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From | natalie.stata@web.de |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: No valid instruments for system GMM |
Date | Mon, 1 Aug 2011 18:19:28 +0200 (CEST) |
Hi Phil, thank you for your quick response. I estimated the same model with the difference GMM, and the Hansen test passes with laglimits set at 16 and i get much better results. I am very new to the GMM estimator and don't know if this is the right place to ask about this, but what exactly does the GMM-style instrument option laglimits(a b) (mentioned in xtabond2) mean. And what happens if I don't specify it? For example does xtabond2 y l.y x1 x2 x3 x4 x5, robust gmm(l.y x4 x5, lag(16 17)) iv(x1 x2 x3) mean that at maximum yt-1 is instrumented by yt-16 ? I apologize for asking such a question. Best, natalie -----Ursprüngliche Nachricht----- Von: Phil1899@gmx.de Gesendet: Aug 1, 2011 1:58:36 PM An: statalist@hsphsun2.harvard.edu Betreff: Re: st: No valid instruments for system GMM >Hi Natalie, > >have you checked the difference GMM estimator (Arelano-Bond)? It might be that the Hanson test fails because the additional moment restrictions used by the system estimator are rejected. > >Best >Phil > >-------- Original-Nachricht -------- >> Datum: Mon, 1 Aug 2011 13:24:48 +0200 (CEST) >> Von: natalie.stata@web.de >> An: statalist@hsphsun2.harvard.edu >> Betreff: st: No valid instruments for system GMM > >> Dear statalist, >> >> I would like to estimate an agricultural production function using panel >> data of approximately 20,000 individuals over 20 years. Applying system GMM >> - due to unobserved heterogeneity and simultaneity (inputs and output are >> determined together e.g. due to profit-maximizing behaviour of the firm), I >> estimate the following: >> >> xtabond2 y l.y x1 x2 x3 x4 x5, robust gmm(y x4 x5) iv(x1 x2 x3) >> small noconst >> >> where y is output (crop yields), x1-x3 (e.g. weather) are strictly >> exogenous input variables and x4-x5 are endogenous variables (e.g. fertilisers). >> Furthermore, I added a lagged dependent variable on the right-hand side as >> it is highly significant. This specification passes the autocorrelation >> tests, but not the Sargan test of valid instruments. If I, however, specify >> using lag (18 19) (the maximum nr. of lags possible for my dataset) it passes >> the Sargan test at the 5% level, but do not obtain any significant >> estimates, except for the lagged dependent variable: >> >> xtabond2 y l.y x1 x2 x3 x4 x5, lag(18 19) robust gmm(y x4 x5) >> iv(x1 x2 x3) small noconst >> >> Is there any systematic way of finding valid instruments for the system >> GMM? Or is there another estimator that I can use to handle simultaneity >> where I don't need instruments from outside the dataset (I know there is one >> called "opreg" from Olley and Pakes, but I need to specifiy exit of a firm >> which is not included in my data). >> >> I would greatly appreciate any comments on this problem! >> >> Best regards, >> Natalie >> ___________________________________________________________ >> Schon gehört? WEB.DE hat einen genialen Phishing-Filter in die >> Toolbar eingebaut! http://produkte.web.de/go/toolbar >> >> * >> * 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/ > >-- >NEU: FreePhone - 0ct/min Handyspartarif mit Geld-zurück-Garantie! >Jetzt informieren: http://www.gmx.net/de/go/freephone >* >* 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/ ___________________________________________________________ Schon gehört? WEB.DE hat einen genialen Phishing-Filter in die Toolbar eingebaut! http://produkte.web.de/go/toolbar * * 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/