I am trying for the first time to run my difference-in-difference model with inverse propensity score matching. I have an unbalanced longitudinal dataset. So far I was running the below code:
Code:
xtreg logcleanhwtrusi FY2007 FY2008 FY2009 FY2011 FY2012 FY2013 didFY2007 didFY2008 didFY2009 didFY2011 didFY2012 didFY2013, fe
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logcleanhwtrusi
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FY2007 FY2008 FY2009 FY2011 FY2012 FY2013
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didFY2008 didFY2009 didFY2011 didFY2012 didFY2013
and I control for fixed effects.
This way I was getting a result. But now I wanted to use "Regression adjustment with IPW".
So I ran the below code
Code:
teffects ipwra (logcleanhwtrusi FY2007 FY2008 FY2009 FY2011 FY2012 FY2013 didFY2007 didFY2008 didFY2009 didFY2011 didFY2012 didFY2013) (intreatmentgroup cleanedhigh1 cleanesempst hgsex hhtype cleanhstenr)
Code:
note: instrument __000003 omitted because of collinearity Iteration 0: EE criterion = 3.003e-17 (not concave) Iteration 1: EE criterion = 9.017e-18 (not concave) Iteration 2: EE criterion = 1.458e-18 (not concave) Iteration 3: EE criterion = 6.304e-19 (not concave) Iteration 4: EE criterion = 3.107e-19 (not concave) Iteration 5: EE criterion = 2.119e-19 (not concave) Iteration 6: EE criterion = 1.572e-19 (not concave) Iteration 7: EE criterion = 1.152e-19 (not concave) Iteration 8: EE criterion = 9.427e-20 (not concave) Iteration 9: EE criterion = 7.718e-20 (not concave) Iteration 10: EE criterion = 6.520e-20 (not concave) Iteration 11: EE criterion = 5.569e-20 (not concave) Iteration 12: EE criterion = 4.762e-20 (not concave)
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