Suchergebnisse

AbstractWe develop a theory that links individuals' network structure to their productivity and earnings. While a higher degree leads to better access to information, more clustering leads to higher peer pressure. Both information and peer pressure affect effort in a model of team production, with each being beneficial in a different environment. We find that information is particularly valuable under high uncertainty, whereas peer pressure is more valuable in the opposite case. We apply our theory to gender disparities in performance. We document the novel fact that men establish more connections (a higher degree) whereas women possess denser networks (a higher clustering coefficient). We therefore expect men to outperform women in jobs that are characterised by high uncertainty in project outcomes and earnings. We provide suggestive evidence that supports our predictions.

The labor market by itself can create cyclical outcomes, even in the absence of exogenous shocks. We propose a theory in which the search behavior of the employed has profound aggregate implications for the unemployed. There is a strategic complementarity between active on-the-job search and vacancy posting by firms, which leads to multiple equilibria: in the presence of sorting, active on-the-job search improves the quality of the pool of searchers. This encourages vacancy posting, which in turn makes costly on-the-job search more attractive—a self-fulfilling equilibrium. The model provides a rationale for the Jobless Recovery, the outward shift of the Beveridge curve during the boom and for pro-cyclical frictional wage dispersion. Central to the model's mechanism is the fact that the employed crowd out the unemployed when on-the-job search picks up during recovery. We also illustrate this mechanism in a stylized calibration exercise. ; Eeckhout gratefully acknowledges support from the ERC, Grant 339186, from RecerCaixa 2013, and from the Spanish Government, Grant ECO2015-67655-P.