We solve a large class of multidimensional adverse selection problems with one observed action, to derive the nonlinear optimal income tax schedule when individuals differ along multiple unobserved characteristics. Based on a perturbation of the optimal allocation, our method allows individuals...

We study the optimal nonlinear income tax problem with multidimensional individual characteristics on which taxes cannot be conditioned. We obtain an optimal tax formula that generalizes the standard one by averaging, with specific weights, the sufficient statistics of individuals who earn the...

We study the optimal nonlinear income tax problem with multidimensional individual characteristics on which taxes cannot be conditioned. We obtain an optimal tax formula that generalizes the standard one by averaging, with specific weights, the sufficient statistics of individuals who earn the...

We propose a new method, that we call an allocation perturbation, to derive the optimal nonlinear income tax schedules with multidimensional individual characteristics on which taxes cannot be conditioned. It is well established that, when individuals differ in terms of preferences on top of...

This paper characterizes the optimal redistributive tax schedule in a matching unemployment framework with endogenous (voluntary) nonparticipation and (involuntary) unemployment. The optimal employment tax rate is given by an inverse employment elasticity rule. This rule depends on the global...

We develop a methodology to sign output distortions in the random participation framework. We apply our method to monopoly nonlinear pricing problem, to the regulatory monopoly problem and mainly to the optimal income tax problem. In the latter framework, individuals are heterogeneous across two...