In this paper, I introduce money in the standard labor-matching model (Mortensen and Pissarides 1999, Pissarides 2000). A double coincidence problem makes Fiat Money necessary as a medium of exchange. In the long-run, a rise in the rate of money growth leads to higher inflation and higher...

This paper characterizes optimal non-linear income taxation in an economy with a continuum of unobservable productivity levels and endogenous involuntary unemployment due to frictions in the labor markets. Redistributive taxation distorts labor demand and wages. Compared to their efficient...

This paper characterizes the optimal redistributive taxation when individuals are heterogeneous in two exogenous dimensions: their skills and their values of non-market activities. Search-matching frictions on the labor markets create unemployment. Wages, labor demand and participation are...

Because of Time Inconsistency considerations, policymakers underestimate the drawbacks of wage rigidity as a redistributive tool. Consequently, they redistribute inefficiently income from high to low skilled workers. They typically implement too much wage rigidity whereas other means (in...

This paper builds a macroeconomic model of equilibrium unemployment in which firms persistently face difficulties in selling their production and this affects their decisions to create jobs. Due to search-frictions on the product market, equilibrium unemployment is a U-shaped function of the...

We build a theoretical model to study whether a minimum wage can be welfare-improving if it is implemented in conjunction with an optimized nonlinear income tax. We consider this issue in a framework where search frictions on the labor market generate unemployment. Workers differ in...

This article studies the political choice over the extent and the means of income redistribution between high and low skilled workers. Redistributive tools encompass fiscal transfers with negative income tax and minimum wage. Using fiscal instruments only is assumed optimal. We show that high...