In this article we propose a variance estimator for the OLS estimator as well as for nonlinear estimators such as logit, probit, and GMM. This variance estimator enables cluster-robust inference when there is two-way or multiway clustering that is nonnested. The variance estimator extends the...

Researchers have increasingly realized the need to account for within-group dependence in estimating standard errors of regression parameter estimates. The usual solution is to calculate cluster-robust standard errors that permit heteroskedasticity and within-cluster error correlation, but...

In this paper we estimate the causal effects on child mortality from moving into less distressed neighborhood environments. We match mortality data covering the period from 1997 to 2009 with information on every child in public housing that applied for a housing voucher in Chicago in 1997...

In this paper, we examine how business cycles affect labor market outcomes in the United States. We conduct a detailed analysis of how cycles affect outcomes differentially across persons of differing age, education, race, and gender, and we compare the cyclical sensitivity during the Great...

We consider statistical inference for regression when data are grouped into clusters, with regression model errors independent across clusters but correlated within clusters. Examples include data on individuals with clustering on village or region or other category such as industry, and...

This study examines the link between income and living arrangements. Our identification comes from exploiting a discontinuity in age in the benefit formula for the social pension in South Africa. In contrast to previous literature, we find no association between pension income and elderly...