We measure the impact of individuals' looks on life satisfaction/happiness. Using five data sets, from the U.S., Canada, the U.K., and Germany, we construct beauty measures in different ways that allow placing lower bounds on the effects of beauty. Beauty raises happiness: A one...

Using a very large sample of matched author-referee pairs, we examine how the gender of referees and authors affects the former's recommendations. Relying on changing matches of authors and referees, we find no evidence of gender differences among referees in charitableness toward authors; nor...

We measure the impact of individuals' looks on life satisfaction and happiness. Using six data sets, from Canada, Germany, the United Kingdom, and the United States, we construct beauty measures in a number of different ways. Beauty raises happiness: A one standard-deviation change in beauty...

Using a very large sample of matched author-referee pairs, we examine how referees' and authors' genders affect the referees' recommendations. Relying on changing author-referee matches, we find no evidence of gender differences among referees in charitableness, nor is there any effect of the...

Using a very large sample of matched author-referee pairs, we examine how the gender of referees and authors affects the former's recommendations. Relying on changing matches of authors and referees, we find no evidence of gender differences among referees in charitableness toward authors; nor...

We measure the impact of individuals' looks on their life satisfaction or happiness. Using five data sets from the U.S., Canada, the U.K., and Germany, we construct beauty measures in different ways that allow putting a lower bound on the true effects of beauty on happiness. Personal beauty...

This paper introduces rank estimators for a general transformation model with observable truncation points. The estimators, which are modified versions of the rank estimators of Han (1987) and Cavanagh and Sherman (1998), are asymptotically normal and require no bandwidth choice. Log-concavity...

We consider a functional parameter called the conditional average treatment effect (CATE), designed to capture heterogeneity of a treatment effect across subpopulations when the unconfoundedness assumption applies. In contrast to quantile regressions, the subpopulations of interest are defined...