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  • Search: subject:"modified causal forest"
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Year of publication
Subject
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causal machine learning 11 Artificial intelligence 10 Causality analysis 10 Kausalanalyse 10 Künstliche Intelligenz 10 Arbeitslosigkeit 8 Arbeitsmarktpolitik 8 Impact assessment 8 Labour market policy 8 Unemployment 8 Wirkungsanalyse 8 active labour market policy 8 conditional average treatment effects 8 modified causal forest 8 policy evaluation 7 Belgien 6 Belgium 6 Policy evaluation 4 Modified Causal Forest 3 Modified Causal Forest (MCF) 3 active labour market programmes 3 big data 3 conditional average treatment effect (CATE) 3 effect heterogeneity 3 sports economics 3 Big Data 2 Big data 2 Langzeitarbeitslosigkeit 2 Long-term unemployment 2 Sports economics 2 Sportökonomik 2 online dating 2 Online dating 1
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Online availability
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Free 14
Type of publication
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Book / Working Paper 14
Type of publication (narrower categories)
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Working Paper 14 Arbeitspapier 10 Graue Literatur 10 Non-commercial literature 10
Language
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English 14
Author
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Lechner, Michael 14 Bollens, Joost 8 Cockx, Bart 8 Boller, Daniel 3 Goller, Daniel 3 Harrer, Tamara 3 Okasa, Gabriel 3 Wolff, Joachim 3
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Published in...
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Discussion paper / Universität Sankt Gallen, School of Economics and Political Science, Department of Economics 3 Discussion paper series / IZA 3 IZA Discussion Papers 3 CESifo Working Paper 1 CESifo working papers 1 GSBE research memoranda 1 LIDAM discussion paper IRES 1 ROA research memorandum 1
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Source
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ECONIS (ZBW) 10 EconStor 4
Showing 1 - 10 of 14
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The Effect of Sport in Online Dating: Evidence from Causal Machine Learning
Boller, Daniel; Lechner, Michael; Okasa, Gabriel - 2021
Online dating emerged as a key platform for human mating. Previous research focused on socio-demographic characteristics to explain human mating in online dating environments, neglecting the commonly recognized relevance of sport. This research investigates the effect of sport activity on human...
Persistent link: https://www.econbiz.de/10012597405
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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
We investigate the effectiveness of three different job-search and training programmes for German long-term unemployed persons. On the basis of an extensive administrative data set, we evaluated the effects of those programmes on various levels of aggregation using Causal Machine Learning. We...
Persistent link: https://www.econbiz.de/10012658065
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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
We investigate the effectiveness of three different job-search and training programmes for German long-term unemployed persons. On the basis of an extensive administrative data set, we evaluated the effects of those programmes on various levels of aggregation using Causal Machine Learning. We...
Persistent link: https://www.econbiz.de/10012582220
Saved in:
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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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Cover Image
The effect of sport in online dating : evidence from causal machine learning
Boller, Daniel; Lechner, Michael; Okasa, Gabriel - 2021
Persistent link: https://www.econbiz.de/10012516890
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Cover Image
The effect of sport in online dating: evidence from causal machine learning
Boller, Daniel; Lechner, Michael; Okasa, Gabriel - 2021
Online dating emerged as a key platform for human mating. Previous research focused on socio-demographic characteristics to explain human mating in online dating environments, neglecting the commonly recognized relevance of sport. This research investigates the effect of sport activity on human...
Persistent link: https://www.econbiz.de/10012501209
Saved in:
Cover Image
Priority of Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium
Cockx, Bart; Lechner, Michael; Bollens, Joost - 2020
Based on administrative data of unemployed in Belgium, we estimate the labour market effects of three training programmes at various aggregation levels using Modified Causal Forests, a causal machine learning estimator. While all programmes have positive effects after the lock-in period, we find...
Persistent link: https://www.econbiz.de/10012227637
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Priority to unemployed immigrants? : a causal machine learning evaluation of training in Belgium
Cockx, Bart; Lechner, Michael; Bollens, Joost - 2020 - This version: May 2020
Persistent link: https://www.econbiz.de/10012243951
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Priority to unemployed immigrants? : a causal machine learning evaluation of training in Belgium
Cockx, Bart; Lechner, Michael; Bollens, Joost - 2020
Persistent link: https://www.econbiz.de/10012216299
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Cover Image
Priority to unemployed immigrants : a Causal machine learning evaluation of training in Belgium
Cockx, Bart; Lechner, Michael; Bollens, Joost - 2020
Based on administrative data of unemployed in Belgium, we estimate the labour market effects of three training programmes at various aggregation levels using Modified Causal Forests, a causal machine learning estimator. While all programmes have positive effects after the lock-in period, we find...
Persistent link: https://www.econbiz.de/10012219355
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