We formalize an econometric model for two-sided matching mechanisms in a school choice context, where exogenous variation is generated by using lotteries as a tie-breaking mechanism. Our model accommodates a wide range of matching algorithms studied in the theoretical market design literature....

We formalize an econometric model for two-sided matching mechanisms in a school choice context, where identification exploits similarity between students who just qualify for a school and those who just fail to qualify for a school. We discuss estimation and inference of the locally linear...

Randomized controlled trials (RCTs) are routinely used in medicine and are becoming more popular in economics. Data from RCTs are used to learn about treatment effects of interest. This paper studies what one can learn about the average treatment response (ATR) and average treatment effect (ATE)...

We study semiparametric efficiency bounds and efficient estimation of parameters defined through general nonlinear, possibly non-smooth and over-identified moment restrictions, where the sampling information consists of a primary sample and an auxiliary sample. The variables of interest in the...

The estimation of causal effects is a primary goal of behavioral, social, economic and biomedical sciences. Under the unconfounded treatment assignment condition, adjustment for confounders requires estimating the nuisance functions relating outcome and/or treatment to confounders. The...