We use a detailed micro dataset on product availability to construct a direct high-frequency measure of consumer product shortages during the 2020-2021 pandemic. We document a widespread multi-fold rise in shortages in nearly all sectors early in the pandemic. Over time, the composition of...

We estimate the impact of piped water and sewers on property values in mid-19th century Chicago. The cost of sewer construction depends sensitively on imperceptible variation in grade, and such variations in grade delay water and sewer service to part of the city. This delay provides...

We show, using machine learning, that fund characteristics can consistently differentiate high from low-performing mutual funds, as well as identify funds with net-of-fees abnormal returns. Fund momentum and fund flow are the most important predictors of future risk-adjusted fund performance,...

Groundwater is a key resource for agricultural production globally. Increasingly rapid aquifer drawdowns--as well as the policies intended to increase their sustainability--increase costs to agricultural producers, with unknown consequences. This paper provides the first large-scale empirical...

This paper extends my research applying statistical decision theory to treatment choice with sample data, using maximum regret to evaluate the performance of treatment rules. The specific new contribution is to study as-if optimization using estimates of illness probabilities in clinical choice...

We integrate a high-frequency monetary event study into a mixed-frequency macro-finance model and structural estimation. The model and estimation allow for jumps at Fed announcements in investor beliefs, providing granular detail on why markets react to central bank communications. We find that...

This paper reviews the literature on idiosyncratic equity volatility since the publication of "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk" in 2001. We respond to replication studies by Chiah, Gharghori, and Zhong and by Leippold and Svaton, and we...