Instrumental variable analysis is an approach for obtaining causal inferences on the effect of
an exposure (risk factor) on an outcome from observational data. It has gained in popularity …

Many empirical questions in economics and other social sciences depend on causal effects
of programs or policies. In the last two decades, much research has been done on the …

This paper provides an overview of control function (CF) methods for solving the problem of
endogenous explanatory variables (EEVs) in linear and nonlinear models. CF methods …

We describe the effect of social media advertising content on customer engagement using
data from Facebook. We content-code 106,316 Facebook messages across 782 companies …

Two-year community colleges enroll nearly half of all first-time undergraduates in the United
States, but to ambiguous effect: low persistence rates and the potential for diverting students …

We consider nonparametric identification and estimation in a nonseparable model where a
continuous regressor of interest is a known, deterministic, but kinked function of an observed …

Quantile regression is gradually emerging as a unified statistical methodology for estimating
models of conditional quantile functions. By complementing the exclusive focus of classical …

This paper investigates the relationship between product market competition and innovation.
We find strong evidence of an inverted-U relationship using panel data. We develop a model …

We use a novel retail panel with detailed transaction records to study the effect of the
Supplemental Nutrition Assistance Program (SNAP) on household spending. We use …

We exploit the structure of the Clean Air Act to provide new evidence on the capitalization of
total suspended particulates (TSPs) air pollution into housing values. This legislation …