This paper analyzes an urn-ball matching model in which workers decide how intensively they sample job openings and apply at a stochastic number of suitable vacancies. Equilibrium is not constrained efficient; entry is excessive and search intensity can be too high or too low. Moreover, an...

We show that equilibrium involuntary unemployment emerges in a multi-stage game model where all market power resides with firms, on both the labour and the output market. Firms decide wages, employment, output and prices, and under constant returns there exists a continuum of subgame perfect...

We consider a dynamic general equilibrium model with collective wage bargaining and investigate how unemployment dynamics are affected by two types of budgetary policies. In line with traditional reasoning, a balanced-budget rule amplifies fluctuations in the short run, whereas an...

This paper analyzes an urn-ball matching model in which workers decide how intensively they sample job openings and apply at a stochastic number of suitable vacancies. Equilibrium is not constrained efficient; entry is excessive and search intensity can be too high or too low. Moreover, an...

This paper analyzes an urn–ball matching model in which workers decide how intensively they sample job openings and apply at a stochastic number of suitable vacancies. The model allows for tractable equilibrium characterization with a continuous search intensity margin. Equilibrium is not...

We show that equilibrium involuntary unemployment emerges in a multi-stage game model where all market power resides with firms, on both the labour and the output market. Firms decide wages, employment, output and prices, and under constant returns there exists a continuum of subgame perfect...

The value of land in the balance sheet of French firms correlates positively with their hiring and investment flows. To explore the relationship between these variables, we develop a macroeconomic model with firms that are subject to both credit and labor market frictions. The value of...