The Random Utility Model (RUM) is a workhorse model for valuing new products or changes in public goods. But RUMs have been faulted along two lines. First, for including idiosyncratic errors that imply unreasonably high values for new alternatives and unrealistic substitution patterns. Second,...

The standard Berry, Levinsohn, and Pakes (1995) (BLP) approach to estimation of demand and supply parameters assumes that the product characteristic observed by consumers and producers but not the researcher is conditionally mean independent of observed characteristics. We extend BLP to allow...

This paper develops a partial-identification methodology for analyzing self-selection into alternative compensation schemes in a laboratory environment. We formulate a model of self-selection in which individuals select the compensation scheme with the largest expected valuation, which depends...

With count-valued outcomes y in {0,1,...,M} identification and estimation of average treatment effects raise no special considerations beyond those involved in the continuous-outcome case. If partial identification of the distribution of treatment effects is of interest, however, count-valued...

We use national physician-pair panel data to examine how switching electronic health record (EHR) developers affects out-of-network referrals from primary care physicians (PCPs) to specialists. We estimate a difference-in-differences model, exploiting changes in EHR developer adoption by...

The relationship between completed education and adult cognition is investigated using data from the Indonesia Family Life Survey. We compare adult siblings to account for shared, difficult-to-measure characteristics that likely affect this relationship, including genetics and parental...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...

Empirical research in economics often examines the behavior of agents located in a geographic space. In such cases, statistical inference is complicated by the interdependence of economic outcomes across locations. A common approach to account for this dependence is to cluster standard errors...

We study the effects of job-protected leave policies on intergenerational mobility, long-run child outcomes, and parental decisions (labor market, investments in children, and fertility). We merge rich sources of historical information on family leave policies across the United States since 1973...

Employment and participation rates for US prime age women rose steadily during the second half of the 20th century. In the last 30 years, however, those rates stagnated, even as employment and participation rates for women in other industrialized countries continued to rise. I discuss the role...