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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/10011494361

The effect of disability on labour market outcomes in Germany : evidence from matching

Lechner, Michael; Vazquez-Alvarez, Rosalia - 2003

improving the identification and estimation strategy. Using the German Socio Economic Panel (1984-2001) we estimate the impact …

Persistent link: https://www.econbiz.de/10010261660

Nonparametric IV Estimation of Local Average Treatment Effects with Covariates

Frölich, Markus - 2002

incorporate confounding covariates. Estimation of local average treatment effects is appealing since their identification relies … on much weaker assumptions than the identification of average treatment effects in other nonparametric instrumental …

Persistent link: https://www.econbiz.de/10010262665

What is the Value of Knowing the Propensity Score for Estimating Average Treatment Effects?

Frölich, Markus - 2002

Propensity score matching is widely used in treatment evaluation to estimate average treatment effects. Nevertheless, the role of the propensity score is still controversial. Since the propensity score is usually unknown and has to be estimated, the efficiency loss arising from not knowing the...

Persistent link: https://www.econbiz.de/10010262697

Programme Evaluation with Multiple Treatments

Frölich, Markus - 2002

This paper reviews the main identification and estimation strategies for microeconomic policy evaluation. Particular …. First, the main identification strategies (control-forconfounding-variables, difference-in difference, instrumental …-variable, and regressiondiscontinuity identification) are discussed in the multiple-programme setting. Thereafter, the different …

Persistent link: https://www.econbiz.de/10010262703

Statistical treatment choice: an application to active labour market programmes

Frölich, Markus - 2006

Choosing among a number of available treatments the most suitable for a given subject is an issue of everyday concern. A physician has to choose an appropriate drug treatment or medical treatment for a given patient, based on a number of observed covariates X and prior experience. A case worker...

Persistent link: https://www.econbiz.de/10010267863

Does the quality of training programs matter? Evidence from bidding processes data

Chong, Alberto; Galdo, Jose - 2006

. The identification of causal effects is possible because of two attractive features in the data. First, selection of …, the evaluation framework allows for the identification and comparison of individuals in treatment and comparison groups …

Persistent link: https://www.econbiz.de/10010267868

A note on parametric and nonparametric regression in the presence of endogenous control variables

Frölich, Markus - 2006

This note argues that nonparametric regression not only relaxes functional form assumptions vis-a-vis parametric regression, but that it also permits endogenous control variables. To control for selection bias or to make an exclusion restriction in instrumental variables regression valid,...

Persistent link: https://www.econbiz.de/10010268065

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 been derived only for particular cases (Abadie and Imbens, 2006). This article establishes a martingale representation for matching estimators. This representation allows the...

Persistent link: https://www.econbiz.de/10010269062

Identification and estimation of causal mechanisms and net effects of a treatment under unconfoundedness

Flores, Carlos A.; Flores-Lagunes, Alfonso - 2009

useful for policy purposes. We offer identification conditions based on an unconfoundedness assumption to estimate them …

Persistent link: https://www.econbiz.de/10010269294