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From | Arina Viseth <arina@UDel.Edu> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: RE: fractional probit |
Date | Thu, 26 Aug 2010 11:25:07 -0400 (EDT) |
Dear Martin, Austin, Thank you very much for your answers and comments. How should I then apply fmlogit when one explanatory variable is endogeneous - Could you please help? Thank you very much again, Arina ---- Original message ---- >Date: Thu, 26 Aug 2010 10:59:33 -0400 >From: owner-statalist@hsphsun2.harvard.edu (on behalf of Austin Nichols <austinnichols@gmail.com>) >Subject: Re: st: RE: fractional probit >To: statalist@hsphsun2.harvard.edu > >Martin Weiss <martin.weiss1@gmx.de>: > >Or Maarten, really: I think I understand what -fmlogit- is doing now, and >the description as given is a lot better than my reading of it. > >I guess it would be hard to extend this approach to a panel setting >esp. with IV ; >in such cases one seems to be stuck estimating L-1 equations using >Wooldridge's approach separately for all but one of the proportions. > >On Thu, Aug 26, 2010 at 10:39 AM, Austin Nichols ><austinnichols@gmail.com> wrote: >> Martin Weiss <martin.weiss1@gmx.de>: >> >> That says >> "fractional multinomial logit model" >> which is not the same thing-- >> also I do not understand >> "It is a >> multivariate generalization of the fractional logit model" >> --is that supposed to read: >> "It is a generalization of the fractional logit model >> for polychotomous outcome variables" or somesuch? >> >> >> On Thu, Aug 26, 2010 at 3:09 AM, Martin Weiss <martin.weiss1@gmx.de> wrote: >>> >>> <> >>> >>> >>> Maarten has published a command for fractional logit at -ssc d fmlogit-... >>> >>> >>> HTH >>> Martin >>> >>> -----Original Message----- >>> From: owner-statalist@hsphsun2.harvard.edu >>> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Arina Viseth >>> Sent: Donnerstag, 26. August 2010 03:44 >>> To: statalist@hsphsun2.harvard.edu >>> Subject: st: fractional probit >>> >>> Dear Statalist, >>> >>> I am currently trying to apply the fractional probit model, as in Papke and >>> Wooldridge (2008). >>> http://pages.stern.nyu.edu/~wgreene/Econometrics/Papke-Wooldridge-Fractional >>> Response.pdf >>> >>> My understanding is that, in order to control for unobserved heterogeneity, >>> time average of the independent variables are added to the regression, such >>> as for example: >>> >>> Yit = X1it + X2it + X3it + Cit + timeaverageof X1 + timeaverageof X2 >>> >>> with >>> Y dependent variable >>> X1 and X2 endogenous independent variables >>> X3 exogenous independent variable >>> C vector of dummy variables >>> >>> I am looking for the STATA command for the fractional probit, is it the >>> following: glm y x1 x2 c ex1 ex2, family(binomial) link(probit) robust? >>> (with ex1 time average of X1, and ex2, time average of X2) >>> >>> Your comments will be very much appreciated. In advance, thank you very much >>> for your kind help. >>> >>> Arina >> > >* >* 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/ * * 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/