Use the data in SLEEP75 for this exercise.

The equation of interest is

(i) Estimate this equation separately for

men and women and report the results in the usual form. Are there notable

differences in the two estimated equations? (ii) Compute the Chow test for

equality of the parameters in the sleep equation for men and women. Use the form

of the test that adds male and the interaction terms male_totwrk, ,

male_yngkid and uses the full set of observations. What are the relevant

df for the test? Should you reject the at the 5% level? (iii) Now, allow

for a different intercept for

Use the data in SLEEP75 for this exercise.

The equation of interest is

(i) Estimate this equation separately for

men and women and report the results in the usual form. Are there notable

differences in the two estimated equations? (ii) Compute the Chow test for

equality of the parameters in the sleep equation for men and women. Use the form

of the test that adds male and the interaction terms male_totwrk, ,

male_yngkid and uses the full set of observations. What are the relevant

df for the test? Should you reject the at the 5% level? (iii) Now, allow

for a different intercept for males and females and determine whether the

interaction terms involving male are jointly significant. (iv) Given the

results from parts (ii) and (iii), what would be your final model?

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