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Klasyfikacja i analiza danych - teoria i zastosowania
Jajuga, Krzysztof (contributor); Walesiak, Marek (contributor) - 2010
Persistent link: https://www.econbiz.de/10008665535
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Klasyfikacja i analiza danych - teoria i zastosowania
Jajuga, Krzysztof (contributor) - 2006
Persistent link: https://www.econbiz.de/10003382088
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Klasyfikacja i analiza danych - teoria i zastosowania
Jajuga, Krzysztof (contributor); Walesiak, Marek (contributor) - 2011
Persistent link: https://www.econbiz.de/10009408894
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Estimating the impact of alternative multiple imputation methods on longitudinal wealth data : conference paper
Westermeier, Christian; Grabka, Markus M. - 2014
Statistical Analysis in surveys is often facing missing data. As case-wise deletion and single imputation prove to have undesired properties, multiple imputation remains as a measure to handle this problem. In a longitudinal study, where for some missing values past or future data points might...
Persistent link: https://www.econbiz.de/10010483239
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Identification and inference for econometric models : essays in honor of Thomas Rothenberg
Andrews, Donald W. K. (ed.); Rothenberg, Thomas J. (honouree) - 2005
Persistent link: https://www.econbiz.de/10002380727
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Econometric analysis of health data
Jones, Andrew M. (ed.); O'Donnell, Owen (contributor) - 2002
Persistent link: https://www.econbiz.de/10001631344
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Actes des Journées de Méthodologie Statistique : 11 et 12 décembre 1996
1997
Persistent link: https://www.econbiz.de/10000970789
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Unobservable, but unimportant? : the influence of personality traits (and other usually unobserved variables) for the estimation of treatment effects ; conference paper
Caliendo, Marco; Mahlstedt, Robert; Mitnik, Oscar A. - 2014 - Preliminary version, this draft: February 28, 2014
A large and highly used number of treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non testable. When evaluating the effects of labor market policies, researchers need to observe both variables that affect treatment...
Persistent link: https://www.econbiz.de/10010487253
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Decomposing a matching estimation : correlated unobserved non-random selection, substitution, and causal effects in a large scale ALMP Program in Germany ; conference paper
Brändle, Tobias; Fervers, Lukas; Webel, Carina - 2014 - Preliminary version
perform matching estimations to analyse the treatment effect on the treated. In the cross-section estimation, we find …-participants. Therefore, we combine matching with difference-in-difference estimation (to control for unobserved heterogeneity), Doing so, we … matching estimation can be decomposed into a causal effect (6%-points), correlated unobserved heterogeneity and negative spill …
Persistent link: https://www.econbiz.de/10010487257
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On model uncertainty and its statistical implications : proceedings of a workshop, held in Groningen, The Netherlands, September 25 - 26, 1986
Dijkstra, Theo K. (ed.); Dykstra, Theo K. (ed.) - 1988
Persistent link: https://www.econbiz.de/10000421408