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This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...
Persistent link: https://www.econbiz.de/10003975413
using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions …
Persistent link: https://www.econbiz.de/10003561663
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controls using Lasso and related methods. We develop estimation and inference methods for the average treatment effect in this … setting, proposing a novel "post double selection" method that provides attractive inferential and estimation properties. In … account for the impact of selection errors on estimation and inference. In order to cover typical applications in economics …
Persistent link: https://www.econbiz.de/10009419338
We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard …
Persistent link: https://www.econbiz.de/10011453442
We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard …
Persistent link: https://www.econbiz.de/10011492188
Building on previous literature, we assess when foreign aid is effective in fighting terrorism using quantile regressions on a panel of 78 developing countries for the period 1984-2008. Bilteral, multilateral and total aid indicators are used whereas terrorism includes: domestic, transnational,...
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