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  • Panel data GMM - xtabond2 dependent variable as a covariate

    Dear All,

    I am attempting to estimate the relationship between the change in poverty and economic growth. In an attempt to control endogeniety, I am using a two-step GMM procedure through xtabond2.
    However, I am having issues with how to correctly specify the code. I am trying to replicate a paper in the literature - the paper states that "models are estimated using two-step GMM with instruments of lagged log income and difference of logged population. Hence, I ran the following specification:
    Code:
    xtabond2 grlhcountglob grlminc, twostep gmm(L.lminc D.lpop, collapse) small robust
    grlhcountglob - logged difference in poverty headcount
    grlminc - logged difference in mean income
    lpop - logged population

    I am unsure if this is correctly instrumenting for the variables as stated in the literature. Additionally, I am not sure with we have to include the lagged dependent variable in the instrument set/or as a covariate as well to correctly extract an estimate.

    I appreciate any help with this matter,

    Thank you very much.
    Last edited by Karun Advani; 10 Aug 2018, 10:07.
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