I illustrate that the simple regression-adjustment estimator is inconsistent for the average treatment effect when the random effects affecting treatment assignment are correlated with the random effects that affect the potential outcomes. I present a simple parametric estimator that is consistent in this case.
BaltagiB. H.2013. Econometric Analysis of Panel Data. 5th ed. New York: Wiley.
2.
CameronA. C., and TrivediP. K.2005. Microeconometrics: Methods and Applications.New York: Cambridge University Press.
3.
ImbensG. W.2004. Nonparametric estimation of average treatment effects under exogeneity: A review. Review of Economics and Statistics86: 4–29.
4.
ImbensG. W., and RubinD. B.2015. Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction.New York: Cambridge University Press.
5.
ImbensG. W., and WooldridgeJ. M.2009. Recent developments in the econometrics of program evaluation. Journal of Economic Literature47: 5–86.
6.
Rabe-HeskethS., and SkrondalA.2012. Multilevel and Longitudinal Modeling Using Stata. 3rd ed. College Station, TX: Stata Press.
7.
WooldridgeJ. M.2010. Econometric Analysis of Cross Section and Panel Data. 2nd ed. Cambridge, MA: MIT Press.