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Programme evaluation with multiple treatments
Frölich, Markus - 2002
This paper reviews the main identification and estimation strategies for microeconomic policy evaluation. Particular … nonparametric matching and weighting estimators of the average treatment effects and their properties are examined. …
Persistent link: https://www.econbiz.de/10011412411
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What is the value of knowing the propensity score of estimating average treatment effects
Frölich, Markus - 2002
Propensity score matching is widely used in treatment evaluation to estimate average treatment effects. Nevertheless …
Persistent link: https://www.econbiz.de/10011412472
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Nonparametric IV estimation of local average treatment effects with covariates
Frölich, Markus - 2002
In this paper nonparametric instrumental variable estimation of local average treatment effects (LATE) is extended to incorporate confounding covariates. Estimation of local average treatment effects is appealing since their identification relies on much weaker assumptions than the...
Persistent link: https://www.econbiz.de/10011413605
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Including covariates in the regression discontinuity design
Frölich, Markus; Huber, Martin - 2017
This paper proposes a fully nonparametric kernel method to account for observed covariates in regression discontinuity designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates reduces the asymptotic variance and allows estimating the...
Persistent link: https://www.econbiz.de/10011760113
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A martingale representation for matching estimators
Abadie, Alberto; Imbens, Guido - 2009
Matching estimators are widely used in statistical data analysis. However, the distribution of matching estimators has … matching estimators. This representation allows the use of martingale limit theorems to derive the asymptotic distribution of … matching estimators. As an illustration of the applicability of the theory, we derive the asymptotic distribution of a matching …
Persistent link: https://www.econbiz.de/10003826104
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Quantile treatment effects in the regression discontinuity design : process results and gini coefficient
Frölich, Markus; Melly, Blaise - 2010
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
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Identification and estimation of causal mechanisms and net effects of a treatment under unconfoundedness
Flores, Carlos A.; Flores-Lagunes, Alfonso - 2009
An important goal when analyzing the causal effect of a treatment on an outcome is to understand the mechanisms through which the treatment causally works. We define a causal mechanism effect of a treatment and the causal effect net of that mechanism using the potential outcomes framework. These...
Persistent link: https://www.econbiz.de/10003858863
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The value of knowing the propensity score for estimating average treatment effects
Rothe, Christoph - 2016
In a treatment effect model with unconfoundedness, treatment assignments are not only independent of potential outcomes given the covariates, but also given the propensity score alone. Despite this powerful dimension reduction property, adjusting for the propensity score is known to lead to an...
Persistent link: https://www.econbiz.de/10011486511
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Inference on causal effects in a generalized Regression Kink Design
Card, David E.; Lee, David S.; Pei, Zhuan; Weber, Andrea - 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/10010467807
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Non-parametric inference for the effect of a treatment on survival times with application in the health and social sciences
DeLuna, Xavier; Johansson, Per - 2009
control group which are made comparable through matching on observed covariates. The inference is performed by conditioning on … ; heart transplant ; matching estimator ; observational study ; potential outcome ; survival function …
Persistent link: https://www.econbiz.de/10003801073