This paper quantifies the “human costs of bankruptcy” by estimating employee wage losses induced by the bankruptcy filing of employers using employee-employer matched data from the U.S. Census Bureau's LEHD program. We find that employee wages begin to deteriorate one year prior to...

We study the role of firm- and manager-specific heterogeneities in executive compensation. We decompose the variation in executive compensation and find that time invariant firm and especially manager fixed effects explain a majority of the variation in executive pay. We then show that in many...

Uncertainty has qualitatively different implications than risk in studying executive incentives. We study the interplay between profitability uncertainty and moral hazard, where profitability is multiplicative with managerial effort. Investors who face greater uncertainty desire faster learning,...

Uncertainty has qualitatively different implications than risk in studying executive incentives. We study the interplay between profitability uncertainty and moral hazard, where profitability is multiplicative with the managerial effort. Investors who face greater uncertainty desire faster...

We test the limits of arbitrage argument for the survival of irrationality-induced financial anomalies by sorting securities on their individual residual variability as a proxy for idiosyncratic risk - a commonly asserted limit to arbitrage - and comparing the strength of anomalous returns in...

This paper examines the effect of product market threats on firms' stock crash risk. Competitive pressure from the product market aggravates managers' incentive to withhold negative information. When negative information is accumulated to a tipping point, the accumulated information all comes...

We study the role of firm- and manager-specific heterogeneities in executive compensation. We decompose the variation in executive compensation and find that time invariant firm and especially manager fixed effects explain a majority of the variation in executive pay. We then show that in many...