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person:"Chen, Xiaohong"
type_genre:"Working Paper"
~isPartOf:"Discussion paper / Universität Sankt Gallen, School of Economics and Political Science, Department of Economics"
~person:"Lechner, Michael"
~person:"Pesaran, M. Hashem"
~subject:"Artificial intelligence"
~subject:"Impact assessment"
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Chen, Xiaohong
Lechner, Michael
Pesaran, M. Hashem
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Discussion paper / Universität Sankt Gallen, School of Economics and Political Science, Department of Economics
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Discussion paper / Universität St. Gallen, Volkswirtschaftliche Abteilung ; School of Economics and Political Science, Department of Economics
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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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2
Modified causal forests for estimating heterogeneous causal effects
Lechner, Michael
-
2019
Persistent link: https://www.econbiz.de/10012001311
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3
Machine learning estimation of heterogeneous causal effects : empirical Monte Carlo evidence
Knaus, Michael C.
;
Lechner, Michael
;
Strittmatter, Anthony
-
2018
Persistent link: https://www.econbiz.de/10012001308
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