Sociology 388
Homework 1
Due Tuesday, Oct 9, in class.
Late homeworks will generally not be accepted, because I will post answers to my website soon after the homework is due. If you're stuck, email me or the TA. If you still can't figure it out, just do the best you can and don't panic.
General Notes: Feel free to discuss this assignment with other students. Each student must turn in their own work. Answers to the questions should be accompanied by Excel Worksheets and edited Stata logs (by edited, I mean you should remove the wrong turns and just give me the important parts. The Stata log is just a text file, so you can edit it in MS Word or any text editor. Feel free to add comments to the log file).
Important ideas: independence, degrees of freedom, goodness of fit, odds ratio
Consider the 2 datasets from the syllabus:
A) Occupation by


Race 



White 
Non White 
Occupational Class 
Other 
42,012 
7,146 

White Collar 
17,216 
2,361 
and
B) Intermarriage, LA 1990

Wives 




Husbands: 
NH Black 
Mexican 
Other Hisp 
All Others 
NH White 
Non Hisp Black 
4074 
63 
32 
42 
215 
Mexican 
25 
3947 
143 
95 
1009 
Other Hispanic 
16 
132 
239 
18 
304 
All Others 
19 
78 
18 
1022 
360 
Non Hisp White 
103 
1156 
373 
492 
28453 
1) For dataset A, calculate the log odds ratio and the
standard error of the log odds ratio, using Excel (See Agresti P. 2224). Is the log odds ratio significantly different
from zero? What does that mean about the
association between race and occupational class in
2) For dataset A, how is the log odds ratio for nonWhite representation in the White collar sector related to the log odds ratio for White representation in the White collar sector?
3) For BOTH dataset A and B, use excel
to generate the '
4) When non statisticians talk about over representation, and under representation, they frequently talk in terms of observed and expected percentages. Use the 'Independence Model' (see Question 3) to generate expected percentage of nonWhites, and Whites in White Collar jobs. Then divide observed percentage by the expected percentage to get a crude measure of over or underrepresentation. How can you compare the measure for Whites and nonWhites? Can you think of any reasons why this method is less satisfactory than the odds ratio method?
5) Use Stata to generate the "
6) Using Excel and dataset A, find the log odds ratio of
White representation in White Collar jobs, from the predicted values of the
7) Use Stata to generate the 'saturated' model for dataset A, which is simply the "