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 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...

The economics 'credibility revolution' has promoted the identification of causal relationships using difference-in-differences (DID), instrumental variables (IV), randomized control trials (RCT) and regression discontinuity design (RDD) methods. The extent to which a reader should trust claims...

In this paper, we examine the relationship between p-hacking and data-sharing policies for published articles. We collect 38,876 test statistics from 1,106 articles published in leading economic journals between 2002–2020. While a data-sharing policy increases the provision of research data to...

This study pushes our understanding of research reliability by reproducing and replicating claims from 110 papers in leading economic and political science journals. The analysis involves computational reproducibility checks and robustness assessments. It reveals several patterns. First, we...

In response to COVID-19, dramatic safer-at-home policies were implemented. The understanding of their impacts on social distancing, travel and pollution is in its infancy. We pair a differences-in-differences framework and synthetic control methods with rich cellular tracking and high frequency...

Recent theoretical and empirical work characterizes attention as a limited resource that decision-makers strategically allocate. There has been less research on the dynamic interdependence of attention: how paying attention now may affect performance later. In this paper, we exploit...

We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find that initial submissions display significant bunching, suggesting the distribution among published statistics cannot be fully attributed to a publication bias in peer review. Desk-rejected...

This paper investigates the effects of local smoking bans on different out-comes using county and time variation over the last 20 years in the US. First, I find no evidence that local smoking bans in bars, restaurants and workplaces decrease the prevalence of smoking. The estimates are very...

This paper analyses how neighbors' income affect agents' well-being using unprecedented data from the BRFSS and the City of Somerville. We conduct a multi-scale approach at the county, ZIP code and street-levels and find that the association between well-being and neighbors' income follows an...