Knowledge that Transforms

Abstract The identification of disaster risk has remained a significant challenge due to the rarity of macroeconomic disasters. We show that the interbank market can help characterize the time variation in disaster risk. We propose a risk-based model in which macroeconomic disasters are likely to coincide with interbank market failure. Using interbank rates and their options, we estimate our model via maximum likelihood estimation (MLE) and filter the short-run and long-run components of disaster risk. Our estimation results are independent of the stock market and serve as an external validity test of rare disaster models, which are typically calibrated to match stock moments.

Abstract This study examines the impact of recreational marijuana laws (RMLs) on firm-level employment using an imputation-based difference-in-differences (DiD) approach across U.S. states. RMLs significantly reduce employment, particularly among firms with high-skilled labor, strong union presence, permissive corporate cultures, and in states with greater dispensary density. Alternative explanations—including economic crises, COVID-19, fiscal changes, labor regulations, and related policies such as smoking bans and right-to-work (RTW) laws—are systematically ruled out through a series of placebo and robustness tests. RMLs also reduce investment, sales growth, and innovation, suggesting that legalization introduces labor-related frictions with broad implications for firm performance and long-term dynamism.

Abstract Stablecoins are a new form of private money. They are fragile but largely trade at par. How? We present a model and empirical work to examine a novel source of demand for stablecoins. Stablecoin owners are indirectly compensated for run risk by lending their coins to crypto speculators. The stablecoin can then support its $1 peg, but this arrangement links crypto speculation to traditional financial markets where stablecoins invest their reserves.