Causal effects are usually estimated under the assumption of no interference between individuals. This assumption means that the potential outcomes for one individual are unaffected by the treatments received by other individuals. In many situations, this is not reasonable to assume. Moreover,...

The Moving to Opportunity (MTO) experiment randomly assigned housing vouchers that could be used in low-poverty neighborhoods. Consistent with the literature, I find that receiving an MTO voucher had no effect on outcomes like earnings, employment, and test scores. However, after studying the...

By using a unique dataset on managerial-level employees who were transferred from Japan to European branches of the same global firms, we examine what would happen to work hours when a worker moves from a long-hour-working country to relatively shorter-hour countries. Even after controlling for...

Using a rich Italian cross-sectional dataset, we estimate the effect of a neighborhood problems aggregate (including pollution, crime, and noise) on self-assessed health, presence of chronic conditions and limitations in daily activities. We address the self-selection of the residents in their...

By using a unique dataset on managerial-level employees who were transferred from Japan to European branches of the same global firms, we examine what would happen to work hours when a worker moves from a long-hour-working country to relatively shorter-hour countries. Even after controlling for...

We present a model of neighborhood effects in wage payment delays. Positive feedback arises because each employer’s arrears affect the late payment costs faced by other firms in the same local labor market, resulting in a strategic complementarity in the practice. The model is estimated on...

We analyze a model of wage delay in which strategic complementarity arises because each employer's costs of violating its contracts decrease with the arrears in its labor market. The model is estimated on panel data for workers and firms in Russia, facilitating identification through fixed...

Our research examines how individual and community factors influence the average length of poverty spells. We measure local economic conditions by the county unemployment rate and neighborhood spillover effects by the racial makeup and poverty rate of the county. We find that moving an...

In the formulation of hedonic models, in addition to locational factors and building structures which affect the house prices, the generation of the omitted variable bias is thought to occur in cases when local environmental variables and the individual characteristics of house buyers are not...