I am working on a probability model by utilising a panel probit regression. One of the independent variables of this model is actually generated by another regression. Specifically, it is the residuals of another regression.
Now I am wondering the outcome of the first regression and the probit regression could be endogenously determined. In this situation, I need to perform propensity score matching, right? Please see the syntax I used:
Code:
. teffects psmatch (MarketLeveraget) (AcquirerStatus LeverageDeficit Size Markettobook Profitability stockre > turn i.Year, probit)
Here is what Stata gave me back:
Code:
Treatment-effects estimation Number of obs = 2,539 Estimator : propensity-score matching Matches: requested = 1 Outcome model : matching min = 1 Treatment model: probit max = 1 -------------------------------------------------------------------------------- | AI Robust MarketLevera~t | Coef. Std. Err. z P>|z| [95% Conf. Interval] ---------------+---------------------------------------------------------------- ATE | AcquirerStatus | (1 vs 0) | -.0270506 .0098036 -2.76 0.006 -.0462653 -.0078358 --------------------------------------------------------------------------------
Many thanks!
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