This paper shows how to calculate consistent marginal effects on the original scale of the outcome variable in Stata after estimating a linear regression with a dependent variable that has been transformed by the inverse hyperbolic sine function. The method uses a nonparametric retransformation...

According to the World Health Organization, obesity is one of the greatest public-health challenges of the 21st century. Body weight is also known to affect individuals' self-esteem and interpersonal relationships, including romantic ones. We estimate "utility-maximizing" Body Mass Index (BMI)...

Within the vast body of literature on the relationship between mental disorders and life satisfaction, no satisfactory treatment has been proposed to deal with the bi-directional relationship between the two. We estimate the causal effect of depression and anxiety on life satisfaction by...

This paper proposes a method to estimate treatment effects in difference-in-differences designs in which the treatment start is staggered over time and treatment effects are heterogeneous by group, time, and covariates, and when the data are repeated cross-sections. We show that a...

Dependent variables that are non-negative, follow right-skewed distributions, and have large probability mass at zero arise often in empirical economics. Two classes of models that transform the dependent variable y -- the natural logarithm of y plus a constant and the inverse hyperbolic sine --...

We document substantial variation in the effects of a highly-effective literacy pro-gram in northern Uganda. The program increases test scores by 1.40 SDs on average, but standard statistical bounds show that the impact standard deviation exceeds 1.0SD. This implies that the variation in effects...

Bucky's Tuition Promise (BTP) at the University of Wisconsin-Madison offers generous financial aid to low-income, in-state students. Unlike many similar programs at other public universities, financial eligibility for BTP depends solely on a family's Adjusted Gross Income (AGI), rather than on...

We provide simple tests for selection on unobserved variables in the Vytlacil-Imbens-Angrist framework for Local Average Treatment Effects (LATEs). Our setup allows researchers not only to test for selection on either or both of the treated and untreated outcomes, but also to assess the...