Geographic disparities in mortality rates in the US are pronounced and growing. The Black-White mortality gap is volatile but persistent, while the Rich-Poor mortality gap is increasing dramatically. While the causes of these inequalities are not understood, recent attention has focused on the...

Geographic disparities in mortality rates in the US are pronounced and growing. The Black-White mortality gap is volatile but persistent, while the Rich-Poor mortality gap is increasing dramatically. While the causes of these inequalities are not understood, recent attention has focused on the...

It is increasingly common in empirical research to merge data sets containing different units of observation. When the units are not nested, a crosswalk specifying how the units from one data source are allocated to the units of the other is needed. Unfortunately, most crosswalks are ad hoc, a...

It is increasingly common in empirical research to merge data sets containing different units of observation. When the units are not nested, a crosswalk specifying how the units from one data source are allocated to the units of the other is needed. Unfortunately, most crosswalks are ad hoc, a...

We examine economic mobility in India while accounting for misclassification to better understand the welfare e§ects of the rise in inequality. To proceed, we extend recently developed methods on the partial identification of transition matrices. Allowing for modest misclassification, we find...

The importance of place of birth or residence on a host of economic outcomes cannot be overstated. The treatment of households in consumer bankruptcy appears to be no different. Despite the U.S. Bankruptcy Code being federal law, there is extreme geographic variation in the relative use of the...

In linear regression models, measurement error in a covariate causes Ordinary Least Squares (OLS) to be biased and inconsistent. Instrumental Variables (IV) is a common solution. While IV is also biased, it is consistent. Here, we undertake an asymptotic comparison of OLS and IV in the case...

Across many disciplines, the fixed effects estimator of linear panel data models is the default method to estimate causal effects with nonexperimental data that are not confounded by time-invariant, unit-specific heterogeneity. One feature of the fixed effects estimator, however, is often...