This chapter examines the role of spatial sorting in shaping economic inequality in the United States. We first document the evolution of firm and worker sorting by skill level between 1980 and 2017. We highlight a shift since 2000, where both high-education workers and firms increasingly sort...

We characterize the contribution of immigrants to US innovation, both through their direct productivity as well as through their indirect spillover effects on their native collaborators. To do so, we link patent records to a database containing the first five digits of more than 230 million of...

We quantify racial differences in the total rate of return on housing in a nationally representative sample of homeowners from 1974-2021. We develop a new method to estimate the rental value of each owner-occupied house, using a house's resale value to proxy for unobservable quality. Black and...

Medical technologies can target care to patients identified through screening, raising questions of how broadly to screen for potential use. We explore this empirically in the context of a non-invasive prenatal screening, cfDNA, which is used to target a more costly invasive test that elevates...

We use linked administrative data that combines the universe of California birth records, hospitalizations, and death records with parental income from Internal Revenue Service tax records and the Longitudinal Employer-Household Dynamics file to provide novel evidence on economic inequality in...

WHO estimates that as many as 1 in 6 individuals of reproductive age worldwide are affected by infertility. This paper uses rich administrative population-wide data from Sweden to construct and characterize the universe of infertility treatments, and to then quantify the private costs of...

The motherhood penalty is well-documented, but what happens at the other end of the reproductive spectrum? Menopause--a transition often marked by debilitating physical and psychological symptoms--also entails substantial costs. Using population-wide Norwegian and Swedish data and...

It is a standard practice in regression analyses to allow for clustering in the error covariance matrix if the explanatory variable of interest varies at a more aggregate level (e.g., the state level) than the units of observation (e.g., individuals). Often, however, the structure of the error...