We analyze optimal taxation of labor and capital income in a life-cycle framework with idiosyncratic income risk. We provide a novel decomposition of labor income tax formulas into a redistribution and an insurance component. The latter is independent of the social welfare function and...

Tax law is often uncertain. In particular, the use of tax shelters tends to be in the “grey area” between illegal tax evasion and legal tax avoidance. In this paper I show that uncertainty in tax law can help achieve higher efficiency than allowing or disallowing a tax shelter with...

We develop a model of education where individuals face educational risk. Successfully entering the skilled labor sector depends on individual effort in education and public resources, but educational risk still causes (income) inequality. We show that an optimal public policy consists of...

In a model with ex-ante homogenous households, earnings risk and a general earnings function, we derive the optimal linear labor tax rate and optimal linear education subsidies. The optimal income tax trades off social insurance against incentives to work and to invest in human capital....

We study optimal nonlinear income taxation when earnings can differ because of both ability and luck, so the income tax has both a redistributive role and an insurance role. A substantial literature on optimal redistribution in the absence of uncertainty has evolved since Mirrlees' original...

We study optimal nonlinear income taxation when earnings can differ because of both ability and luck, so the income tax has both a redistributive role and an insurance role. A substantial literature on optimal redistribution in the absence of uncertainty has evolved since Mirrlees' original...

We characterize the optimal linear tax on capital in an Overlapping Generations model with two period lived households facing uninsurable idiosyncratic labor income risk. The Ramsey government internalizes the general equilibrium feedback of private precautionary saving. For logarithmic utility...