Knowledge that Transforms

How did #MeToo alter collaboration between women and men? I show junior female researchers start fewer projects after #MeToo. A decrease in collaborations with male coauthors—especially new senior male coauthors at the same institution—largely explains the decline. The decrease is larger at universities with higher perceived harassment accusation risk and smaller where both women and men publicly express greater awareness of gender issues. I find no evidence that reduced collaboration improves research outcomes for junior female researchers. The results suggest that #MeToo led to a breakdown in trust that came at a cost for junior women's career opportunities.

Customers in over‐the‐counter (OTC) markets must find a counterparty to trade. Little is known about this process, however, because existing data consist of transaction records, which only reveal the outcome of a search. Using data from a trading platform for corporate bonds, we unpack the search process. We analyze how long it takes customers to trade and how dealers' offers evolve across repeated inquiries. We estimate that it takes two to three days to complete a transaction after an unsuccessful attempt, with substantial variation across trade and customer characteristics. Our analysis offers insights into the sources of trading delays in OTC markets.

Why do fire sales occur if many risks are hedgeable? We study a version of Brunnermeier and Sannikov (2014, American Economic Review 104, 379–421) in which all fundamental risks can be hedged frictionlessly. Our analysis shows that fire sales are inherently self‐fulfilling. Fundamental shocks can never cause fire sales, and an efficient, safe equilibrium exists. On the other hand, there exists an equilibrium in which agents coordinate fire sales on nonfundamental shocks. A simple refinement based on vanishingly small perceived fundamental risk eliminates the safe equilibrium and selects the fire‐sale equilibrium as the unique outcome.

This paper estimates the cross‐sectional distribution of Epstein‐Zin preferences using the wealth and risky portfolio shares of a large panel of Swedish households. We find modestly heterogeneous risk aversion (standard deviation 0.97, median 7.50) and a meaningfully heterogeneous and right‐skewed time preference rate (TPR; standard deviation 7.31%, median 4.08%) and elasticity of intertemporal substitution (EIS; standard deviation 3.17, median 0.70). Risk aversion and the EIS are only very weakly negatively correlated. We estimate lower risk aversion for households with riskier labor income, and a higher TPR and lower EIS for households that enter our sample with low wealth.

Mergers are associated with large and persistent earnings declines for incumbent employees in target firms. Linking employer‐employee administrative data with information on merger activity in Brazil, I find the negative effects concentrate on employees who exit target firms and reflect displacement in the short run and wage declines in the long run. Low‐skilled, managerial, and older employees fare worse. Overall, I conclude that mergers are followed by substantial reallocation costs reflecting losses of firm‐specific wage premiums, matching inefficiencies, and industry‐specific human capital depreciation, with employees transitioning to lower paying firms considered to be of lower productivity and employment value.

We present results from a field experiment that introduced digital payroll accounts to unbanked factory workers to examine how inexperienced consumers learn to use a new financial technology. We find that exposure to payroll accounts leads to increased account use, accelerated learning, and avoidance of common consumer protection risks. Those receiving electronic wage payments gradually build trust in the technology, learn to use accounts without assistance, and avoid illicit fees. Using experimental variation in assignment to bank versus mobile money accounts, we show that these impacts are concentrated in mobile money accounts, the newer, more complex, and less trusted financial technology.