Budget set kinks are much studied in economics, including in the context of "bunching" estimators that assume individuals react to the true marginal tax rate. We document that individuals disproportionately "left-bunch" below kinks in the context of the Social Security Earnings Test where...

We explore how much borrowers value student debt relief, in the setting of the federal Teacher Loan Forgiveness (TLF) program, and further document whether information and eligibility for this program affect teacher employment decisions. The program cancels between $5,000 and $17,500 in debt for...

We estimate the extensive and intensive margin labor supply response to the monthly Child Tax Credit disbursed in 2021 as a part of the American Rescue Plan Act. Using Current Population Survey microdata, we compare labor supply outcomes among households who qualify for varying relative...

We study habit formation in annual biometric health screenings using a field experiment that randomly assigned financial incentives to 4,799 employees over three years. Completing the first screening raised subsequent screenings by 32.4-36.0 percentage points (84%-90%) annually. Habit formation...

Evaluations of group savings and lending programs have largely focused on average impacts, rather than distributional impacts -- finding modest effects on long-term economic well-being. In this paper, we exploit the randomized roll-out of a self-help group lending program in rural Bihar, India...

We present results from a randomized controlled trial in Bangladesh that introduced operational practices to improve energy efficiency and reduce emissions in 276 "zigzag" brick kilns. 65% of intervention kilns adopted the improved practices. Treatment assignment reduced energy use by 10.3%...

Globally, coercive labor (i.e., forced, bonded, and/or trafficked labor) and child labor are disproportionately prevalent in environments with weak regulatory enforcement and state capacity. Effective strategies for addressing them may therefore need to align with the private incentives of...

The implications of commonly used money earlier or later (MEL) games for intertemporal behavior depend critically upon subjects' choice bracketing. If subjects bracket narrowly, responses reflect preferences independent of subjects' financial environment. Alternatively, if subjects bracket...

We investigate the use of a machine learning (ML) algorithm to identify fraudulent non-existent firms. Using a rich dataset of tax returns over several years in an Indian state, we train an ML-based model to predict fraudulent firms. We then use the model predictions to carry out field...