However, a difference here is that I would like to compare the coefficients off of the endogenous variable across models, where each model comes from a different sample.
It seems like this might be related to how Stata stores estimations that were run, but I don't know how to get around it. I may be setting up the GMM incorrectly too. I'm attaching where (a) the comparison runs ok since I'm not doing any conditioning on a specific sample; (b) the comparison does not run because I am conditioning; and (c) the comparison does not run when I try reshaping the data, as I am told that I have fewer observations than parameters (which I don't think is right; I think this is related to having missing data, since in other datasets that were not this example dataset I was told I could not reach a positive definite matrix. But again I might just be missing something with the GMM command).
Any help would be much appreciated!
Code:
* This works
cls
sysuse auto, clear
ivregress 2sls mpg (turn = weight), robust
ivregress 2sls mpg (turn = length), robust
gmm (eq1: mpg - {b1}*turn - {b0}) ///
(eq2: mpg - {c1}*turn - {c0}), ///
instruments(eq1: weight) ///
instruments(eq2: length) ///
onestep winitial(unadjusted, indep)
test [b1]_cons = [c1]_cons
* This does not work
cls
sysuse auto, clear
ivregress 2sls mpg (turn = weight) if foreign==1, robust
ivregress 2sls mpg (turn = weight) if foreign==0, robust
gmm (eq1: mpg - {b1}*turn - {b0}) ///
(eq2: mpg - {c1}*turn - {c0}), ///
instruments(eq1: weight) ///
instruments(eq2: weight) ///
onestep winitial(unadjusted, indep)
test [b1]_cons = [c1]_cons
* Nor does this
cls
sysuse auto, clear
reshape wide mpg turn weight, i(make) j(foreign)
ivregress 2sls mpg0 (turn0 = weight0), robust
ivregress 2sls mpg1 (turn1 = weight1), robust
gmm (eq1: mpg0 - {b1}*turn0 - {b0}) ///
(eq2: mpg1 - {c1}*turn1 - {c0}), ///
instruments(eq1: weight0) ///
instruments(eq2: weight1) ///
onestep winitial(unadjusted, indep)
test [b1]_cons = [c1]_cons
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