0.20       92.19

       1513 |          1        0.20       92.38

       1716 |          1        0.20       92.58

       1911 |          1        0.20       92.77

       2039 |          1        0.20       92.97

       2054 |          1        0.20       93.16

       2119 |          1        0.20       93.36

       2162 |          1        0.20       93.55

       2173 |          1        0.20       93.75

       2180 |          1        0.20       93.95

       2383 |          1        0.20       94.14

       2509 |          1        0.20       94.34

       2643 |          1        0.20       94.53

       2657 |          1        0.20       94.73

       2939 |          1        0.20       94.92

       2982 |          1        0.20       95.12

       3381 |          1        0.20       95.31

       4122 |          1        0.20       95.51

       4161 |          1        0.20       95.70

       6734 |          1        0.20       95.90

       7868 |          2        0.39       96.29

       8301 |          1        0.20       96.48

       9380 |          1        0.20       96.68

       9821 |          1        0.20       96.88

      10095 |          1        0.20       97.07

      10142 |          1        0.20       97.27

      15539 |          1        0.20       97.46

      15601 |          1        0.20       97.66

      15801 |          1        0.20       97.85

      16340 |          1        0.20       98.05

      17604 |          1        0.20       98.24

      18173 |          1        0.20       98.44

      19526 |          1        0.20       98.63

      20444 |          1        0.20       98.83

      24167 |          1        0.20       99.02

      27314 |          1        0.20       99.22

      27573 |          1        0.20       99.41

      29109 |          1        0.20       99.61

      39467 |          1        0.20       99.80

      81301 |          1        0.20      100.00

------------+-----------------------------------

      Total |        512      100.00

 

. *102 of the 512 cells are zero. This actually can easily be a problem when you are trying to estimate models. Let's see how.

. desmat: poisson count  mfulleth*med4*year ffulleth*fed4*year, verbose

 

Desmat generated the following design matrix:

 

nr   Variables       Term                        Parameterization

     First    Last

 

 1    _x_1    _x_3   mfulleth                    ind(1)

 2    _x_4    _x_6   med4                        ind(1)

 3    _x_7   _x_15   mfulleth.med4               ind(1).ind(1)

 4   _x_16           year                        ind(80)

 5   _x_17   _x_19   mfulleth.year               ind(1).ind(80)

 6   _x_20   _x_22   med4.year                   ind(1).ind(80)

 7   _x_23   _x_31   mfulleth.med4.year          ind(1).ind(1).ind(80)

 8   _x_32   _x_34   ffulleth                    ind(1)

 9   _x_35   _x_37   fed4                        ind(1)

10   _x_38   _x_46   ffulleth.fed4               ind(1).ind(1)

11   _x_47   _x_49   ffulleth.year               ind(1).ind(80)

12   _x_50   _x_52   fed4.year                   ind(1).ind(80)

13   _x_53   _x_61   ffulleth.fed4.year          ind(1).ind(1).ind(80)

 

Iteration 0:   log likelihood = -2101751.6 

Iteration 1:   log likelihood = -1680207.8  (backed up)

Iteration 2:   log likelihood = -1440759.3 

Iteration 3:   log likelihood = -538553.17 

Iteration 4:   log likelihood = -280289.69 

Iteration 5:   log likelihood = -273068.86 

Iteration 6:   log likelihood = -272981.88 

Iteration 7:   log likelihood = -272981.86 

 

Poisson regression                                Number of obs   =        512

                                                  LR chi2(61)     = 2258852.86

                                                  Prob > chi2     =     0.0000

Log likelihood = -272981.86                       Pseudo R2       =     0.8053

 

------------------------------------------------------------------------------

       count |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]

-------------+----------------------------------------------------------------

        _x_1 |   5.732471   .2676082    21.42   0.000     5.207969    6.256974

        _x_2 |   5.890018   .2675452    22.02   0.000     5.365639    6.414397

        _x_3 |   7.872986   .2672267    29.46   0.000     7.349231    8.396741

        _x_4 |   1.955423   .2854539     6.85   0.000     1.395944    2.514903

        _x_5 |   2.454054   .2784204     8.81   0.000      1.90836    2.999748

        _x_6 |   2.767475   .2754401    10.05   0.000     2.227623    3.307328

        _x_7 |  -1.656304   .2861584    -5.79   0.000    -2.217164   -1.095444

        _x_8 |  -2.861023   .2794574   -10.24   0.000     -3.40875   -2.313296

        _x_9 |  -4.207195   .2776222   -15.15   0.000    -4.751324   -3.663065

       _x_10 |  -1.143068    .285953    -4.00   0.000    -1.703525   -.5826102

       _x_11 |  -2.382234   .2791044    -8.54   0.000    -2.929268   -1.835199

       _x_12 |  -3.576285   .2766012   -12.93   0.000    -4.118413   -3.034156

       _x_13 |  -.7645021    .285516    -2.68   0.007    -1.324103    -.204901

       _x_14 |  -1.902726   .2784973    -6.83   0.000    -2.448571   -1.356881

       _x_15 |  -2.366507   .2755225    -8.59   0.000    -2.906521   -1.826492

       _x_16 |  -.6359079   .5793622    -1.10   0.272    -1.771437    .4996212

       _x_17 |   .0201011   .4635997     0.04   0.965    -.8885377    .9287399

       _x_18 |  -.2842166   .4636407    -0.61   0.540    -1.192936    .6245026

       _x_19 |   .2870418   .4629341     0.62   0.535    -.6202924    1.194376

       _x_20 |  -.3749736   .5037388    -0.74   0.457    -1.362283    .6123363

       _x_21 |   .0188761   .4821029     0.04   0.969    -.9260281    .9637804

       _x_22 |   .0657375   .4765791     0.14   0.890    -.8683404    .9998154

       _x_23 |   .4916962   .5048843     0.97   0.330    -.4978588    1.481251

       _x_24 |   .5775696   .4835602     1.19   0.232     -.370191     1.52533

       _x_25 |   .1540088   .4799209     0.32   0.748    -.7866189    1.094637

       _x_26 |   .5833444     .50473     1.16   0.248    -.4059083    1.572597

       _x_27 |   .6714441   .4832958     1.39   0.165    -.2757982    1.618686

       _x_28 |   .0941022   .4788516     0.20   0.844    -.8444297    1.032634

       _x_29 |   .2551188   .5038284     0.51   0.613    -.7323667    1.242604

       _x_30 |   .2659069    .482208     0.55   0.581    -.6792034    1.211017

       _x_31 |  -.1254384      .4767    -0.26   0.792    -1.059753    .8088765

       _x_32 |    5.34353   .2241405    23.84   0.000     4.904222    5.782837

       _x_33 |   5.356114   .2241338    23.90   0.000      4.91682    5.795409

       _x_34 |   7.488601   .2236693    33.48   0.000     7.050217    7.926985

       _x_35 |   2.014903   .2380476     8.46   0.000     1.548338    2.481468

       _x_36 |   2.256541   .2350226     9.60   0.000     1.795905    2.717177

       _x_37 |   2.420368   .2333333    10.37   0.000     1.963043    2.877693

       _x_38 |  -1.591206   .2388766    -6.66   0.000    -2.059396   -1.123017

       _x_39 |  -2.808836   .2364099   -11.88   0.000    -3.272191   -2.345481

       _x_40 |  -4.194365   .2368372   -17.71   0.000    -4.658557   -3.730173

       _x_41 |  -1.031894   .2387277    -4.32   0.000    -1.499791   -.5639958

       _x_42 |  -1.981623   .2359042    -8.40   0.000    -2.443987   -1.519259

       _x_43 |  -3.066502   .2347992   -13.06   0.000      -3.5267   -2.606304

       _x_44 |  -.6599469   .2381215    -2.77   0.006    -1.126656   -.1932373

       _x_45 |  -1.700147   .2351162    -7.23   0.000    -2.160966   -1.239328

       _x_46 |  -2.285499   .2334456    -9.79   0.000    -2.743044   -1.827954

       _x_47 |  -.4147245   .3495487    -1.19   0.235    -1.099827    .2703784

       _x_48 |  -.6504528   .3497292    -1.86   0.063    -1.335909    .0350038

       _x_49 |  -.1883215   .3485753    -0.54   0.589    -.8715166    .4948736

       _x_50 |  -1.043043   .3938556    -2.65   0.008    -1.814985   -.2710997

       _x_51 |  -.4182617   .3715209    -1.13   0.260    -1.146429    .3099059

       _x_52 |  -.0826917   .3643756    -0.23   0.820    -.7968547    .6314713

       _x_53 |   1.180953   .3953848     2.99   0.003     .4060129    1.955893

       _x_54 |   1.397664   .3735449     3.74   0.000     .6655291    2.129798

       _x_55 |   .8736175   .3692086     2.37   0.018      .149982    1.597253

       _x_56 |   1.093705   .3953761     2.77   0.006     .3187818    1.868628

       _x_57 |   1.211124    .373244     3.24   0.001     .4795789    1.942668

       _x_58 |   .5221796    .367282     1.42   0.155    -.1976798    1.242039

       _x_59 |   .8987948   .3939798     2.28   0.023     .1266087    1.670981

       _x_60 |   .9947627    .371666     2.68   0.007     .2663108    1.723215

       _x_61 |   .4022689   .3645557     1.10   0.270    -.3122471    1.116785

       _cons |  -7.025743    .348396   -20.17   0.000    -7.708587     -6.3429

------------------------------------------------------------------------------

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                 512

   Initial log likelihood:                                        -1402408.286

   Log likelihood:                                                 -272981.859

   LR chi square:                                                  2258852.856

   Model degrees of freedom:                                                61

   Pseudo R-squared:                                                     0.805

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     mfulleth

1      Hisp                                                  5.732**     0.268

2      black                                                 5.890**     0.268

3      white                                                 7.873**     0.267

     med4

4      2                                                     1.955**     0.285

5      3                                                     2.454**     0.278

6      4                                                     2.767**     0.275

     mfulleth.med4

7      Hisp.2                                               -1.656**     0.286

8      Hisp.3                                               -2.861**     0.279

9      Hisp.4                                               -4.207**     0.278

10     black.2                                              -1.143**     0.286

11     black.3                                              -2.382**     0.279

12     black.4                                              -3.576**     0.277

13     white.2                                              -0.765**     0.286

14     white.3                                              -1.903**     0.278

15     white.4                                              -2.367**     0.276

     year

16     90                                                   -0.636       0.579

     mfulleth.year

17     Hisp.90                                               0.020       0.464

18     black.90                                             -0.284       0.464

19     white.90                                              0.287       0.463

     med4.year

20     2.90                                                 -0.375       0.504

21     3.90                                                  0.019       0.482

22     4.90                                                  0.066       0.477

     mfulleth.med4.year

23     Hisp.2.90                                             0.492       0.505

24     Hisp.3.90                                             0.578       0.484

25     Hisp.4.90                                             0.154       0.480

26     black.2.90                                            0.583       0.505

27     black.3.90                                            0.671       0.483

28     black.4.90                                            0.094       0.479

29     white.2.90                                            0.255       0.504

30     white.3.90                                            0.266       0.482

31     white.4.90                                           -0.125       0.477

     ffulleth

32     Hisp                                                  5.344**     0.224

33     black                                                 5.356**     0.224

34     white                                                 7.489**     0.224

     fed4

35     2                                                     2.015**     0.238

36     3                                                     2.257**     0.235

37     4                                                     2.420**     0.233

     ffulleth.fed4

38     Hisp.2                                               -1.591**     0.239

39     Hisp.3                                               -2.809**     0.236

40     Hisp.4                                               -4.194**     0.237

41     black.2                                              -1.032**     0.239

42     black.3                                              -1.982**     0.236

43     black.4                                              -3.067**     0.235

44     white.2                                              -0.660**     0.238

45     white.3                                              -1.700**     0.235

46     white.4                                              -2.285**     0.233

     ffulleth.year

47     Hisp.90                                              -0.415       0.350

48     black.90                                             -0.650       0.350

49     white.90                                             -0.188       0.349

     fed4.year

50     2.90                                                 -1.043**     0.394

51     3.90                                                 -0.418       0.372

52     4.90                                                 -0.083       0.364

     ffulleth.fed4.year

53     Hisp.2.90                                             1.181**     0.395

54     Hisp.3.90                                             1.398**     0.374

55     Hisp.4.90                                             0.874*      0.369

56     black.2.90                                            1.094**     0.395

57     black.3.90                                            1.211**     0.373

58     black.4.90                                            0.522       0.367

59     white.2.90                                            0.899*      0.394

60     white.3.90                                            0.995**     0.372

61     white.4.90                                            0.402       0.365

62   _cons                                                  -7.026**     0.348

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

.  poisgof

 

         Goodness-of-fit chi2  =  543766.7

         Prob > chi2(450)      =    0.0000

 

. *That one fit easy, not a good fit but a fast likelihood maximization.

. desmat: poisson count  mfulleth*med4*fed4*year ffulleth*fed4*med4*year, verbose

 

Desmat generated the following design matrix:

 

nr   Variables       Term                        Parameterization

     First    Last

 

 1    _x_1    _x_3   mfulleth                    ind(1)

 2    _x_4    _x_6   med4                        ind(1)

 3    _x_7   _x_15   mfulleth.med4               ind(1).ind(1)

 4   _x_16   _x_18   fed4                        ind(1)

 5   _x_19   _x_27   mfulleth.fed4               ind(1).ind(1)

 6   _x_28   _x_36   med4.fed4                   ind(1).ind(1)

 7   _x_37   _x_63   mfulleth.med4.fed4          ind(1).ind(1).ind(1)

 8   _x_64           year                        ind(80)

 9   _x_65   _x_67   mfulleth.year               ind(1).ind(80)

10   _x_68   _x_70   med4.year                   ind(1).ind(80)

11   _x_71   _x_79   mfulleth.med4.year          ind(1).ind(1).ind(80)

12   _x_80   _x_82   fed4.year                   ind(1).ind(80)

13   _x_83   _x_91   mfulleth.fed4.year          ind(1).ind(1).ind(80)

14   _x_92   _x_99   med4.fed4.year              ind(1).ind(1).ind(80)

15  _x_100  _x_126   mfulleth.med4.fed4.year     ind(1).ind(1).ind(1).ind(80)

16  _x_127  _x_129   ffulleth                    ind(1)

17  _x_130  _x_138   ffulleth.fed4               ind(1).ind(1)

18  _x_139  _x_147   ffulleth.med4               ind(1).ind(1)

19  _x_148  _x_174   ffulleth.fed4.med4          ind(1).ind(1).ind(1)

20  _x_175  _x_177   ffulleth.year               ind(1).ind(80)

21  _x_178  _x_186   ffulleth.fed4.year          ind(1).ind(1).ind(80)

22  _x_187  _x_195   ffulleth.med4.year          ind(1).ind(1).ind(80)

23  _x_196           fed4.med4.year              ind(1).ind(1).ind(80)

24  _x_197  _x_223   ffulleth.fed4.med4.year     ind(1).ind(1).ind(1).ind(80)

 

Iteration 0:   log likelihood =  -10182718  (not concave)

Iteration 1:   log likelihood =   -9775409  (not concave)

Iteration 2:   log likelihood = -8993376.6  (not concave)

Iteration 3:   log likelihood = -8091654.2  (not concave)

Iteration 4:   log likelihood = -7444357.8  (not concave)

Iteration 5:   log likelihood = -6491615.2  (not concave)

Iteration 6:   log likelihood = -5455862.1  (not concave)

Iteration 7:   log likelihood = -4592233.3  (not concave)

Iteration 8:   log likelihood = -3909283.7  (not concave)

Iteration 9:   log likelihood = -3417118.4  (not concave)

Iteration 10:  log likelihood =   -2973957  (not concave)

Iteration 11:  log likelihood =   -2783195  (not concave)

Iteration 12:  log likelihood = -2592428.7  (not concave)

Iteration 13:  log likelihood = -2221113.9  (not concave)

Iteration 14:  log likelihood = -2052404.7  (not concave)

Iteration 15:  log likelihood = -1754366.1  (not concave)

Iteration 16:  log likelihood = -1604776.6  (not concave)

Iteration 17:  log likelihood = -1483631.8  (not concave)

Iteration 18:  log likelihood =   -1343375  (not concave)

Iteration 19:  log likelihood = -1247741.1  (not concave)

Iteration 20:  log likelihood =   -1161997  (not concave)

Iteration 21:  log likelihood = -1072588.2  (not concave)

Iteration 22:  log likelihood = -970211.93  (not concave)

Iteration 23:  log likelihood = -924405.15  (not concave)

Iteration 24:  log likelihood =  -870858.9  (not concave)

Iteration 25:  log likelihood = -808624.74  (not concave)

Iteration 26:  log likelihood =  -777813.6  (not concave)

Iteration 27:  log likelihood = -736661.37 

Iteration 28:  log likelihood = -714424.98  (backed up)

Iteration 29:  log likelihood = -585481.63  (backed up)

Iteration 30:  log likelihood = -271160.25  (backed up)

Iteration 31:  log likelihood = -191025.55 

Iteration 32:  log likelihood = -160267.66 

Iteration 33:  log likelihood = -155976.88 

Iteration 34:  log likelihood = -155783.44 

Iteration 35:  log likelihood = -155780.43  (not concave)

Iteration 36:  log likelihood = -155780.43  (not concave)

Iteration 37:  log likelihood = -155780.43  (not concave)

Iteration 38:  log likelihood = -155780.43  (not concave)

Iteration 39:  log likelihood = -155780.43  (not concave)

Iteration 40:  log likelihood = -155780.42  (not concave)

Iteration 41:  log likelihood = -155780.42  (not concave)

Iteration 42:  log likelihood = -155780.42  (not concave)

Iteration 43:  log likelihood = -155780.42  (not concave)

Iteration 44:  log likelihood = -155780.42  (not concave)

Iteration 45:  log likelihood = -155780.42  (not concave)

Iteration 46:  log likelihood = -155780.42  (not concave)

Iteration 47:  log likelihood = -155780.42  (not concave)

Iteration 48:  log likelihood = -155780.42  (not concave)

Iteration 49:  log likelihood = -155780.42  (not concave)

Iteration 50:  log likelihood = -155780.42  (not concave)

Iteration 51:  log likelihood = -155780.42  (not concave)

Iteration 52:  log likelihood = -155780.42  (not concave)

Iteration 53:  log likelihood = -155780.42  (not concave)

Iteration 54:  log likelihood = -155780.42  (not concave)

Iteration 55:  log likelihood = -155780.42  (not concave)

Iteration 56:  log likelihood = -155780.42  (not concave)

Iteration 57:  log likelihood = -155780.42  (not concave)

Iteration 58:  log likelihood = -155780.42  (not concave)

Iteration 59:  log likelihood = -155780.42  (not concave)

Iteration 60:  log likelihood = -155780.42  (not concave)

Iteration 61:  log likelihood = -155780.42  (not concave)

Iteration 62:  log likelihood = -155780.42  (not concave)

Iteration 63:  log likelihood = -155780.42  (not concave)

Iteration 64:  log likelihood = -155780.42  (not concave)

Iteration 65:  log likelihood = -155780.42  (not concave)

--Break--

r(1);

 

. *That maximization process did not seem to be working very well. It was stuck

on one value and not improving.

. desmat: poisson count  mfulleth*med4*fed4*year ffulleth*fed4*med4*year, verbose difficult

 

Desmat generated the following design matrix:

 

nr   Variables       Term                        Parameterization

     First    Last

 

 1    _x_1    _x_3   mfulleth                    ind(1)

 2    _x_4    _x_6   med4                        ind(1)

 3    _x_7   _x_15   mfulleth.med4               ind(1).ind(1)

 4   _x_16   _x_18   fed4                        ind(1)

 5   _x_19   _x_27   mfulleth.fed4               ind(1).ind(1)

 6   _x_28   _x_36   med4.fed4                   ind(1).ind(1)

 7   _x_37   _x_63   mfulleth.med4.fed4          ind(1).ind(1).ind(1)

 8   _x_64           year                        ind(80)

 9   _x_65   _x_67   mfulleth.year               ind(1).ind(80)

10   _x_68   _x_70   med4.year                   ind(1).ind(80)

11   _x_71   _x_79   mfulleth.med4.year          ind(1).ind(1).ind(80)

12   _x_80   _x_82   fed4.year                   ind(1).ind(80)

13   _x_83   _x_91   mfulleth.fed4.year          ind(1).ind(1).ind(80)

14   _x_92   _x_99   med4.fed4.year              ind(1).ind(1).ind(80)

15  _x_100  _x_126   mfulleth.med4.fed4.year     ind(1).ind(1).ind(1).ind(80)

16  _x_127  _x_129   ffulleth                    ind(1)

17  _x_130  _x_138   ffulleth.fed4               ind(1).ind(1)

18  _x_139  _x_147   ffulleth.med4               ind(1).ind(1)

19  _x_148  _x_174   ffulleth.fed4.med4          ind(1).ind(1).ind(1)

20  _x_175  _x_177   ffulleth.year               ind(1).ind(80)

21  _x_178  _x_186   ffulleth.fed4.year          ind(1).ind(1).ind(80)

22  _x_187  _x_195   ffulleth.med4.year          ind(1).ind(1).ind(80)

23  _x_196           fed4.med4.year              ind(1).ind(1).ind(80)

24  _x_197  _x_223   ffulleth.fed4.med4.year     ind(1).ind(1).ind(1).ind(80)

 

Iteration 0:   log likelihood =  -10182718  (not concave)

Iteration 1:   log likelihood = -6841124.2  (not concave)

Iteration 2:   log likelihood = -3459967.5  (not concave)

Iteration 3:   log likelihood = -2547632.2 

Iteration 4:   log likelihood = -2460816.8  (backed up)

Iteration 5:   log likelihood = -1708263.2  (backed up)

Iteration 6:   log likelihood = -709252.76 

Iteration 7:   log likelihood = -321262.59 

Iteration 8:   log likelihood =  -186966.3 

Iteration 9:   log likelihood = -158834.18 

Iteration 10:  log likelihood =    -156262 

Iteration 11:  log likelihood = -155810.93 

Iteration 12:  log likelihood = -155780.82  (not concave)

Iteration 13:  log likelihood = -155780.42  (not concave)

Iteration 14:  log likelihood = -155780.42  (not concave)

Iteration 15:  log likelihood = -155780.42  (not concave)

Iteration 16:  log likelihood = -155780.42  (not concave)

Iteration 17:  log likelihood = -155780.42  (not concave)

Iteration 18:  log likelihood = -155780.42  (not concave)

Iteration 19:  log likelihood = -155780.42  (not concave)

Iteration 20:  log likelihood = -155780.42  (not concave)

Iteration 21:  log likelihood = -155780.42  (not concave)

Iteration 22:  log likelihood = -155780.42  (not concave)

Iteration 23:  log likelihood = -155780.42  (not concave)

Iteration 24:  log likelihood = -155780.42  (not concave)

Iteration 25:  log likelihood = -155780.42  (not concave)

Iteration 26:  log likelihood = -155780.42  (not concave)

Iteration 27:  log likelihood = -155780.42  (not concave)

Iteration 28:  log likelihood = -155780.42  (not concave)

Iteration 29:  log likelihood = -155780.42  (not concave)

Iteration 30:  log likelihood = -155780.42  (not concave)

Iteration 31:  log likelihood = -155780.42  (not concave)

Iteration 32:  log likelihood = -155780.42  (not concave)

--Break--

r(1);

 

. *difficult usually works, but here it doesn't seem to make a difference.

. desmat: poisson count  mfulleth*med4*fed4*year ffulleth*fed4*med4*year, verbose difficult iteration(40)

 

Desmat generated the following design matrix:

 

nr   Variables       Term                        Parameterization

     First    Last

 

 1    _x_1    _x_3   mfulleth                    ind(1)

 2    _x_4    _x_6   med4                        ind(1)

 3    _x_7   _x_15   mfulleth.med4               ind(1).ind(1)

 4   _x_16   _x_18   fed4                        ind(1)

 5   _x_19   _x_27   mfulleth.fed4               ind(1).ind(1)

 6   _x_28   _x_36   med4.fed4                   ind(1).ind(1)

 7   _x_37   _x_63   mfulleth.med4.fed4          ind(1).ind(1).ind(1)

 8   _x_64           year                        ind(80)

 9   _x_65   _x_67   mfulleth.year               ind(1).ind(80)

10   _x_68   _x_70   med4.year                   ind(1).ind(80)

11   _x_71   _x_79   mfulleth.med4.year          ind(1).ind(1).ind(80)

12   _x_80   _x_82   fed4.year                   ind(1).ind(80)

13   _x_83   _x_91   mfulleth.fed4.year          ind(1).ind(1).ind(80)

14   _x_92   _x_99   med4.fed4.year              ind(1).ind(1).ind(80)

15  _x_100  _x_126   mfulleth.med4.fed4.year     ind(1).ind(1).ind(1).ind(80)

16  _x_127  _x_129   ffulleth                    ind(1)

17  _x_130  _x_138   ffulleth.fed4               ind(1).ind(1)

18  _x_139  _x_147   ffulleth.med4               ind(1).ind(1)

19  _x_148  _x_174   ffulleth.fed4.med4          ind(1).ind(1).ind(1)

20  _x_175  _x_177   ffulleth.year               ind(1).ind(80)

21  _x_178  _x_186   ffulleth.fed4.year          ind(1).ind(1).ind(80)

22  _x_187  _x_195   ffulleth.med4.year          ind(1).ind(1).ind(80)

23  _x_196           fed4.med4.year              ind(1).ind(1).ind(80)

24  _x_197  _x_223   ffulleth.fed4.med4.year     ind(1).ind(1).ind(1).ind(80)

option iteration() not allowed

r(198);

 

. desmat: poisson count  mfulleth*med4*fed4*year ffulleth*fed4*med4*year, verbose difficult iterations(40)

 

Desmat generated the following design matrix:

 

nr   Variables       Term                        Parameterization

     First    Last

 

 1    _x_1    _x_3   mfulleth                    ind(1)

 2    _x_4    _x_6   med4                        ind(1)

 3    _x_7   _x_15   mfulleth.med4               ind(1).ind(1)

 4   _x_16   _x_18   fed4                        ind(1)

 5   _x_19   _x_27   mfulleth.fed4               ind(1).ind(1)

 6   _x_28   _x_36   med4.fed4                   ind(1).ind(1)

 7   _x_37   _x_63   mfulleth.med4.fed4          ind(1).ind(1).ind(1)

 8   _x_64           year                        ind(80)

 9   _x_65   _x_67   mfulleth.year               ind(1).ind(80)

10   _x_68   _x_70   med4.year                   ind(1).ind(80)

11   _x_71   _x_79   mfulleth.med4.year          ind(1).ind(1).ind(80)

12   _x_80   _x_82   fed4.year                   ind(1).ind(80)

13   _x_83   _x_91   mfulleth.fed4.year          ind(1).ind(1).ind(80)

14   _x_92   _x_99   med4.fed4.year              ind(1).ind(1).ind(80)

15  _x_100  _x_126   mfulleth.med4.fed4.year     ind(1).ind(1).ind(1).ind(80)

16  _x_127  _x_129   ffulleth                    ind(1)

17  _x_130  _x_138   ffulleth.fed4               ind(1).ind(1)

18  _x_139  _x_147   ffulleth.med4               ind(1).ind(1)

19  _x_148  _x_174   ffulleth.fed4.med4          ind(1).ind(1).ind(1)

20  _x_175  _x_177   ffulleth.year               ind(1).ind(80)

21  _x_178  _x_186   ffulleth.fed4.year          ind(1).ind(1).ind(80)

22  _x_187  _x_195   ffulleth.med4.year          ind(1).ind(1).ind(80)

23  _x_196           fed4.med4.year              ind(1).ind(1).ind(80)

24  _x_197  _x_223   ffulleth.fed4.med4.year     ind(1).ind(1).ind(1).ind(80)

option iterations() not allowed

r(198);

 

. desmat: poisson count  mfulleth*med4*fed4*year ffulleth*fed4*med4*year, verbose difficult iterate(40)

 

Desmat generated the following design matrix:

 

nr   Variables       Term                        Parameterization

     First    Last

 

 1    _x_1    _x_3   mfulleth                    ind(1)

 2    _x_4    _x_6   med4                        ind(1)

 3    _x_7   _x_15   mfulleth.med4               ind(1).ind(1)

 4   _x_16   _x_18   fed4                        ind(1)

 5   _x_19   _x_27   mfulleth.fed4               ind(1).ind(1)

 6   _x_28   _x_36   med4.fed4                   ind(1).ind(1)

 7   _x_37   _x_63   mfulleth.med4.fed4          ind(1).ind(1).ind(1)

 8   _x_64           year                        ind(80)

 9   _x_65   _x_67   mfulleth.year               ind(1).ind(80)

10   _x_68   _x_70   med4.year                   ind(1).ind(80)

11   _x_71   _x_79   mfulleth.med4.year          ind(1).ind(1).ind(80)

12   _x_80   _x_82   fed4.year                   ind(1).ind(80)

13   _x_83   _x_91   mfulleth.fed4.year          ind(1).ind(1).ind(80)

14   _x_92   _x_99   med4.fed4.year              ind(1).ind(1).ind(80)

15  _x_100  _x_126   mfulleth.med4.fed4.year     ind(1).ind(1).ind(1).ind(80)

16  _x_127  _x_129   ffulleth                    ind(1)

17  _x_130  _x_138   ffulleth.fed4               ind(1).ind(1)

18  _x_139  _x_147   ffulleth.med4               ind(1).ind(1)

19  _x_148  _x_174   ffulleth.fed4.med4          ind(1).ind(1).ind(1)

20  _x_175  _x_177   ffulleth.year               ind(1).ind(80)

21  _x_178  _x_186   ffulleth.fed4.year          ind(1).ind(1).ind(80)

22  _x_187  _x_195   ffulleth.med4.year          ind(1).ind(1).ind(80)

23  _x_196           fed4.med4.year              ind(1).ind(1).ind(80)

24  _x_197  _x_223   ffulleth.fed4.med4.year     ind(1).ind(1).ind(1).ind(80)

 

Iteration 0:   log likelihood =  -10182718  (not concave)

Iteration 1:   log likelihood = -6841124.2  (not concave)

Iteration 2:   log likelihood = -3459967.5  (not concave)

Iteration 3:   log likelihood = -2547632.2 

Iteration 4:   log likelihood = -2460816.8  (backed up)

Iteration 5:   log likelihood = -1708263.2  (backed up)

Iteration 6:   log likelihood = -709252.76 

Iteration 7:   log likelihood = -321262.59 

Iteration 8:   log likelihood =  -186966.3 

Iteration 9:   log likelihood = -158834.18 

Iteration 10:  log likelihood =    -156262 

Iteration 11:  log likelihood = -155810.93 

Iteration 12:  log likelihood = -155780.82  (not concave)

Iteration 13:  log likelihood = -155780.42  (not concave)

Iteration 14:  log likelihood = -155780.42  (not concave)

Iteration 15:  log likelihood = -155780.42  (not concave)

Iteration 16:  log likelihood = -155780.42  (not concave)

Iteration 17:  log likelihood = -155780.42  (not concave)

Iteration 18:  log likelihood = -155780.42  (not concave)

Iteration 19:  log likelihood = -155780.42  (not concave)

Iteration 20:  log likelihood = -155780.42  (not concave)

Iteration 21:  log likelihood = -155780.42  (not concave)

Iteration 22:  log likelihood = -155780.42  (not concave)

Iteration 23:  log likelihood = -155780.42  (not concave)

Iteration 24:  log likelihood = -155780.42  (not concave)

Iteration 25:  log likelihood = -155780.42  (not concave)

Iteration 26:  log likelihood = -155780.42  (not concave)

Iteration 27:  log likelihood = -155780.42  (not concave)

Iteration 28:  log likelihood = -155780.42  (not concave)

Iteration 29:  log likelihood = -155780.42  (not concave)

Iteration 30:  log likelihood = -155780.42  (not concave)

Iteration 31:  log likelihood = -155780.42  (not concave)

Iteration 32:  log likelihood = -155780.42  (not concave)

Iteration 33:  log likelihood = -155780.42  (not concave)

Iteration 34:  log likelihood = -155780.42  (not concave)

Iteration 35:  log likelihood = -155780.42  (not concave)

Iteration 36:  log likelihood = -155780.42  (not concave)

Iteration 37:  log likelihood = -155780.42  (not concave)

Iteration 38:  log likelihood = -155780.42  (not concave)

Iteration 39:  log likelihood = -155780.42  (not concave)

Iteration 40:  log likelihood = -155780.42  (not concave)

convergence not achieved

 

Poisson regression                                Number of obs   =        512

                                                  LR chi2(223)    = 2493255.73

                                                  Prob > chi2     =     0.0000

Log likelihood = -155780.42                       Pseudo R2       =     0.8889

 

------------------------------------------------------------------------------

       count |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]

-------------+----------------------------------------------------------------

        _x_1 |    6.73944   .5777206    11.67   0.000     5.607128    7.871751

        _x_2 |   6.557828   .5777886    11.35   0.000     5.425383    7.690273

        _x_3 |   8.580834   .5774333    14.86   0.000     7.449086    9.712583

        _x_4 |   .6736566   .8543854     0.79   0.430    -1.000908    2.348221

        _x_5 |   1.434319   .9593896     1.50   0.135    -.4460503    3.314688

        _x_6 |   .1999571    1.56285     0.13   0.898    -2.863172    3.263086

        _x_7 |  -1.410099   .6908131    -2.04   0.041    -2.764068   -.0561305

        _x_8 |  -2.812962   .6924395    -4.06   0.000    -4.170119   -1.455806

        _x_9 |  -3.075823   1.165956    -2.64   0.008    -5.361055   -.7905908

       _x_10 |  -1.002165   .6907685    -1.45   0.147    -2.356047    .3517158

       _x_11 |  -2.497116   .6922407    -3.61   0.000    -3.853882   -1.140349

       _x_12 |  -2.568789   1.162932    -2.21   0.027    -4.848093    -.289485

       _x_13 |  -.8567484   .6901173    -1.24   0.214    -2.209353    .4958565

       _x_14 |  -2.501941   .6903992    -3.62   0.000    -3.855099   -1.148784

       _x_15 |  -2.304137   1.155578    -1.99   0.046    -4.569028   -.0392452

       _x_16 |   1.158021     .80964     1.43   0.153    -.4288443    2.744886

       _x_17 |  -12.74245   275.0719    -0.05   0.963    -551.8734    526.3885

       _x_18 |   1.541239   1.332498     1.16   0.247    -1.070409    4.152886

       _x_19 |  -1.742181   .6591217    -2.64   0.008    -3.034036   -.4503263

       _x_20 |   10.11137   275.0699     0.04   0.971    -529.0157    549.2384

       _x_21 |   -3.18427   1.167109    -2.73   0.006    -5.471761   -.8967791

       _x_22 |  -1.143015   .6590063    -1.73   0.083    -2.434644    .1486132

       _x_23 |   11.10915   275.0699     0.04   0.968    -528.0179    550.2362

       _x_24 |  -2.175979   1.160237    -1.88   0.061    -4.450001     .098044

       _x_25 |   -1.09283   .6583994    -1.66   0.097    -2.383269     .197609

       _x_26 |    10.4994   275.0699     0.04   0.970    -528.6276    549.6264

       _x_27 |  -2.654085   1.155814    -2.30   0.022    -4.919438   -.3887311

       _x_28 |   1.930809   .9844192     1.96   0.050      .001383    3.860235

       _x_29 |   15.64376   275.0725     0.06   0.955    -523.4885     554.776

       _x_30 |   -.703926   1.566527    -0.45   0.653    -3.774262     2.36641

       _x_31 |   1.219002   1.085463     1.12   0.261    -.9084671    3.346472

       _x_32 |   16.61478   275.0728     0.06   0.952     -522.518    555.7475

       _x_33 |   1.812701   1.518033     1.19   0.232     -1.16259    4.787992

       _x_34 |   1.151764   1.678463     0.69   0.493    -2.137963    4.441491

       _x_35 |   17.73444   275.0756     0.06   0.949    -521.4038    556.8726

       _x_36 |   4.670335   1.945946     2.40   0.016     .8563511    8.484319

       _x_37 |   .4775152   .7710888     0.62   0.536    -1.033791    1.988821

       _x_38 |  -12.11646   275.0702    -0.04   0.965    -551.2441    527.0112

       _x_39 |   .9122575   1.329514     0.69   0.493    -1.693543    3.518058

       _x_40 |   1.273589   .7784215     1.64   0.102    -.2520888    2.799267

       _x_41 |  -11.53621   275.0702    -0.04   0.967    -550.6638    527.5914

       _x_42 |   1.225735   1.242363     0.99   0.324    -1.209252    3.660722

       _x_43 |    .671465   1.231545     0.55   0.586    -1.742319    3.085249

       _x_44 |  -12.15004   275.0718    -0.04   0.965    -551.2808    526.9807

       _x_45 |   .5949856   1.548382     0.38   0.701    -2.439787    3.629758

       _x_46 |   .3338527    .770809     0.43   0.665    -1.176905    1.844611

       _x_47 |  -12.28881   275.0702    -0.04   0.964    -551.4165    526.8389

       _x_48 |   1.282356   1.319877     0.97   0.331    -1.304555    3.869267

       _x_49 |   1.019499   .7779038     1.31   0.190    -.5051643    2.544162

       _x_50 |  -11.86524   275.0701    -0.04   0.966    -550.9928    527.2623

       _x_51 |   1.193399   1.234582     0.97   0.334    -1.226336    3.613134

       _x_52 |   .1782504   1.228026     0.15   0.885    -2.228637    2.585138

       _x_53 |   -12.6792   275.0717    -0.05   0.963    -551.8099    526.4515

       _x_54 |   .2473091     1.5404     0.16   0.872    -2.771818    3.266437

       _x_55 |   .5782794   .7698883     0.75   0.453     -.930674    2.087233

       _x_56 |  -11.69552   275.0702    -0.04   0.966    -550.8232    527.4321

       _x_57 |   1.888932   1.314997     1.44   0.151    -.6884142    4.466278

       _x_58 |   1.555897   .7757238     2.01   0.045     .0355065    3.076288

       _x_59 |  -10.89788   275.0701    -0.04   0.968    -550.0254    528.2297

       _x_60 |   2.146947   1.229021     1.75   0.081      -.26189    4.555783

       _x_61 |   1.078131   1.219899     0.88   0.377    -1.312827    3.469089

       _x_62 |  -11.21938   275.0717    -0.04   0.967      -550.35    527.9113

       _x_63 |   1.677639   1.531361     1.10   0.273    -1.323774    4.679052

       _x_64 |   .2959536   .9455909     0.31   0.754     -1.55737    2.149278

       _x_65 |  -1.155341   .7646003    -1.51   0.131     -2.65393    .3432477

       _x_66 |  -1.311141    .764898    -1.71   0.087    -2.810314    .1880313

       _x_67 |  -.8030646   .7638373    -1.05   0.293    -2.300158     .694029

       _x_68 |    .090156   1.233941     0.07   0.942    -2.328325    2.508637

       _x_69 |  -1.091078   1.455874    -0.75   0.454    -3.944539    1.762383

       _x_70 |  -25.31476          .        .       .            .           .

       _x_71 |    .310414   .9341474     0.33   0.740    -1.520481    2.141309

       _x_72 |   2.015753   1.110938     1.81   0.070    -.1616448    4.193151

       _x_73 |   12.89176   422.9353     0.03   0.976    -816.0463    841.8298

       _x_74 |   .2269047   .9343273     0.24   0.808    -1.604343    2.058153

       _x_75 |   2.016265   1.111023     1.81   0.070    -.1613012     4.19383

       _x_76 |   13.52448   422.9353     0.03   0.974    -815.4134    842.4624

       _x_77 |    .123614   .9323883     0.13   0.895    -1.703833    1.951061

       _x_78 |   1.950143   1.107576     1.76   0.078    -.2206655    4.120951

       _x_79 |   13.11719   422.9352     0.03   0.975    -815.8206     842.055

       _x_80 |  -2.802183   1.450903    -1.93   0.053      -5.6459    .0415337

       _x_81 |   12.36961   275.0748     0.04   0.964    -526.7671    551.5063

       _x_82 |   -23.4526   1.172079   -20.01   0.000    -25.74984   -21.15537

       _x_83 |   2.137327   1.089376     1.96   0.050     .0021906    4.272464

       _x_84 |  -9.909048   275.0721    -0.04   0.971    -549.0405    529.2224

       _x_85 |   11.80243   175.0192     0.07   0.946    -331.2288    354.8337

       _x_86 |   1.727103   1.089572     1.59   0.113    -.4084183    3.862624

       _x_87 |  -10.31844   275.0721    -0.04   0.970    -549.4499     528.813

       _x_88 |   11.73769   175.0191     0.07   0.947    -331.2934    354.7688

       _x_89 |   1.862171   1.088019     1.71   0.087     -.270306    3.994649

       _x_90 |  -9.932906   275.0721    -0.04   0.971    -549.0644    529.1986

       _x_91 |   11.96198    175.019     0.07   0.946    -331.0689    354.9929

       _x_92 |   .3138928   1.696602     0.19   0.853    -3.011386    3.639172

       _x_93 |   15.97719   16.55068     0.97   0.334    -16.46154    48.41593

       _x_94 |   1.721134   1.881408     0.91   0.360    -1.966358    5.408626

       _x_95 |  -13.15124   275.0772    -0.05   0.962    -552.2926    525.9901

       _x_96 |   23.12217          .        .       .            .           .

       _x_97 |    27.1848   1.348626    20.16   0.000     24.54154    29.82806

       _x_98 |   10.87482   275.0734     0.04   0.968    -528.2592    550.0088

       _x_99 |   47.96806   1.516776    31.63   0.000     44.99524    50.94089

      _x_100 |  -.5039476   1.250366    -0.40   0.687    -2.954621    1.946726

      _x_101 |   11.61002   275.0729     0.04   0.966    -527.5229     550.743

      _x_102 |  -4.054797   175.7942    -0.02   0.982    -348.6051    340.4955

      _x_103 |   -2.62022   1.387784    -1.89   0.059    -5.340226    .0997871

      _x_104 |   9.964389   275.0734     0.04   0.971    -529.1695    549.0983

      _x_105 |  -11.99563   175.0192    -0.07   0.945     -355.027    331.0357

      _x_106 |  -14.40123   422.9363    -0.03   0.973    -843.3411    814.5386

      _x_107 |  -.8752997   504.5181    -0.00   0.999    -989.7126     987.962

      _x_108 |  -23.36513   457.7184    -0.05   0.959    -920.4766    873.7464

      _x_109 |   -.077235   1.250352    -0.06   0.951     -2.52788     2.37341

      _x_110 |   11.84635   275.0729     0.04   0.966    -527.2866    550.9793

      _x_111 |   -4.30948   175.7941    -0.02   0.980    -348.8595    340.2405

      _x_112 |  -2.257531   1.387617    -1.63   0.104     -4.97721    .4621482

      _x_113 |   10.20745   275.0734     0.04   0.970    -528.9265    549.3414

      _x_114 |  -12.10314   175.0191    -0.07   0.945    -355.1343     330.928

      _x_115 |  -14.52725   422.9362    -0.03   0.973     -843.467    814.4125

      _x_116 |  -1.366681    504.518    -0.00   0.998    -990.2039    987.4705

      _x_117 |  -24.30564   457.7183    -0.05   0.958     -921.417    872.8057

      _x_118 |  -.4321752   1.248016    -0.35   0.729    -2.878241     2.01389

      _x_119 |   11.41878   275.0729     0.04   0.967    -527.7141    550.5517

      _x_120 |  -4.498391   175.7939    -0.03   0.980    -349.0482    340.0514

      _x_121 |   -2.64816   1.383712    -1.91   0.056    -5.360186     .063866

      _x_122 |   9.558172   275.0734     0.03   0.972    -529.5757    548.6921

      _x_123 |  -12.58291    175.019    -0.07   0.943    -355.6138     330.448

      _x_124 |  -14.63387   422.9361    -0.03   0.972    -843.5734    814.3057

      _x_125 |  -1.640346    504.518    -0.00   0.997    -990.4774    987.1967

      _x_126 |  -24.14334   457.7182    -0.05   0.958    -921.2545    872.9678

      _x_127 |   5.572932   .3339546    16.69   0.000     4.918393    6.227471

      _x_128 |    5.43511    .334048    16.27   0.000     4.780388    6.089832

      _x_129 |   7.495105   .3334146    22.48   0.000     6.841624    8.148585

      _x_130 |  -.5466211   .4726444    -1.16   0.247    -1.472987     .379745

      _x_131 |  -.0510632   1.056377    -0.05   0.961    -2.121525    2.019398

      _x_132 |  -3.087925   .6875084    -4.49   0.000    -4.435416   -1.740433

      _x_133 |   .0645723   .4724194     0.14   0.891    -.8613527    .9904972

      _x_134 |   .9738265   1.055293     0.92   0.356    -1.094509    3.042162

      _x_135 |  -2.164175   .6764692    -3.20   0.001    -3.490031   -.8383199

      _x_136 |   .1071475    .471549     0.23   0.820    -.8170716    1.031367

      _x_137 |   .3666443   1.054494     0.35   0.728    -1.700126    2.433415

      _x_138 |  -2.672041   .6687381    -4.00   0.000    -3.982743   -1.361338

      _x_139 |  -.2500678   .5050335    -0.50   0.620    -1.239915    .7397796

      _x_140 |  -.8249688   .6691735    -1.23   0.218    -2.136525    .4865872

      _x_141 |  -2.017957   1.067579    -1.89   0.059    -4.110374    .0744603

      _x_142 |   .0798997   .5049746     0.16   0.874    -.9098324    1.069632

      _x_143 |  -.5986912   .6690373    -0.89   0.371     -1.90998    .7125977

      _x_144 |   -1.39243   1.062431    -1.31   0.190    -3.474757     .689897

      _x_145 |    .234673    .504048     0.47   0.642    -.7532429    1.222589

      _x_146 |  -.5557142   .6669825    -0.83   0.405    -1.862976    .7515474

      _x_147 |  -1.216953   1.054832    -1.15   0.249    -3.284385    .8504786

      _x_148 |  -1.061259   .6154973    -1.72   0.085    -2.267611     .145094

      _x_149 |  -.9349294   .7630389    -1.23   0.220    -2.430458    .5605993

      _x_150 |   .4468531   1.168848     0.38   0.702    -1.844047    2.737753

      _x_151 |  -2.253357   1.134819    -1.99   0.047    -4.477561   -.0291525

      _x_152 |  -2.234984   1.210179    -1.85   0.065    -4.606891    .1369232

      _x_153 |  -1.764794   1.470449    -1.20   0.230     -4.64682    1.117233

      _x_154 |   .2736251   .8778975     0.31   0.755    -1.447022    1.994273

      _x_155 |  -.0770418    .913858    -0.08   0.933     -1.86817    1.714087

      _x_156 |   .3002043    1.22863     0.24   0.807    -2.107866    2.708275

      _x_157 |  -1.205586   .6151144    -1.96   0.050    -2.411188    .0000161

      _x_158 |  -1.158684   .7625333    -1.52   0.129    -2.653222    .3358539

      _x_159 |  -.4212113   1.163719    -0.36   0.717    -2.702059    1.859637

      _x_160 |  -2.455793   1.133384    -2.17   0.030    -4.677185   -.2344008

      _x_161 |  -2.591825   1.208918    -2.14   0.032    -4.961261   -.2223882

      _x_162 |  -2.661472   1.465489    -1.82   0.069    -5.533778    .2108348

      _x_163 |   .7268306   .8638973     0.84   0.400     -.966377    2.420038

      _x_164 |   .0003969   .9038096     0.00   1.000    -1.771037    1.771831

      _x_165 |  -.0395532   1.217227    -0.03   0.974    -2.425274    2.346167

      _x_166 |  -.9684716   .6139198    -1.58   0.115    -2.171732     .234789

      _x_167 |  -.6383061   .7601536    -0.84   0.401     -2.12818    .8515676

      _x_168 |   .6249562   1.155451     0.54   0.589    -1.639687    2.889599

      _x_169 |  -1.881275   1.132227    -1.66   0.097    -4.100399    .3378493

      _x_170 |  -1.668976   1.207088    -1.38   0.167    -4.034826    .6968735

      _x_171 |  -1.104314   1.459078    -0.76   0.449    -3.964054    1.755425

      _x_172 |   1.342173   .8562841     1.57   0.117     -.336113    3.020459

      _x_173 |   .9439084   .8959723     1.05   0.292    -.8121651    2.699982

      _x_174 |   1.500193   1.206096     1.24   0.214    -.8637124    3.864098

      _x_175 |  -.2387882    .558917    -0.43   0.669    -1.334245    .8566689

      _x_176 |  -.4506401   .5593337    -0.81   0.420    -1.546914    .6456339

      _x_177 |   .0651994    .557824     0.12   0.907    -1.028115    1.158514

      _x_178 |   1.106452   .9619868     1.15   0.250    -.7790075    2.991911

      _x_179 |  -1.380936   1.219368    -1.13   0.257    -3.770853     1.00898

      _x_180 |   11.66576   175.0192     0.07   0.947    -331.3656    354.6971

      _x_181 |   .7312732   .9621722     0.76   0.447     -1.15455    2.617096

      _x_182 |  -1.741071    1.21822    -1.43   0.153    -4.128739    .6465968

      _x_183 |    11.9855   175.0191     0.07   0.945    -331.0456    355.0166

      _x_184 |   .8882458   .9603348     0.92   0.355    -.9939758    2.770467

      _x_185 |  -1.365276   1.216097    -1.12   0.262    -3.748781    1.018229

      _x_186 |   12.20869    175.019     0.07   0.944    -330.8222    355.2396

      _x_187 |  -.2585625   .8109299    -0.32   0.750    -1.847956    1.330831

      _x_188 |  -.3697929   .9501005    -0.39   0.697    -2.231956     1.49237

      _x_189 |   12.60409   422.9353     0.03   0.976    -816.3339     841.542

      _x_190 |  -.3207731   .8112266    -0.40   0.693    -1.910748    1.269202

      _x_191 |  -.3965707   .9505566    -0.42   0.677    -2.259627    1.466486

      _x_192 |   12.44602   422.9353     0.03   0.977    -816.4919    841.3839

      _x_193 |   -.409466   .8088705    -0.51   0.613    -1.994823    1.175891

      _x_194 |  -.4687637   .9461933    -0.50   0.620    -2.323269    1.385741

      _x_195 |   12.12572   422.9352     0.03   0.977    -816.8121    841.0635

      _x_196 |  -14.14741   275.0763    -0.05   0.959    -553.2871    524.9922

      _x_197 |   .1072744   1.152625     0.09   0.926    -2.151829    2.366378

      _x_198 |   .5330049   1.280488     0.42   0.677    -1.976706    3.042716

      _x_199 |  -13.60659   422.9366    -0.03   0.974     -842.547    815.3338

      _x_200 |   2.625665   1.382599     1.90   0.058    -.0841799     5.33551

      _x_201 |   3.152958   1.454585     2.17   0.030     .3020239    6.003891

      _x_202 |  -10.02711   422.9368    -0.02   0.981    -838.9679    818.9137

      _x_203 |   -10.8558   175.0212    -0.06   0.951    -353.8911    332.1795

      _x_204 |   -10.4474   175.0192    -0.06   0.952    -353.4788     332.584

      _x_205 |   -23.5568   457.7186    -0.05   0.959    -920.6687    873.5552

      _x_206 |   .4775916   1.152653     0.41   0.679    -1.781566     2.73675

      _x_207 |   .8745539   1.280564     0.68   0.495    -1.635305    3.384413

      _x_208 |  -12.91604   422.9365    -0.03   0.976    -841.8564    816.0243

      _x_209 |   2.839332   1.381101     2.06   0.040     .1324245     5.54624

      _x_210 |   3.400683   1.453506     2.34   0.019     .5518643    6.249502

      _x_211 |  -9.930718   422.9367    -0.02   0.981    -838.8715      819.01

      _x_212 |  -11.51233    175.021    -0.07   0.948    -354.5473    331.5226

      _x_213 |  -10.78564   175.0191    -0.06   0.951    -353.8168    332.2455

      _x_214 |   -24.3889   457.7185    -0.05   0.958    -921.5007    872.7229

      _x_215 |   .0974774   1.149985     0.08   0.932    -2.156452    2.351407

      _x_216 |   .4856606   1.276007     0.38   0.703    -2.015268    2.986589

      _x_217 |  -13.18687   422.9365    -0.03   0.975    -842.1271    815.7534

      _x_218 |   2.399228   1.378087     1.74   0.082    -.3017737     5.10023

      _x_219 |   2.774459   1.449166     1.91   0.056    -.0658548    5.614773

      _x_220 |  -10.26621   422.9367    -0.02   0.981    -839.2068    818.6744

      _x_221 |  -11.73658   175.0209    -0.07   0.947    -354.7713    331.2981

      _x_222 |  -11.24034    175.019    -0.06   0.949    -354.2712    331.7906

      _x_223 |  -24.31107   457.7184    -0.05   0.958    -921.4227    872.8006

       _cons |  -6.638992   .6666491    -9.96   0.000      -7.9456   -5.332383

------------------------------------------------------------------------------

-------------------------------------------------------------------------------

   Poisson regression

-------------------------------------------------------------------------------

   Dependent variable                                                    count

   Optimization:                                                            ml

   Number of observations:                                                 512

   Initial log likelihood:                                        -1402408.286

   Log likelihood:                                                 -155780.421

   LR chi square:                                                  2493255.731

   Model degrees of freedom:                                               223

   Pseudo R-squared:                                                     0.889

   Prob:                                                                 0.000

-------------------------------------------------------------------------------

nr Effect                                                    Coeff        s.e.

-------------------------------------------------------------------------------

   count

     mfulleth

1      Hisp                                                  6.739**     0.578

2      black                                                 6.558**     0.578

3      white                                                 8.581**     0.577

     med4

4      2                                                     0.674       0.854

5      3                                                     1.434       0.959

6      4                                                     0.200       1.563

     mfulleth.med4

7      Hisp.2                                               -1.410*      0.691

8      Hisp.3                                               -2.813**     0.692

9      Hisp.4                                               -3.076**     1.166

10     black.2                                              -1.002       0.691

11     black.3                                              -2.497**     0.692

12     black.4                                              -2.569*      1.163

13     white.2                                              -0.857       0.690

14     white.3                                              -2.502**     0.690

15     white.4                                              -2.304*      1.156

     fed4

16     2                                                     1.158       0.810

17     3                                                   -12.742     275.072

18     4                                                     1.541       1.332

     mfulleth.fed4

19     Hisp.2                                               -1.742**     0.659

20     Hisp.3                                               10.111     275.070

21     Hisp.4                                               -3.184**     1.167

22     black.2                                              -1.143       0.659

23     black.3                                              11.109     275.070

24     black.4                                              -2.176       1.160

25     white.2                                              -1.093       0.658

26     white.3                                              10.499     275.070

27     white.4                                              -2.654*      1.156

     med4.fed4

28     2.2                                                   1.931*      0.984

29     2.3                                                  15.644     275.073

30     2.4                                                  -0.704       1.567

31     3.2                                                   1.219       1.085

32     3.3                                                  16.615     275.073

33     3.4                                                   1.813       1.518

34     4.2                                                   1.152       1.678

35     4.3                                                  17.734     275.076

36     4.4                                                   4.670*      1.946

     mfulleth.med4.fed4

37     Hisp.2.2                                              0.478       0.771

38     Hisp.2.3                                            -12.116     275.070

39     Hisp.2.4                                              0.912       1.330

40     Hisp.3.2                                              1.274       0.778

41     Hisp.3.3                                            -11.536     275.070

42     Hisp.3.4                                              1.226       1.242

43     Hisp.4.2                                              0.671       1.232

44     Hisp.4.3                                            -12.150     275.072

45     Hisp.4.4                                              0.595       1.548

46     black.2.2                                             0.334       0.771

47     black.2.3                                           -12.289     275.070

48     black.2.4                                             1.282       1.320

49     black.3.2                                             1.019       0.778

50     black.3.3                                           -11.865     275.070

51     black.3.4                                             1.193       1.235

52     black.4.2                                             0.178       1.228

53     black.4.3                                           -12.679     275.072

54     black.4.4                                             0.247       1.540

55     white.2.2                                             0.578       0.770

56     white.2.3                                           -11.696     275.070

57     white.2.4                                             1.889       1.315

58     white.3.2                                             1.556*      0.776

59     white.3.3                                           -10.898     275.070

60     white.3.4                                             2.147       1.229

61     white.4.2                                             1.078       1.220

62     white.4.3                                           -11.219     275.072

63     white.4.4                                             1.678       1.531

     year

64     90                                                    0.296       0.946

     mfulleth.year

65     Hisp.90                                              -1.155       0.765

66     black.90                                             -1.311       0.765

67     white.90                                             -0.803       0.764

     med4.year

68     2.90                                                  0.090       1.234

69     3.90                                                 -1.091       1.456

70     4.90                                                -25.315           .

     mfulleth.med4.year

71     Hisp.2.90                                             0.310       0.934

72     Hisp.3.90                                             2.016       1.111

73     Hisp.4.90                                            12.892     422.935

74     black.2.90                                            0.227       0.934

75     black.3.90                                            2.016       1.111

76     black.4.90                                           13.524     422.935

77     white.2.90                                            0.124       0.932

78     white.3.90                                            1.950       1.108

79     white.4.90                                           13.117     422.935

     fed4.year

80     2.90                                                 -2.802       1.451

81     3.90                                                 12.370     275.075

82     4.90                                                -23.453**     1.172

     mfulleth.fed4.year

83     Hisp.2.90                                             2.137*      1.089

84     Hisp.3.90                                            -9.909     275.072

85     Hisp.4.90                                            11.802     175.019

86     black.2.90                                            1.727       1.090

87     black.3.90                                          -10.318     275.072

88     black.4.90                                           11.738     175.019

89     white.2.90                                            1.862       1.088

90     white.3.90                                           -9.933     275.072

91     white.4.90                                           11.962     175.019

     med4.fed4.year

92     2.2.90                                                0.314       1.697

93     2.4.90                                               15.977      16.551

94     3.2.90                                                1.721       1.881

95     3.3.90                                              -13.151     275.077

96     3.4.90                                               23.122           .

97     4.2.90                                               27.185**     1.349

98     4.3.90                                               10.875     275.073

99     4.4.90                                               47.968**     1.517

     mfulleth.med4.fed4.year

100    Hisp.2.2.90                                          -0.504       1.250

101    Hisp.2.3.90                                          11.610     275.073

102    Hisp.2.4.90                                          -4.055     175.794

103    Hisp.3.2.90                                          -2.620       1.388

104    Hisp.3.3.90                                           9.964     275.073

105    Hisp.3.4.90                                         -11.996     175.019

106    Hisp.4.2.90                                         -14.401     422.936

107    Hisp.4.3.90                                          -0.875     504.518

108    Hisp.4.4.90                                         -23.365     457.718

109    black.2.2.90                                         -0.077       1.250

110    black.2.3.90                                         11.846     275.073

111    black.2.4.90                                         -4.309     175.794

112    black.3.2.90                                         -2.258       1.388

113    black.3.3.90                                         10.207     275.073

114    black.3.4.90                                        -12.103     175.019

115    black.4.2.90                                        -14.527     422.936

116    black.4.3.90                                         -1.367     504.518

117    black.4.4.90                                        -24.306     457.718

118    white.2.2.90                                         -0.432       1.248

119    white.2.3.90                                         11.419     275.073

120    white.2.4.90                                         -4.498     175.794

121    white.3.2.90                                         -2.648       1.384

122    white.3.3.90                                          9.558     275.073

123    white.3.4.90                                        -12.583     175.019

124    white.4.2.90                                        -14.634     422.936

125    white.4.3.90                                         -1.640     504.518

126    white.4.4.90                                        -24.143     457.718

     ffulleth

127    Hisp                                                  5.573**     0.334

128    black                                                 5.435**     0.334

129    white                                                 7.495**     0.333

     ffulleth.fed4

130    Hisp.2                                               -0.547       0.473

131    Hisp.3                                               -0.051       1.056

132    Hisp.4                                               -3.088**     0.688

133    black.2                                               0.065       0.472

134    black.3                                               0.974       1.055

135    black.4                                              -2.164**     0.676

136    white.2                                               0.107       0.472

137    white.3                                               0.367       1.054

138    white.4                                              -2.672**     0.669

     ffulleth.med4

139    Hisp.2                                               -0.250       0.505

140    Hisp.3                                               -0.825       0.669

141    Hisp.4                                               -2.018       1.068

142    black.2                                               0.080       0.505

143    black.3                                              -0.599       0.669

144    black.4                                              -1.392       1.062

145    white.2                                               0.235       0.504

146    white.3                                              -0.556       0.667

147    white.4                                              -1.217       1.055

     ffulleth.fed4.med4

148    Hisp.2.2                                             -1.061       0.615

149    Hisp.2.3                                             -0.935       0.763

150    Hisp.2.4                                              0.447       1.169

151    Hisp.3.2                                             -2.253*      1.135

152    Hisp.3.3                                             -2.235       1.210

153    Hisp.3.4                                             -1.765       1.470

154    Hisp.4.2                                              0.274       0.878

155    Hisp.4.3                                             -0.077       0.914

156    Hisp.4.4                                              0.300       1.229

157    black.2.2                                            -1.206       0.615

158    black.2.3                                            -1.159       0.763

159    black.2.4                                            -0.421       1.164

160    black.3.2                                            -2.456*      1.133

161    black.3.3                                            -2.592*      1.209

162    black.3.4                                            -2.661       1.465

163    black.4.2                                             0.727       0.864

164    black.4.3                                             0.000       0.904

165    black.4.4                                            -0.040       1.217

166    white.2.2                                            -0.968       0.614

167    white.2.3                                            -0.638       0.760

168    white.2.4                                             0.625       1.155

169    white.3.2                                            -1.881       1.132

170    white.3.3                                            -1.669       1.207

171    white.3.4                                            -1.104       1.459

172    white.4.2                                             1.342       0.856

173    white.4.3                                             0.944       0.896

174    white.4.4                                             1.500       1.206

     ffulleth.year

175    Hisp.90                                              -0.239       0.559

176    black.90                                             -0.451       0.559

177    white.90                                              0.065       0.558

     ffulleth.fed4.year

178    Hisp.2.90                                             1.106       0.962

179    Hisp.3.90                                            -1.381       1.219

180    Hisp.4.90                                            11.666     175.019

181    black.2.90                                            0.731       0.962

182    black.3.90                                           -1.741       1.218

183    black.4.90                                           11.986     175.019

184    white.2.90                                            0.888       0.960

185    white.3.90                                           -1.365       1.216

186    white.4.90                                           12.209     175.019

     ffulleth.med4.year

187    Hisp.2.90                                            -0.259       0.811

188    Hisp.3.90                                            -0.370       0.950

189    Hisp.4.90                                            12.604     422.935

190    black.2.90                                           -0.321       0.811

191    black.3.90                                           -0.397       0.951

192    black.4.90                                           12.446     422.935

193    white.2.90                                           -0.409       0.809

194    white.3.90                                           -0.469       0.946

195    white.4.90                                           12.126     422.935

     fed4.med4.year

196    3.2.90                                              -14.147     275.076

     ffulleth.fed4.med4.year

197    Hisp.2.2.90                                           0.107       1.153

198    Hisp.2.3.90                                           0.533       1.280

199    Hisp.2.4.90                                         -13.607     422.937

200    Hisp.3.2.90                                           2.626       1.383

201    Hisp.3.3.90                                           3.153*      1.455

202    Hisp.3.4.90                                         -10.027     422.937

203    Hisp.4.2.90                                         -10.856     175.021

204    Hisp.4.3.90                                         -10.447     175.019

205    Hisp.4.4.90                                         -23.557     457.719

206    black.2.2.90                                          0.478       1.153

207    black.2.3.90                                          0.875       1.281

208    black.2.4.90                                        -12.916     422.937

209    black.3.2.90                                          2.839*      1.381

210    black.3.3.90                                          3.401*      1.454

211    black.3.4.90                                         -9.931     422.937

212    black.4.2.90                                        -11.512     175.021

213    black.4.3.90                                        -10.786     175.019

214    black.4.4.90                                        -24.389     457.719

215    white.2.2.90                                          0.097       1.150

216    white.2.3.90                                          0.486       1.276

217    white.2.4.90                                        -13.187     422.936

218    white.3.2.90                                          2.399       1.378

219    white.3.3.90                                          2.774       1.449

220    white.3.4.90                                        -10.266     422.937

221    white.4.2.90                                        -11.737     175.021

222    white.4.3.90                                        -11.240     175.019

223    white.4.4.90                                        -24.311     457.718

224  _cons                                                  -6.639**     0.667

-------------------------------------------------------------------------------

*  p < .05

** p < .01

 

. *signs of trouble here include Huge standard errors and large coefficients. What that means is that we have asked for answers in places where there simply

is not enough data to provide an answer.

. exit, clear