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...

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...

Efforts to attract and retain effective educators in high poverty public schools have had limited success. Dallas ISD addressed this challenge by using information produced by its evaluation and compensation reforms as the basis for effectiveness-adjusted payments that provided large...

This paper examines the effects of a comprehensive performance pay program for teachers implemented in high-need schools on students' longer-run educational, criminal justice, and economic self-sufficiency outcomes. Using linked administrative data from a Southern state, we leverage the...

A fundamental question for education policy is whether outcomes-based accountability including comprehensive educator evaluations and a closer relationship between effectiveness and compensation improves the quality of instruction and raises achievement. We use synthetic control methods to study...

We conducted a randomized controlled trial involving nearly 700 customer-service representatives (CSRs) in a Canadian government service agency to study whether providing CSRs with performance feedback with or without peer comparison affected their subsequent organ donor registration rates....

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...