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Sequential causal models for the evaluation of labor market programs
Lechner, Michael - In: Journal of business & economic statistics : JBES ; a … 27 (2009) 1, pp. 71-83
Persistent link: https://www.econbiz.de/10003805428
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Policy discontinuity and duration outcomes
Berg, Gerard J. van den; Bozio, Antoine; Dias, Mónica Costa - In: Quantitative economics : QE ; journal of the … 11 (2020) 3, pp. 871-916
Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change if there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that...
Persistent link: https://www.econbiz.de/10012315701
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Dynamic treatment assignment : the consequences for evaluations using observational data
Fredriksson, Peter; Johansson, Per-Olov - In: Journal of business & economic statistics : JBES ; a … 26 (2008) 4, pp. 435-445
Persistent link: https://www.econbiz.de/10003772281
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Should instrumental variables be used as matching variables?
Wooldridge, Jeffrey M. - In: Research in economics : an international review of economics 70 (2016) 2, pp. 232-237
Persistent link: https://www.econbiz.de/10011631136
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Programme evaluation with multiple treatments
Frölich, Markus - In: Journal of economic surveys 18 (2004) 2, pp. 181-223
Persistent link: https://www.econbiz.de/10002010900
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Decomposing a matching estimation : correlated unobserved non-random selection, substitution, and causal effects in a large scale ALMP Program in Germany ; conference paper
Brändle, Tobias; Fervers, Lukas; Webel, Carina - 2014 - Preliminary version
perform matching estimations to analyse the treatment effect on the treated. In the cross-section estimation, we find …-participants. Therefore, we combine matching with difference-in-difference estimation (to control for unobserved heterogeneity), Doing so, we … matching estimation can be decomposed into a causal effect (6%-points), correlated unobserved heterogeneity and negative spill …
Persistent link: https://www.econbiz.de/10010487257
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Does the estimation of the propensity score by machine learning improve matching estimation? : the case of Germany's programmes for long term unemployed
Goller, Daniel; Lechner, Michael; Moczall, Andreas; … - In: Labour economics : official journal of the European … 65 (2020)
Persistent link: https://www.econbiz.de/10012522902
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Using matching, instrumental variables, and control functions to estimate economic choice models
Heckman, James J.; Navarro-Lozano, Salvador - In: The review of economics and statistics 86 (2004) 1, pp. 30-57
Persistent link: https://www.econbiz.de/10002017287
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Inference on causal effects in a generalized regression kink design
Card, David E.; Lee, David S.; Pei, Zhuan; Weber, Andrea - In: Econometrica : journal of the Econometric Society, an … 83 (2015) 6, pp. 2453-2483
Persistent link: https://www.econbiz.de/10011431547
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Nonparametric estimation of causal effects in observational studies
Barros, Ricardo Paes de - In: Brazilian review of econometrics : BRE ; the review of … 30 (2010) 2, pp. 229-260
Persistent link: https://www.econbiz.de/10009705485