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 labour markets. Redistributive taxation distorts labour demand and wages. Compared to their efficient...

[fre] Cet article étudie si la mise en place d’une allocation universelle pourrait réduire à la fois le chômage et les inégalités. La présence d’allocation universelle se traduit par davantage de progressivité dans le système fiscal, ce qui réduit la pression salariale exprimée...

This paper characterizes the optimal redistributive tax schedule in a search–matching framework where (voluntary) nonparticipation and (involuntary) unemployment are endogenous and wages are determined by proportional bargaining à la Kalai. The optimal employment tax rate is given by an...

We investigate how the optimal nonlinear income tax schedule is modified when taxpayers can evade taxation by emigrating. We consider two symmetric countries with Maximin governments. Workers choose their labor supply along the intensive margin. The skill distribution is continuous, and, for...

This article examines unemployment disparities and efficiency in a densely populated economy with two job centers and workers distributed between them. We introduce commuting costs and search-matching frictions to deal with the spatial mismatch between workers and firms. In equilibrium, there...

We show that lack of commitment in the policymaking process may explain the prevalence of the minimum wage to redistribute income, despite its negative impact on unemployment. In the absence of commitment, firms anticipate the government's willingness to use a minimum wage policy to reduce 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...