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type_genre:"Hochschulschrift"
~isPartOf:"Discussion paper / Universität Sankt Gallen, School of Economics and Political Science, Department of Economics"
~person:"Goller, Daniel"
~subject:"Arbeitsmarktpolitik"
~type_genre:"Conference paper"
~type_genre:"Working Paper"
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Arbeitsmarktpolitik
Causality analysis
2
Impact assessment
2
Kausalanalyse
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Labour market policy
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Langzeitarbeitslosigkeit
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Long-term unemployment
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active labour market policy
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active labour market programmes
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causal machine learning
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conditional average treatment effect (CATE)
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propensity score
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radius matching
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treatment effects
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Goller, Daniel
Lechner, Michael
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Strittmatter, Anthony
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Wolff, Joachim
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Bollens, Joost
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Cockx, Bart
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Frölich, Markus
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Harrer, Tamara
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Huber, Martin
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Knaus, Michael C.
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Moczall, Andreas
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Discussion paper / Universität Sankt Gallen, School of Economics and Political Science, Department of Economics
Discussion paper series / IZA
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IAB discussion paper : Beiträge zum wissenschaftlichen Dialog aus dem Institut für Arbeitsmarkt- und Berufsforschung
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Active labour market policies for the long-term unemployed : new evidence from causal machine learning
Goller, Daniel
;
Harrer, Tamara
;
Lechner, Michael
; …
-
2021
Persistent link: https://www.econbiz.de/10012610544
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2
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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