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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

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/10010269846

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

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

Quantile treatment effects in the regression discontinuity design

Frölich, Markus; Melly, Blaise - 2008

This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design (RDD) and proposes simple estimators. Quantile treatment effects are a very helpful tool to characterize the effects of certain interventions on the outcome distribution. The...

Persistent link: https://www.econbiz.de/10010268551

Partial distributional policy effects

Rothe, Christoph - 2011

In this paper, we propose a method to evaluate the effect of a counterfactual change in the unconditional distribution of a single covariate on the unconditional distribution of an outcome variable of interest. Both fixed and infinitesimal changes are considered. We show that such effects are...

Persistent link: https://www.econbiz.de/10010282458

Dynamic Treatment Assignment : The Consequences for Evaluations Using Observational Data

Fredriksson, Peter; Johansson, Per - 2004

This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a … suggest easy-to-use nonparametric survival function matching estimators. These estimators can be used to estimate the time …

Persistent link: https://www.econbiz.de/10010261825

Evaluation of Active Labour Market Policy: Methodological Concepts and Empirical Estimates

Hujer, Reinhard; Caliendo, Marco - 2000

explain the need for evaluation on the micro- and macroeconomic level, introduce the fundamental evaluation problem and … solutions to it, give an overview of the newer developments in evaluation literature and finally take a look on empirical …

Persistent link: https://www.econbiz.de/10010262444

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/10010269294

Evaluating nonexperimental estimators for multiple treatments: evidence from experimental data

Flores, Carlos A.; Mitnik, Oscar A. - 2009

This paper assesses the effectiveness of unconfoundedness-based estimators of mean effects for multiple or multivalued treatments in eliminating biases arising from nonrandom treatment assignment. We evaluate these multiple treatment estimators by simultaneously equalizing average outcomes among...

Persistent link: https://www.econbiz.de/10010271265

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