Hi,
I have to estimate a dynamic model, with individual heterogeneity, and I'm therefore using the system GMM estimator with -Xtabond2-.
Simplified the model looks like:
y= l.y + l.x + l.z + l.p + i.year
My sample can be split into two different groups, so what I would like to do, is to use a dummy variable so I get estimates for each group that are easily comparable. My problem is then, how I should correctly specify the interaction term in -Xtabond2-. I tried estimating it as:
This is with the assumption that l.y is predetermined, the other lagged variables are possibly endogenous and the time dummies and the group dummy are exogenous. I'm not sure if it is correct to write the variables individually or if I should rather specify the whole terms including the dummy? My results seem to be very sensitive to which specification I use. I looked in Roodman's paper on how to use the -xtabond2-, but unfortunately that didn't give me an answer either.
I'm very grateful for any help.
Best,
Sebastian Wang
I have to estimate a dynamic model, with individual heterogeneity, and I'm therefore using the system GMM estimator with -Xtabond2-.
Simplified the model looks like:
y= l.y + l.x + l.z + l.p + i.year
My sample can be split into two different groups, so what I would like to do, is to use a dummy variable so I get estimates for each group that are easily comparable. My problem is then, how I should correctly specify the interaction term in -Xtabond2-. I tried estimating it as:
Code:
y (l.c.y l.c.x l.c.z l.c.p i.year)#dummy, gmm(l.y, lag(1 5) collapse) gmm(l.c.x l.c.z l.c.p, lag(2 5) collapse) iv(i.year dummy) twostep robust
I'm very grateful for any help.
Best,
Sebastian Wang
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