We consider the optimal nonlinear income taxation problem in a dynamic, stochastic environment when the government cannot change the tax rule as uncertainty resolves. Due to such a stationarity constraint, our taxation problem is reduced to a static one over an expanded type space. We strengthen...

We consider the optimal nonlinear income taxation problem in a dynamic, stochastic environment when the government is sluggish in the sense that it cannot change the tax rule as uncertainty resolves. We argue that the zero top marginal tax rate result in static models is of little practical...

We consider the optimal nonlinear income taxation problem in a dynamic, stochastic environment when the government is sluggish in the sense that it cannot change the tax rule as uncertainty resolves. We show that the sluggish government cannot allow saving or borrowing regardless of the utility...

We consider the optimal nonlinear income taxation problem in a dynamic, stochastic environment when the government is sluggish in the sense that it cannot change the tax rule as uncertainty resolves. We argue that the zero top marginal tax rate result in static models is of little practical...

We consider a microfounded urban growth model with two regions and a mass of mobile workers to study interactions among growth, agglomeration, and urban congestion. Unlike previous research in the urban growth literature, we formulate the model as a one-shot game and take an evolutionary...

We empirically assess the treatment effects of a place-based policy in Japan and propose a socially desirable and practically feasible treatment assignment rule for the program. To account for heterogeneity of treatment effects, we estimate the conditional average treatment effect for each...