In 2020, Japan introduced a comprehensive heat-health warning system where daily alerts were issued by region when forecasted wet bulb globe temperature (WBGT) exceeded a threshold (33 °C). Utilizing plausibly exogenous region-day variation in the difference between actual and forecasted WBGT...

We utilize region-day variation in actual vs. forecasted weather conditions (i.e. forecasting errors) to comprehensively investigate the effects of the first heat-health warning system in Japan. We find that heat alerts led to a 17% increase in heat stroke counts. An analysis of mechanisms...

Time scarcity is one of the strongest correlates of fast food consumption. To estimate the causal effect of time lost on food choice, we match daily store-specific foot traffic data traced via smartphones to plausibly exogenous shocks in highway traffic data in Los Angeles. We find that on days...

This study pairs variation stemming from volcanic eruptions from Kilauea with the census of Hawai'i's public schools student test scores to estimate the impact of particulates and sulfur dioxide on student performance. We leverage spatial correlations in pollution in conjunction with proximity...

We study how author-editor and author-reviewer network connectivity and "match" influence editor decisions and reviewer recommendations of economic research at the Journal of Human Resources. Our empirical strategy employs several dimensions of fixed effects to overcome concerns of endogenous...

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...

Sleep studies suggest that girls go to sleep earlier, are more active in the morning, and cope with sleep deprivation better than boys. We provide the first causal evidence on how gender differences in sleep cycles can help explain the gender performance gap. We exploit over 240,000...