Regression discontinuity designs (RDD) are widely used in the social sciences to estimate causal effects from observational data. Scholars can choose from a range of methods that implement different RDD estimators, but there is a paucity of research on the performance of these different...

This study examines the uneven effects of air pollution from maritime ports on physical and mental health across racial groups. We exploit quasi-random variation in vessels in port from weather events far out in the ocean to estimate how port traffic influences air pollution and human health. We...

Public spending (i.e., “G”) enables governments to fulfill their fiscal policies. This paper takes a micro perspective and quantifies the impact of procurement spending - a specific component of G - on firm survival. We find that firms that receive public contracts survive longer, ceteris...

This study analyzes the causal effect of an increase in the retirement age on health. We exploit a sizable cohort-specific pension reform for women using two complementary empirical approaches - a Regression Discontinuity Design and a Difference-in-Differences approach. The analysis is based on...

We estimate the effect of the level of fines on payment compliance and revenues collected from speeding tickets. Exploiting discontinuous increases in fines at speed cutoffs and reform induced variation in these discontinuities, we implement two complementary regression discontinuity designs....

Academic education is generally rewarded by employers, but what happens to graduates if they are trained for two years less and have to compete with vocationally trained labor market entrants in a similar field of study? Focusing on Germany, we analyze labor market entries of individuals...