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From late to MTE : alternative methods for the evaluation of policy interventions
Cornelißen, Thomas; Dustmann, Christian; Raute, Anna; … - 2016
Persistent link: https://www.econbiz.de/10011524403
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Robust Confidence Intervals for Average Treatment Effects Under Limited Overlap
Rothe, Christoph - 2015
Estimators of average treatment effects under unconfounded treatment assignment are known to become rather imprecise if there is limited overlap in the covariate distributions between the treatment groups. But such limited overlap can also have a detrimental effect on inference, and lead for...
Persistent link: https://www.econbiz.de/10013029637
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Proxy Variables and Nonparametric Identification of Causal Effects
de Luna, Xavier - 2016
Proxy variables are often used in linear regression models with the aim of removing potential confounding bias. In this paper we formalise proxy variables within the potential outcome framework, giving conditions under which it can be shown that causal effects are nonparametrically identified....
Persistent link: https://www.econbiz.de/10012986751
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Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures
Firpo, Sérgio Pinheiro - 2010
This paper presents semiparametric estimators of distributional impacts of interventions (treatment) when selection to the program is based on observable characteristics. Distributional impacts of a treatment are calculated as differences in inequality measures of the potential outcomes of...
Persistent link: https://www.econbiz.de/10013146176
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The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation
Frölich, Markus - 2015
propensity scores, nonparametric regression, and direct covariate matching. In addition to (pair, radius, and kernel) matching … such as genetic matching, entropy balancing, and empirical likelihood estimation.We vary a range of features (sample size …. Nonparametric regression, nonparametric doubly robust estimation, nonparametric IPW, and one-to-many covariate matching perform best …
Persistent link: https://www.econbiz.de/10013029647
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Treatment Evaluation in the Case of Interactions within Markets
Ferracci, Marc - 2010
We extend the standard evaluation framework to allow for interactions between individuals within segmented markets. An individual's outcome depends not only on the assigned treatment status but also on (features of) the distribution of the assigned treatments in his market. To evaluate how the...
Persistent link: https://www.econbiz.de/10013148327
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Inference on Causal Effects in a Generalized Regression Kink Design
Card, David - 2015
We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of interest is a known, deterministic, but kinked function of an observed assignment variable. This design arises in many institutional settings where a policy variable (such as weekly...
Persistent link: https://www.econbiz.de/10013029646
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From Late to MTE : Alternative Methods for the Evaluation of Policy Interventions
Cornelißen, Thomas - 2016
This paper provides an introduction into the estimation of Marginal Treatment Effects (MTE). Compared to the existing surveys on the subject, our paper is less technical and speaks to the applied economist with a solid basic understanding of econometric techniques who would like to use MTE...
Persistent link: https://www.econbiz.de/10012986752
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Estimating Causal Effects of Alcohol Access and Use on a Broad Set of Risky Behaviors : Regression Discontinuity Evidence
Fletcher, Jason - 2018
A growing body of evidence suggests large increases in criminal behavior and mortality coinciding with a young adult's 21st birthday, when alcohol consumption becomes legal. The policy implications from these findings have focused on the need to reduce drinking among young people, potentially by...
Persistent link: https://www.econbiz.de/10012915177
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Sensitivity of matching-based program evaluations to the availability of control variables
Lechner, Michael; Wunsch, Conny - 2011
the question whether the omission of important control variables in matching estimation leads to biased impact estimates …
Persistent link: https://www.econbiz.de/10008989383