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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

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

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

Non-parametric inference for the effect of a treatment on survival times with application in the health and social sciences

Luna, Xavier de; Johansson, Per - 2009

In this paper we perform inference on the effect of a treatment on survival times in studies where the treatment assignment is not randomized and the assignment time is not known in advance. Two such studies are discussed: a heart transplant program and a study of Swedish unemployed eligible for...

Persistent link: https://www.econbiz.de/10010269367

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

Estimation of Dynamic Discrete Choice Models by Maximum Likelihood and the Simulated Method of Moments

Eisenhauer, Philipp; Heckman, James J.; Mosso, Stefano - 2014

We compare the performance of maximum likelihood (ML) and simulated method of moments (SMM) estimation for dynamic …

Persistent link: https://www.econbiz.de/10010435270

Estimation of Dynamic Discrete Choice Models by Maximum Likelihood and the Simulated Method of Moments

Eisenhauer, Philipp; Heckman, James J.; Mosso, Stefano - Institute for the Study of Labor (IZA) - 2014

We compare the performance of maximum likelihood (ML) and simulated method of moments (SMM) estimation for dynamic …

Persistent link: https://www.econbiz.de/10010959620

Estimation of Linear Models from Coarsened Observations: A Method of Moments Approach

van Praag, Bernard M. S.; Hop, J. Peter; Greene, William H. - 2025

single-equation models estimation of the latent linear model by Maximum Likelihood (ML) is routine. But, for higher …-dimensional multivariate models it is computationally cumbersome as estimation requires the evaluation of multivariate normal distribution … functions on a large scale. Our proposed alternative estimation method, based on the Generalized Method of Moments (GMM …

Persistent link: https://www.econbiz.de/10015338985

The Propensity Score: A Means to An End

Augurzky, Boris; Schmidt, Christoph M. - 2001

Propensity score matching is a prominent strategy to reduce imbalance in observational studies. However, if imbalance is considerable and the control reservoir is small, either one has to match one control to several treated units or, alternatively, discard many treated persons. The first...

Persistent link: https://www.econbiz.de/10010262475

Sensitivity of propensity score methods to the specifications

Zhao, Zhong - 2005

Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we...

Persistent link: https://www.econbiz.de/10010267689