Knowing the elasticity of taxable income (ETI) is crucial for understanding the effects of taxation on taxpayer behavior and consequently on tax revenues. Previous research finds that high-income individuals are the most sensitive to tax policy changes. However, these individuals have more...

The complexity of the income tax is an unending source of complaint. Compliance costs have received increasing attention and are estimated to be large. Yet most recognize that some degree of complexity is necessary if ability to pay is to be measured accurately. This article presents a framework...

This paper studies second best policies for education, saving, and labour in an OLG model in which endogenous growth results from human capital accumulation. Government expenditures have to be financed by linear instruments so that growth equilibria are inefficient. The inefficiency is...

We study a large economy model in which individuals have private information about their productive abilities and their preferences. Moreover, there is aggregate uncertainty so that the social benefits from taxation and public goods provision are a priori unknown. The analysis is based on a...

How are optimal taxes affected by the presence of superstar phenomena at the top of the earnings distribution? To answer this question, we extend the Mirrlees model to incorporate an assignment problem in the labor market that generates superstar effects. Perhaps surprisingly, rather than...

This paper studies how the transition from self-employment to employee-jobs over the long run of development explains growth in income tax capacity. I construct a new database which covers 100 household surveys across countries at different income levels and 140 years of historical data within...

How are optimal taxes affected by the presence of superstar phenomena at the top of the earnings distribution? To answer this question, we extend the Mirrlees model to incorporate an assignment problem in the labor market that generates superstar effects. Perhaps surprisingly, rather than...