We consider the estimation of measures of persistent poverty in panel surveys with missing data, focusing on the persistent poverty headcount, its duration-adjusted variant, and a related measure used by the European Union as an indicator of the risk of persistent poverty. We develop a partial...

We assess empirically whether foreign official development assistance (ODA) has been effective in alleviating HIV/AIDS epidemics, which figures prominently among the Millennium Development Goals. We employ a difference-in-difference-in-differences approach to identify the treatment effect of ODA...

We assess empirically whether foreign official development assistance (ODA) has been effective in alleviating HIV/AIDS epidemics, which figures prominently among the Millennium Development Goals. We employ a difference-in-difference-in-differences approach to identify the treatment effect of ODA...

We assess empirically whether foreign official development assistance (ODA) has been effective in alleviating HIV/AIDS epidemics, which figures prominently among the Millennium Development Goals. We employ a difference-in-difference-in-differences approach to identify the treatment effect of ODA...

This paper identifies sharp bounds on the mean treatment response and average treatment effect under the assumptions of both concave monotone treatment response (concave-MTR) and monotone treatment selection (MTS). We use our bounds and the US National Longitudinal Survey of Youth to estimate...

Economists often analyze cross-sectional data to estimate the value people implicit place on attributes of goods using hedonic methods. Usually strong enough assumptions are made on the functional form of utility to point identify individuals' willingness-to-pay (WTP) for changes in attribute...

We estimate the effect of a shortening of unemployment benefit entitlements on unemployment duration. Previous studies on the same or related problems have not taken into account that the competing risks duration model is not identified and we shed first light on the question whether the non...

A key assumption in regression discontinuity analysis is that units cannot manipulate the value of their running variable in a way that guarantees or avoids assignment to the treatment. Standard identification arguments break down if this condition is violated. This paper shows that treatment...

In many applications of the differences-in-differences (DID) method, the treatment increases more in the treatment group, but some units are also treated in the control group. In such fuzzy designs, a popular estimator of treatment effects is the DID of the outcome divided by the DID of the...