This paper analyzes optimal progressive capital income taxation in an infinite horizon model where individuals differ only through their initial wealth. We show that, in that context, progressive taxation is a much more powerful and efficient tool to redistribute wealth than linear taxation on...

Optimal tax theory has shown that, under weak assumptions, indirect taxation such as production subsidies, tariffs, or differentiated commodity taxation, are sub-optimal and that redistribution should be achieved solely with the direct income tax. However, these important results of optimal tax...

This paper analyzes the optimal treatment of tax expenditures. It develops an optimal tax model where individuals derive utility from spending on a contribution' good such as charitable giving. The contribution good has also a public good effect on all individuals in the economy. The government...

This paper revisits the Atkinson-Stiglitz result on uselessness of commodity taxation in the presence of optimal non-linear income taxation in a more general setup, namely when tastes are heterogeneous. This general analysis displays the key economic assumptions under which the Atkinson-Stiglitz...

This paper provides preliminary evidence on behavioral responses to taxation around the 2013 tax increase that raised top marginal tax rates on capital income by about 9.5 points and on labor income by about 6.5 points. Using published tabulated tax statistics from the Statistics of Income...

Many countries provide financial incentives to spur innovation, ranging from tax incentives to research and development grants. In this paper, we study how such financial incentives affect individuals' decisions to pursue careers in innovation. We first present empirical evidence on inventors'...

We develop a simple method to reduce privacy loss when disclosing statistics such as OLS regression estimates based on samples with small numbers of observations. We focus on the case where the dataset can be broken into many groups ("cells") and one is interested in releasing statistics for one...

Low-income families in the United States tend to live in neighborhoods that offer limited opportunities for upward income mobility. One potential explanation for this pattern is that families prefer such neighborhoods for other reasons, such as affordability or proximity to family and jobs. An...

A common challenge in estimating the long-term impacts of treatments (e.g., job training programs) is that the outcomes of interest (e.g., lifetime earnings) are observed with a long delay. We address this problem by combining several short-term outcomes (e.g., short-run earnings) into a...

We construct a public atlas of children's outcomes in adulthood by the Census tract in which they grew up using anonymized longitudinal data covering nearly the entire U.S. population. For each tract, we estimate children's earnings distributions, incarceration rates, and other out-comes in...