Publications

This paper introduces a framework for selecting policies that maximize expected welfare under estimation uncertainty. The… Continue reading.

Structural estimation in economics often makes use of models formulated in terms of moment conditions. While… Continue reading.

Algorithms are increasingly used to aid with high-stakes decision making. Yet, their predictive ability frequently exhibits… Continue reading.

Many panel data methods, while allowing for general dependence between covariates and time-invariant agent-specific heterogeneity, place… Continue reading.

This paper uses a structural, two-sided model of the education system to study the interactions between… Continue reading.

We develop a new approach to estimating flexible demand models with exogenous supply-side shocks. Our approach… Continue reading.

When estimating the effects of treatments defined by complex formulas, researchers often use simple functions of… Continue reading.

We propose a new model in which relationship-specific supply and demand shocks are non-parametrically identified in… Continue reading.

Sample selection is pervasive in applied economic studies. This paper develops semiparametric selection models that achieve… Continue reading.

Multidimensional heterogeneity and endogeneity are important features of a wide class of econometric models. With control… Continue reading.

A popular approach to perform inference on a target parameter in the presence of nuisance parameters… Continue reading.

Given data on a scalar random variable 𝑌, a prediction set for 𝑌 with miscoverage level… Continue reading.

When evaluating partial effects, it is important to distinguish between structural endogeneity and measurement errors. In… Continue reading.

We develop a practical way of addressing the Errors-In-Variables (EIV) problem in the Generalized Method of… Continue reading.