Hi,

I have a question about the chow test for comparing coefficients in mixed models.

On this Stata FAQ pages, it talks about the chow test:

"You can include the dummy variables in a regression of the full model and then use the test command on those dummies. You could also run each of the models and then write down the appropriate numbers and calculate the statistic by hand—you also have access to functions to get appropriate p-values."

I am running two growth-curve models by males and females separately using stata mixed procedure. I then use chow test to see if the coefficients for the two mixed models are significantly different by males and females. Can I do the following:

My code:

Code:
mixed cesd3w i.w1noprarg_2c##i.g2 c.ctage1##i.g2 c.ctage1#c.ctage1##i.g2  c.ctage1#c.ctage1#c.ctage1##i.g2
i.w1noprarg_2c#c.ctage1##i.g2  i.w1noprarg_2c#c.ctage1#c.ctage1##i.g2 ///
    b1.w1raceth##i.g2 b2.w1predu_4c##i.g2 b1.w1famst_4c##i.g2 b2.w34phyabuse3##i.g2 ///
b2.w34sexabuse3##i.g2 i.w1sleeprblm##i.g2 c.w1234si_tt##i.g2 ///
    if `f'==1 [pweight=w1wt_fmch3] || aid: ctage1, pweight(schwt1)  ///
pwscale(size) nolog cov(un) mle variance

contrast g2 w1noprarg_2c#g2 g2#c.ctage1  g2#c.ctage1#c.ctage1 g2#c.ctage1#c.ctage1#c.ctage1 ///
w1noprarg_2c#g2#c.ctage1 w1noprarg_2c#g2#c.ctage1#c.ctage1, overall
Thanks,

Alice