Pre-registration is regarded as an important contributor to research credibility. We investigate this by analyzing the pattern of test statistics from the universe of randomized controlled trials (RCT) studies published in 15 leading economics journals. We draw two conclusions: (a)...

Randomized controlled trials (RCTs) are increasingly prominent in economics, with pre-registration and pre-analysis plans (PAPs) promoted as important in ensuring the credibility of findings. We investigate whether these tools reduce the extent of p-hacking and publication bias by collecting and...

Amazon's Mechanical Turk is a very widely-used tool in business and economics research, but how trustworthy are results from well-published studies that use it? Analyzing the universe of hypotheses tested on the platform and published in leading journals between 2010 and 2020 we find evidence of...

This paper investigates the impacts of COVID-19 safer-at-home polices on collisions and pollution. We find that statewide safer-at-home policies lead to a 20% reduction in vehicular collisions and that the effect is entirely driven by less severe collisions. For pollution, we find particulate...

Graduating economics PhDs face intense competition when seeking faculty or research positions at universities and research institutions. We examine the relationship between statistically significant results, arguably used as indicators of research quality in a competitive academic market, and...

In this paper, we investigate the economic consequences of mass shootings. We find that shootings have negative effects on targeted counties' economies. Estimates using three different comparison groups yield similar results. Examining the mechanisms, we find that residents of targeted areas:...

The goal of this piece is to survey the emerging and rapidly growing literature on the economic consequences of COVID-19 and governmental responses, and to synthetize the insights emerging from a very large number of studies. This survey (i) provides an overview of the data sets used to measure...

What is the effect of the COVID-19 pandemic on the 2020 U.S. presidential election? Guided by a pre-analysis plan, we estimate the effect of COVID- 19 cases and deaths on the change in county-level voting for Donald Trump between 2016 and 2020. To account for potential confounders, we include a...

This paper examines the impact of terrorism on voting behavior in the United States. We rely on an exhaustive list of terror attacks over the period 1970-2016 and exploit the inherent randomness of the success or failure of terror attacks to identify the political impacts of terrorism. We first...

A better understanding of community response to government decisions is crucial for policy makers and health officials during the COVID-19 pandemic. In this study, we document the determinants of implementation and compliance with stay-at-home orders in the U.S., focusing on trust and social...