Arbeitspapier | Working paper
Where have all the data gone? Stochastic production frontiers with multiply imputed German establishment data
"In this paper, stochastic production frontier models are estimated with IAB establishment data from waves 2002 and 2003 to find important determinants of productivity and inefficiency. The data suffer from nonresponse in the most important variables (output, capital and labor) leading to the loss of 25% of the observations and possibly imprecise estimates and invalid test statistics. Therefore, the missing values are multiply imputed. Analyzes of the estimation results show that, particularly in the inefficiency submodel, working with multiply imputed data reveals some interesting and plausible results which are not available when ignoring missing observations." (author's abstract)
- Extent
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Seite(n): 27
- Language
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Englisch
- Bibliographic citation
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IAB Discussion Paper: Beiträge zum wissenschaftlichen Dialog aus dem Institut für Arbeitsmarkt- und Berufsforschung (15/2005)
- Subject
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Wirtschaft
Wirtschaftsstatistik, Ökonometrie, Wirtschaftsinformatik
Effizienz
Produktivität
Messung
Daten
Betrieb
Kalkulation
- Event
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Geistige Schöpfung
- (who)
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Jensen, Uwe
Rässler, Susanne
- Event
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Veröffentlichung
- (who)
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Institut für Arbeitsmarkt- und Berufsforschung der Bundesagentur für Arbeit (IAB)
- (where)
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Deutschland, Nürnberg
- (when)
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2005
- URN
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urn:nbn:de:0168-ssoar-323497
- Rights
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GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
- Last update
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21.06.2024, 4:27 PM CEST
Data provider
This object is provided by:
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln. If you have any questions about the object, please contact the data provider.
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Jensen, Uwe
- Rässler, Susanne
- Institut für Arbeitsmarkt- und Berufsforschung der Bundesagentur für Arbeit (IAB)
Time of origin
- 2005
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Where have all the data gone? Stochastic production frontiers with multiply imputed German establishment data
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Measuring overeducation with earnings frontiers and multiply imputed censored income data
Measuring overeducation with earnings frontiers and multiply imputed censored income data
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Addressing health disparities using multiply imputed injury surveillance data
New methods for generating significance levels from multiply-imputed data
Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality
Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality
Validation of prediction models based on lasso regression with multiply imputed data
Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality
Where have all the data gone? Stochastic production frontiers with multiply imputed German establishment data
Where have all the data gone? Stochastic production frontiers with multiply imputed German establishment data
Stochastic production frontiers with multiply imputed German establishment data
Measuring overeducation with earnings frontiers and multiply imputed censored income data
Measuring overeducation with earnings frontiers and multiply imputed censored income data
Measuring overeducation with earnings frontiers and multiply imputed censored income data
Addressing health disparities using multiply imputed injury surveillance data
New methods for generating significance levels from multiply-imputed data
Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality
Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality
Validation of prediction models based on lasso regression with multiply imputed data