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Long-run effects of dynamically assigned treatments : a new methodology and an evaluation of training effects on earnings
Berg, Gerard J. van den; Vikström, Johan - 2019
We propose and implement a new method to estimate treatment effects in settings where individuals need to be in a certain state (e.g. unemployment) to be eligible for a treatment, treatments may commence at different points in time, and the outcome of interest is realized after the individual...
Persistent link: https://www.econbiz.de/10012052339
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Long-run effects of dynamically assigned treatments : a new methodology and an evaluation of training effects on earnings
Berg, Gerard J. van den; Vikström, Johan - 2019
We propose and implement a new method to estimate treatment effects in settings where individuals need to be in a certain state (e.g. unemployment) to be eligible for a treatment, treatments may commence at different points in time, and the outcome of interest is realized after the individual...
Persistent link: https://www.econbiz.de/10012035113
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Program Evaluation and Random Program Starts
Fredriksson, Peter; Johansson, Per - 2002
This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a stochastic process. We show that, without additional assumptions, it is not possible to estimate the average treatment effect and treatment on the treated. It is, however,...
Persistent link: https://www.econbiz.de/10010321721
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Dynamic Treatment Assignment : The Consequences for Evaluations Using Observational Data
Fredriksson, Peter; Johansson, Per - 2004
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
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Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption
Lechner, Michael - 1999
the approach retains its basic simplicity. The paper also outlines a matching estimator potentially suitable in that …
Persistent link: https://www.econbiz.de/10010262311
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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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Program evaluation and random program starts
Fredriksson, Peter; Johansson, Per-Olov - 2003
This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a stochastic process. We show that, without additional assumptions, it is not possible to estimate the average treatment effect and treatment on the treated. It is, however,...
Persistent link: https://www.econbiz.de/10011514133
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mhbounds: Sensitivity Analysis for Average Treatment Effects
Becker, Sascha O.; Caliendo, Marco - 2007
Matching has become a popular approach to estimate average treatment effects. It is based on the conditional … matching estimators are not robust. We address this problem with the bounding approach proposed by Rosenbaum (2002), where … to undermine the implications of the matching analysis. …
Persistent link: https://www.econbiz.de/10010260893
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The impact of public R&D support on firms' patenting
Bye, Brita; Klemetsen, Marit; Raknerud, Arvid - 2019
We examine the impact of both R&D tax credits and direct R&D subsidies on Norwegian firms' patenting. Whereas direct subsidies are aimed at projects with low private and high social return, tax credits do not discriminate between projects or technologies. We find that both direct subsidies and...
Persistent link: https://www.econbiz.de/10012052296