This paper develops linear estimators for structural and causal parameters in nonparametric,nonseparable models using panel data. These models incorporate unobserved, time-varying, individual heterogeneity, which may be correlated with the regressors. Estimation is based on an approximation of...

This survey discusses the recent causal panel data literature. This recent literature has focused on credibly estimating causal effects of binary interventions in settings with longitudinal data, with an emphasis on practical advice for empirical researchers. It pays particular attention to...

We study identification in a binary choice panel data model with a single predetermined binary covariate (i.e., a covariate sequentially exogenous conditional on lagged outcomes and covariates). The choice model is indexed by a scalar parameter θ, whereas the distribution of unit-specific...

Environmental policy is increasingly concerned with measuring emissions resulting from local changes to electricity consumption. These marginal emissions are challenging to measure because electricity grids encompass multiple locations and the information available to identify the effect of each...

We propose a method to correct estimates from historical linked data for bias arising from type-I error--"false matches." We estimate the rate of false matching from the disagreement rate in characteristics that should agree across the two linked datasets. Combined with an understanding of the...

We study the implications of police discretion for public safety. Highway patrol officers exercise discretion over fines by deviating from statutory fine rules. Relying on variation across officers in this discretionary behavior, we find that harsher sanctions reduce future traffic offending and...

I examine teacher preferences using a discrete-choice experiment, which I link to administrative data on teacher effectiveness. I estimate willingness-to-pay for a rich set of compensation elements and working conditions. Highly effective teachers usually have the same preferences as their...

In recent decades, many states have reduced future retirement benefits for newly hired teachers. We estimate that in 2020 the average initial monthly retirement benefit, for teachers retiring with 30 years of service, is 11.2 percent lower than that of teachers retiring in the same plan with the...

When an employee expects repeated evaluation and performance incentives over time, the potential future rewards create an incentive to invest in building relevant skills. Because new skills benefit job performance, the effects of an evaluation program can persist after the rewards end or even...

Information provision, choice simplification, social messaging, active-choice frameworks, and automatic enrollment all increase retirement savings. However, gauging the relative efficacy of these approaches is challenging because the supporting evidence spans widely different institutional...