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From | "Dimitriy V. Masterov" <dvmaster@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: divergent ivpois and gmm results |
Date | Thu, 27 Sep 2012 19:45:28 -0700 |
I am trying to replicate the output of Austin Nichols -ivpois- command with the gmm command so that I can see if robust errors make a difference for my analysis. I found that in simple specifications, ivpois and my gmm command yield virtually identical estimates of the coefficients and their errors, especially if I used the simple non-IV poisson model for the initial values. However, when I added more variables, the estimates began to diverge drastically even where there did not seem to be any problems with the iterations. If I added two or three more variables, my gmm command would get stuck, while ivpois would finish without any issues. I managed to replicate the first problem with one of the three example data sets. The other two seem to work perfectly. Here's my code: #delimit; use http://fmwww.bc.edu/RePEc/bocode/i/ivp_cig.dta, clear; loc x "pcigs79 rest79 income age qage educ qeduc famsize white"; loc z "ageeduc cage ceduc pcigs78 restock";loc y "cigpacks";loc e "k210"; ivpois `y' `x', endog(`e') exog(`z'); /* Get Initial Values From Simple Poisson */ qui poisson `y' `x' `e' if e(sample), nolog; mat b=e(b); gmm (`y' * exp(-{xb: `x' `e'}-{b0})-1), instruments(`x' `z') from(b); For example, the coefficient on white is pretty different across the two models: -.0312757 in ivpois versus -.0902521 with my gmm. If anyone has any idea what I am doing wrong, I would be very grateful. DVM * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/