We present a model in which managers are risk-averse and firms compete for scarce managerial talent ("alpha"). When managers are not mobile across firms, firms provide efficient compensation, which allows for learning about managerial talent and for insurance of low-quality managers. When...

We posit the problem of an autocrat who has to allocate access to the executive positions in his inner circle and define the career profile of his own insiders. Statically, granting access to an executive post to a more experienced subordinate increases political returns to the post, but is more...

Measuring the value of labor-market hires for stock prices, be it underwriters when firms go public (IPOs) or chief executive officers (CEOs), is difficult due to selection. Opaque firms with higher costs of capital benefit more from prestigious underwriters, while productive firms benefit more...

In a labor market hierarchy, promotions are affected by the noisiness of information about the candidates. I study the hypothesis that males are more risk taking than females, and its implications for rates of promotion and abilities of survivors. I define promotion hierarchies with and without...

This paper presents a market equilibrium model of CEO assignment, pay and incentives under risk aversion and heterogeneous moral hazard. Each of the three outcomes can be summarized by a single closed-form equation. In assignment models without moral hazard, allocation depends only on firm size...

We provide evidence that firms appoint independent directors who are overly sympathetic to management, while still technically independent according to regulatory definitions. We explore a subset of independent directors for whom we have detailed, micro-level data on their views regarding the...

Using a large sample of establishments drawn from the Multi-City Study of Urban Inequality (MCSUI) employer survey, we study gender differences in promotion rates and in the wage gains attached to promotions. Several unique features of our data distinguish our analysis from the previous...

Can algorithms assist firms in their decisions on nominating corporate directors? We construct algorithms to make out-of-sample predictions of director performance. Tests of the quality of these predictions show that directors predicted to do poorly indeed do poorly compared to a realistic pool...

This paper introduces new nonparametric statistical methods to evaluate zero-cost investment strategies. We focus on directional trading strategies, risk-adjusted returns, and the investor's decisions under uncertainty as the core of our analysis. By relying on classification tools with a long...

We study how heterogeneity in performance evaluations across supervisors affects employee and supervisor careers and firm outcomes using data on the performance system of a Scandinavian service sector firm. We show that supervisors vary widely in how they rate subordinates of similar quality. To...