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  • Search: subject:"Optimal Full Matching"
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Year of publication
Subject
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optimal full matching 5 selection into treatment 4 Duration Analysis 3 Evaluation 3 Further Training 3 Optimal Full Matching 3 Schätzung 3 Bildungsertrag 2 Matching 2 Matching algorithms 2 Mikroökonometrie 2 Theorie 2 Vereinigte Staaten 2 matching algorithms 2 Arbeitsmarktpolitik 1 Berufsbildung 1 Betriebliches Bildungsmanagement 1 Dauer 1 Duration 1 Employer-provided training 1 Estimation 1 Further training 1 Impact assessment 1 Labour market policy 1 Langzeitarbeitslosigkeit 1 Long-term unemployment 1 Sachsen 1 Saxony 1 Vocational training 1 Weiterbildung 1 Wirkungsanalyse 1 duration analysis 1 evaluation 1 further training 1
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Online availability
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Free 7
Type of publication
All
Book / Working Paper 7 Article 1
Type of publication (narrower categories)
All
Working Paper 4 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 6 Undetermined 2
Author
All
Augurzky, Boris 4 Kluve, Jochen 4 Schultz, Birgit 4 Wiemers, Jürgen 4 Reinowski, Eva 3 Dettmann, Eva 1
Institution
All
Institut für Wirtschaftsforschung Halle (IWH) 1 Institute for the Study of Labor (IZA) 1 Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI) 1
Published in...
All
IWH Discussion Papers 2 IZA Discussion Papers 2 RWI Discussion Papers 2 IWH-Diskussionspapiere 1 Swiss Journal of Economics and Statistics (SJES) 1
Source
All
RePEc 4 EconStor 3 ECONIS (ZBW) 1
Showing 1 - 8 of 8
Cover Image
Evaluation of Further Training Programmes with an Optimal Matching Algorithm
Reinowski, Eva; Schultz, Birgit; Wiemers, Jürgen - In: Swiss Journal of Economics and Statistics (SJES) 141 (2005) IV, pp. 585-616
the employment history as a proxy for unobserved variables and to avoid Ashenfelters Dip. We employ an optimal full … matching assignment, which is superior to greedy pair matching in the sense that it avoids the loss of observations due to the …
Persistent link: https://www.econbiz.de/10005077305
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Assessing the performance of matching algorithms when selection into treatment is strong
Kluve, Jochen; Augurzky, Boris - Rheinisch-Westfälisches Institut für … - 2005
the type of algorithm.We implement optimal full matching – a fully efficient algorithm – and present a framework for …
Persistent link: https://www.econbiz.de/10005548364
Saved in:
Cover Image
Assessing the performance of matching algorithms when selection into treatment is strong
Augurzky, Boris; Kluve, Jochen - 2004
the type of algorithm.We implement optimal full matching – a fully efficient algorithm – and present a framework for …
Persistent link: https://www.econbiz.de/10010261026
Saved in:
Cover Image
Assessing the Performance of Matching Algorithms When Selection into Treatment Is Strong
Augurzky, Boris; Kluve, Jochen - 2004
the type of algorithm. We implement optimal full matching - a fully efficient algorithm - and present a framework for …
Persistent link: https://www.econbiz.de/10010262048
Saved in:
Cover Image
Evaluation of Further Training Programmes in Saxony from 1989 to 2001
Reinowski, Eva; Schultz, Birgit; Wiemers, Jürgen - 2004
unobservable characteristics and to avoid Ashenfelter’s Dip. To solve the sample selection problem we employ an optimal full … matching assignment, the Hungarian algorithm, using an aggregate distance measure. This procedure is superior to greedy pair …
Persistent link: https://www.econbiz.de/10011502862
Saved in:
Cover Image
Evaluation of Further Training Programmes with an Optimal Matching Algorithm
Reinowski, Eva; Schultz, Birgit; Wiemers, Jürgen - Institut für Wirtschaftsforschung Halle (IWH) - 2004
full matching assignment, the Hungarian algorithm. The impact of participation in further training is evaluated by … unobservable characteristics and to avoid Ashenfelter's Dip. In order to solve the sample selection problem we employ an optimal … the sample selection problem we employ an optimal full matching assignment, the Hungarian algorithm, using an aggregate …
Persistent link: https://www.econbiz.de/10005232590
Saved in:
Cover Image
Evaluation of further training programmes in Saxony from 1989 to 2001
Dettmann, Eva; Schultz, Birgit; Wiemers, Jürgen - 2004 - This version: December 2004
unobservable characteristics and to avoid Ashenfelter’s Dip. To solve the sample selection problem we employ an optimal full … matching assignment, the Hungarian algorithm, using an aggregate distance measure. This procedure is superior to greedy pair … the sample selection problem we employ an optimal full matching assignment, the Hungarian algorithm, using an aggregate …
Persistent link: https://www.econbiz.de/10011504691
Saved in:
Cover Image
Assessing the Performance of Matching Algorithms When Selection into Treatment Is Strong
Augurzky, Boris; Kluve, Jochen - Institute for the Study of Labor (IZA) - 2004
the type of algorithm. We implement optimal full matching – a fully efficient algorithm – and present a framework for …
Persistent link: https://www.econbiz.de/10005703588
Saved in:
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