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From | "Schaffer, Mark E" <M.E.Schaffer@hw.ac.uk> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | st: RE: Testing equality of coefficients using ivregress between a baseline and an expanded model |
Date | Tue, 15 Mar 2011 18:33:56 -0000 |
Eric, > -----Original Message----- > From: owner-statalist@hsphsun2.harvard.edu > [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of > Eric Sjöberg > Sent: 15 March 2011 09:53 > To: statalist@hsphsun2.harvard.edu > Subject: st: Testing equality of coefficients using ivregress > between a baseline and an expanded model > > Dear statalisters, > > I am estimating two regressions using IV > > ivregress 2sls y (x1 = z1), vce(cluster id) > ivregress 2sls y (x1 = z1) x2, vce(cluster id) > > I want to test whether the coefficient belonging to x1 is > statistically different in the two models. Storing the estimates and > using suest cannot be done since ivregress is not compatible with > suest. I read a thread on a related topic where the user wanted to > compare coefficients of the same IVregression but in different > subsamples but I don't see how this method is applicable in my case. > > http://statalist.1588530.n2.nabble.com/test-of-the-equality-of > -coefficients-in-two-models-td5427850.html Stacking still works. You just need to remove the "common coefficients" restriction by interacting the regressors with a dummy defining the equation. The effect is to make your matrix of your regressors block-diagonal. --Mark > I don't know if this matter but the x2 is not a single variable but > rather an additional vector of controls. Any suggestions on how to do > this are most welcome! > > Best > -- > Eric Sjöberg > > * > * 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/ > -- Heriot-Watt University is a Scottish charity registered under charity number SC000278. * * 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/