Hello everyone,
I have the following system GMM regression where “X1” is time-varying and “X2” is time-invariant and my main interest is the interaction term of “X1*X2.”
I am confused about the sign on interaction term, which is opposite to what I expect based on literature. I performed several different models, even changing the controls, measures, sample and lags but the interaction term only takes the desired sign when I remove the main effect of the time-invariant regressor. Can someone please explain to me what is possibly wrong with my model, or the opposite sign is the TRUE sign (because the sign is consistent even with alternate models)? or is it possible to use the model without the main effect of the time-invariant regressor, would it be a correct model? And what would be the possible explanation in this case?
Note: I have also read a paper published in reputable journal where the authors used system GMM and omitted the main effect of time-invariant regressor (their main focus was also the interaction term) saying that “the country-fixed effects in the equations make the separate inclusion of time-invariant regressor redundant.” However, they showed the country-fixed effects in equations but did not include the country fixed-effects in their GMM models (results show “year fixed effects” in tables but not country fixed effects). I do not understand how they claim "separate inclusion of time-invariant regressor as redundant" when they do not add the country fixed-effects in their GMM models? Can someone also please provide explanation to this?
Thanks in advance
I have the following system GMM regression where “X1” is time-varying and “X2” is time-invariant and my main interest is the interaction term of “X1*X2.”
Code:
xtabond2 Y l.Y X1 X2 X1*X2 CONTROLS, gmm(l.Y, lag(2 2) collapse) iv(X1 X2 X1*X2 CONTROLS, equation(level)) twostep nodiffsargan orthogonal small robust
Note: I have also read a paper published in reputable journal where the authors used system GMM and omitted the main effect of time-invariant regressor (their main focus was also the interaction term) saying that “the country-fixed effects in the equations make the separate inclusion of time-invariant regressor redundant.” However, they showed the country-fixed effects in equations but did not include the country fixed-effects in their GMM models (results show “year fixed effects” in tables but not country fixed effects). I do not understand how they claim "separate inclusion of time-invariant regressor as redundant" when they do not add the country fixed-effects in their GMM models? Can someone also please provide explanation to this?
Thanks in advance
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