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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/10010262703
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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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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/10010262665
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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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Chapter 75 The Econometrics of Data Combination
Ridder, Geert; Moffitt, Robert - In: Handbook of econometrics : volume 6B, (pp. 5469-5547). 2007
due to mismeasured variables. We consider sample merger by matching on identifiers that may be imperfect in the case that …
Persistent link: https://www.econbiz.de/10014024940
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A martingale representation for matching estimators
Abadie, Alberto; Imbens, Guido W. - 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/10010269062
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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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Nonparametric IV estimation of local average treatment effects with covariates
Frölich, Markus - 2002
Persistent link: https://www.econbiz.de/10001717623
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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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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