In the United States, religious attendance rises sharply with education across individuals, but religious attendance declines sharply with education across denominations. This puzzle is explained if education both increases the returns to social connection and reduces the extent of religious...

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 assignment variable. This design arises in many institutional settings where a policy variable (such as weekly...

We demonstrate that data from digital platforms such as Yelp have the potential to improve our understanding of gentrification, both by providing data in close to real time (i.e. nowcasting and forecasting) and by providing additional context about how the local economy is changing. Combining...

We provide new evidence on the effect of the unemployment insurance (UI) weekly benefit amount on unemployment insurance spells based on administrative data from the state of Missouri covering the period 2003-2013. Identification comes from a regression kink design that exploits the...

American technological creativity is geographically concentrated in areas that are generally distant from the country's most persistent pockets of joblessness. Could a more even spatial distribution of innovation reduce American joblessness? Could Federal policies disperse innovation without...

We use a data set of federal corruption convictions in the U.S. to investigate the causes and consequences of corruption. More educated states, and to a less degree richer states, have less corruption. This relationship holds even when we use historical factors like education in 1928 or...

A regression kink design (RKD or RK design) can be used to identify casual effects in settings where the regressor of interest is a kinked function of an assignment variable. In this paper, we apply an RKD approach to study the effect of unemployment benefits on the duration of joblessness in...