We construct and estimate by maximum likelihood an equilibrium search model where wages are set by Nash bargaining and idiosyncratic productivity follows a geometric Brownian motion. The proposed framework enables us to endogenize job destruction and to estimate the rate of learning-by-doing....

This paper extends the job market signaling model of Spence (1973) by allowing firms to learn the ability of their employees over time. Contrary to the model without employer learning, we find that the Intuitive Criterion does not always select a unique separating equilibrium. When the Intuitive...

This paper studies the design of optimal contracts in dynamic environments where agents learn by doing. We derive a condition under which contracts are fully incentive compatible. A closed-form solution is obtained when agents have CARA utility. It shows that human capital accumulation...

We construct and estimate by maximum likelihood an equilibrium search model where wages are set by Nash bargaining and idiosyncratic productivity follows a geometric Brownian motion. The proposed framework enables us to endogenize job destruction and to estimate the rate of learning-by-doing....

We solve a long-term contracting problem with symmetric uncertainty about the agent's quality, and a hidden action of the agent. As information about quality accumulates, incentives become easier to provide because the agent has less room to manipulate the principal's beliefs. This result is...

This paper extends the job market signaling model of Spence (1973) by allowing firms to learn the ability of their employees over time. Contrary to the model without employer learning, we find that the Intuitive Criterion does not always select a unique separating equilibrium. When the Intuitive...