Simple Endogenous Binary Choice and Selection Panel Model Estimators

This paper provides numerically trivial estimators for short panels of either binary choices or of linear models that suffer from confounded, nonignorable sample selection. The estimators allow for fixed effects, endogenous regressors, lagged dependent variables, and heterokedastic errors with unknown distribution. The estimators, which converge at rate root n, are based on variants of the Honoré and Lewbel (2002) panel binary choice model and Lewbel's (2005) cross section sample selection model.