While most existing research concludes that grade retention generates no benefits for the retainees' academic performance, holding low-achieving children back has been a popular practice for decades. Drawing on a recently collected nationally representative dataset in the US, this paper...

This paper shows identification of a semiparametric binary choice model containing an endogenous regressor, when no outside instrumental variable is available. A simple estimator, an easy test for endogeneity, and an empirical application to US migration data are provided.

This paper provides a few variants of a simple estimator for binary choice models with endogenous or mismeasured regressors, or with heteroskedastic errors. Unlike control function methods, which are generally only valid when endogenous regressors are continuous, the estimators proposed here can...

This paper provides a few variants of a simple estimator for binary choice models with endogenous or mismeasured regressors, or with heteroskedastic errors, or with panel fixed effects. Unlike control function methods, which are generally only valid when endogenous regressors are continuous, the...

I propose a new estimator for cross-section semiparametric regressions containing unobserved binary random effects and apply it to alcohol consumption. The random effects (health consciousness) explain a significant proportion of otherwise unexplained variation in alcohol consumption. Education...

Regression Discontinuity (RD) models identify local treatment effects by associating a discrete change in an outcome with a corresponding discrete change in the probability of treatment at a known threshold of a running variable. This paper shows that it is possible to identify RD model...

This paper proposes a new estimator for cross section semiparametric regressions containing an unobserved binary random effect and applies it to alcohol consumption. The unobserved random effect (health-consciousness) explains a significant proportion of the otherwise unexplained variation in...

Regression Discontinuity (RD) models identify local treatment effects by associating a discrete change in the mean outcome with a corresponding discrete change in the probability of treatment at a known threshold of a running variable. This paper shows that it is possible to identify RD model...

Suppose V and U are two independent mean zero random variables, where V has an asymmetric distribution with two mass points and U has some zero odd moments (having a symmetric distribution suffices). We show that the distributions of V and U are nonparametrically identified just from observing...