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From | Austin Nichols <austinnichols@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Understanding how to use biprobit to control for endogenous dummy |
Date | Fri, 30 Mar 2012 09:51:10 -0400 |
Kevin Infante <kinfante@princeton.edu>: See http://stata.com/meeting/chicago11/materials/chi11_nichols.pdf and always estimate the linear model too, with e.g. -ivreg2- on SSC, to get a sense of instrument strength etc. The linear model is much easier to interpret, most of the time. On Fri, Mar 30, 2012 at 12:13 AM, Kevin Infante <kinfante@princeton.edu> wrote: > Hello statalist, > > I'm an undergraduate senior Economics major. I have a basic > understanding of econometrics > and a basic understanding of Stata. Unfortunately, the models I > apparently need to run demand a more in-depth understanding of both. > Here is one of my regressions: > > y1=a*y2+b*w+u1 (1) > y2=c*z+d*w+u2 (2) > > y1=dummy representing whether a respondent voted > y2= endogenous dummy representing whether a respondent lists Internet news as > their main news source > w=collection of demographic controls, as well as dummies for the year > and state of residence of the respondent > z= a collection of instrument variables > u1=error term of equation (1) > u2= error term of equation (2) > > From all I have read on this list, -biprobit- is the stata command > that is best suited to deal with an endogenous dummy variable in a > discrete choice model. > > I've run my models using biprobit, and successfully gotten output. > The first problem I have is I don't know how to interpret the output. > I gather that rho is important, but I don't know what rho is or what > it measures. The coefficient on rho is -.55, and the SE is .055. I'm > assuming the likelihood-ratio test of rho=0 is also important, which > indicates p>chi2=0.0000. I again have no idea what that means. Lastly, > I'm not sure what coefficients on the variables I should be looking > at. > > From reading different message threads from the archives, I gather I > may need to impose additional restrictions, specifically a coherency > restriction and an exclusions restrictions. Unfortunately, I again > have no idea what those are. I have checked out both Greene(2003) and > Maddala(1983), and read the sections that relate to this analysis, > butI understand very little of it, as the econometrics is much more > advanced than what I've been exposed to. > > If anyone could help explain to me relatively simply how to interpret > the biprobit output, whether I need additional restrictions and why, > and just some of the basic theory behind what I am trying to do, I > would much appreciate it. Also if anyone has any references or sources > that would help me learn about what I'm doing, that would be very > useful. My faculty adviser and the resident Stata expert were both not > able to help me much as both were unfamiliar with the theory and stata > command. Thank you for all your help! > > Best, > Kevin Infante * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/