In the context of a standard equilibrium matching framework, this paper considers how a duration dependent unemployment insurance (UI) system affects the dynamics of unemployment and wages in an economy subject to stochastic job-destruction shocks. It establishes that re-entitlement effects...

"Conventional studies of absenteeism concentrate on labor supply. An equilibrium approach, however, establishes that the shadow cost of absenteeism varies across firms that operate different technologies. Using an unusual employee/employer matched data set from France, which records both...

The goal of this paper is to extend the analysis of strategic bargaining to nonstationary environments, where preferences or opportunities may be changing over time. We are mainly interested in equilibria where trade occurs immediately, once the agents start negotiating, but the terms of trade...

In the context of a standard equilibrium matching framework, this paper shows how a duration dependent unemployment insurance (UI) system stabilises unemployment levels over the business cycle. It establishes that re-entitlement effects induced by a finite duration UI program generate...

This paper tests whether aggregate matching is consistent with unemployment being mainly due to search frictions or due to job queues. Using U.K. data and correcting for temporal aggregation bias, estimates of the random matching function are consistent with previous work in this field, but...

This paper investigates equilibria in a labor market where firms post wage/tenure contracts and risk-averse workers, both employed and unemployed, search for better paid job opportunities. Different firms typically offer different contracts. Workers accumulate general human capital through...

The objective of this paper is to analyse an equilibrium search model with on-the-job search and human capital accumulation. In our model wages are disperse because firms pay workers of the same productivity different wages and workers of different productivies earn different wages. New entrants...