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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. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...

Persistent link: https://www.econbiz.de/10012060603

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

Efficient counterfactual learning from bandit feedback

Narita, Yusuke; Yasui, Shota; Yata, Kohei - 2018

Persistent link: https://www.econbiz.de/10011948939

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

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...

Persistent link: https://www.econbiz.de/10012165548

Program evaluation and causal inference with high-dimensional data

Belloni, Alexandre; Chernozhukov, Victor; … - In: Econometrica : journal of the Econometric Society, an … 85 (2017) 1, pp. 233-298

Persistent link: https://www.econbiz.de/10011738490

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

Algorithm as experiment: machine learning, market design, and policy eligibility rules

Narita, Yusuke; Yata, Kohei - 2024

Persistent link: https://www.econbiz.de/10014539002

Algorithm is experiment : machine learning, market design, and policy eligibility rules

Narita, Yusuke; Yata, Kohei - 2021

Persistent link: https://www.econbiz.de/10014394217

Artificial intelligence : challenges and opportunities for international HRM : a review and research agenda

Budhwar, Pawan S.; Malik, Ashish; De Silva, M. T. Thedushika - In: International journal of human resource management 33 (2022) 6, pp. 1065-1097

Persistent link: https://www.econbiz.de/10013167797

Artificial intelligence, robotics, advanced technologies and human resource management : a systematic review

Vrontis, Demetris; Christofi, Michael; Pereira, Vijay; … - In: International journal of human resource management 33 (2022) 6, pp. 1237-1266

Persistent link: https://www.econbiz.de/10013167808

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