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Assessing the Performance of Matching Algorithms When Selection into Treatment Is Strong
Augurzky, Boris; Kluve, Jochen - 2004
This paper investigates the method of matching regarding two crucial implementation choices, the distance measure and the type of algorithm. We implement optimal full matching - a fully efficient algorithm - and present a framework for statistical inference. The implementation uses data from the...
Persistent link: https://www.econbiz.de/10010262048
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Assessing the performance of matching algorithms when selection into treatment is strong
Augurzky, Boris; Kluve, Jochen - In: Journal of applied econometrics 22 (2007) 3, pp. 533-557
Persistent link: https://www.econbiz.de/10003455473
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Assessing the performance of matching algorithms when selection into treatment is strong
Augurzky, Boris; Kluve, Jochen - 2004
This paper investigates the method of matching regarding two crucial implementation choices, the distance measure and the type of algorithm.We implement optimal full matching – a fully efficient algorithm – and present a framework for statistical inference. The implementation uses data from...
Persistent link: https://www.econbiz.de/10010261026
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Assessing the performance of matching algorithms when selection into treatment is strong
Augurzky, Boris (contributor); Kluve, Jochen (contributor) - 2004 - [Elektronische Ressource]
This paper investigates the method of matching regarding two crucial implementation choices, the distance measure and the type of algorithm. We implement optimal full matching - a fully efficient algorithm - and present a framework for statistical inference. The implementation uses data from the...
Persistent link: https://www.econbiz.de/10002243641