We analyze the implications of the decline in labor’s share in national income for optimal Ramsey taxation. It is optimal to accompany the decline in labor share by raising capital taxes only if the labor share is falling because of a decline in competition or other mechanisms that raise the...

In this paper a simple dynastic overlapping-generations model with homogeneous agents is used to analyze the optimal use of capital income tax, labor income tax and estate tax. The results of this analysis add to the conventional wisdom about capital income taxation: while it is true that in the...

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...

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...

This paper investigates household decisions, and optimal taxation in an overlapping generations model in which individual utility depends on a weighted average of consumption of ones peers — a “keeping up with the Joneses” consumption externality. In contrast to representative agent...

Wealthier households obtain higher returns on their investments than poorer ones. How should the tax system account for this return inequality? I study capital taxation in an economy in which return rates endogenously correlate with wealth. The leading example is a financial market, where the...

There is increasing empirical evidence that people systematically differ in their rates of return on capital. We derive optimal non-linear taxes on labor and capital income in the presence of such return heterogeneity. We allow for two distinct reasons why returns are heterogeneous: because...