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Why do tougher caseworkers increase employment? : the role of programme assignment as a causal mechanism
Huber, Martin; Lechner, Michael; Mellace, Giovanni - 2014
Persistent link: https://www.econbiz.de/10010437535
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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; … - 2019
Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation … of average treatment effects on the treated using a radius matching framework. Considering two popular methods, the …
Persistent link: https://www.econbiz.de/10012060603
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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; … - 2019
Persistent link: https://www.econbiz.de/10012098947
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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; … - 2020
Propensity Score Matching-Schätzer sind ein zentrales Tool, um Wirkungen aktiver Arbeitsmarktpolitik mit …Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation … of average treatment effects on the treated using a radius matching framework. Considering two popular methods, the …
Persistent link: https://www.econbiz.de/10012165548
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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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Testing conditional independence in macroeconomic policy evaluation for time series data
Fang, Ying; Lin, Ming; Tang, Shengfang; Cai, Zongwu - 2021
Persistent link: https://www.econbiz.de/10012663950
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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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How sensitive are matching estimates of active labor market policy effects to typically unobserved confounders?
Tübbicke, Stefan - In: Journal for labour market research 57 (2023) 1, pp. 1-16
) matching estimates of Active Labor Market Policies (ALMPs) based on the selection-on-observables assumption are to typically … confounders. However, results also show that matching on the PS using only typically observed covariates reduces imbalance in … matching approach based on rich and high quality administrative data appears to be sufficient to obtain estimates that are …
Persistent link: https://www.econbiz.de/10014366170
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Employment effect of innovation
Kancs, D'Artis; Siliverstovs, Boriss - 2015
The present paper estimates and decomposes the employment effect of innovation by R&D intensity levels. Our micro-econometric analysis is based on a large international panel data set from the EU Industrial R&D Investment Scoreboard. Employing flexible semi-parametric methods the generalised...
Persistent link: https://www.econbiz.de/10011983796