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Editing and multiply imputing German establishment panel data to estimate stochastic production frontier models

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  • Kölling, Arnd
  • Rässler, Susanne

    (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany])

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    Abstract

    "This paper illustrates the effects of item-nonresponse in surveys on the results of multivariate statistical analysis when estimation of productivity is the task. To multiply impute the missing data a data augmentation algorithm based on a normal/Wishart model is applied. Data of the German IAB Establishment Panel from waves 2000 and 2001 are used to estimate the establishment’s productivity. The processes of constructing, editing, and transforming the variables needed for the analyst’s as well as the imputer’s models are described. It is shown that standard multiple imputation techniques can be used to estimate sophisticated econometric models from large-scale panel data exposed to item-nonresponse. Basis of the empirical analysis is a stochastic production frontier model with labour and capital as input factors. The results show that a model of technical inefficiency is favoured compared to a case where we assume different production functions in East and West Germany. Also we see that the effect of regional setting on technical inefficiency increases when inference is based on multiply imputed data sets. This could have influence on the economic and regional policies in Germany in the future." (Author's abstract, IAB-Doku) ((en))

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    Bibliographic Info

    Paper provided by Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] in its series IAB Discussion Paper with number 200405.

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    Length: 34 pages
    Date of creation: 07 Oct 2004
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    Publication status: published in: Zeitschrift für ArbeitsmarktForschung 37 (2004), p. 306-318
    Handle: RePEc:iab:iabdpa:200405

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    Keywords: IAB-Betriebspanel; multivariate Analyse; Datenanalyse; Befragung; Unternehmen; Antwortverhalten; statistische Methode; Schätzung; regionale Disparität; Ökonometrie - Modell; technischer Fortschritt; Produktivität; Markov-Ketten; Monte-Carlo-Methode; Imputationsverfahren; Ostdeutschland; Westdeutschland; Bundesrepublik Deutschland;

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    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Joachim Ragnitz, 2001. "Produktivitätsrückstand der ostdeutschen Wirtschaft: Eine zusammenfassende Bewertung," Wirtschaft im Wandel, Halle Institute for Economic Research, vol. 7(7-8), pages 181-189.
    2. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    3. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
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    Cited by:
    1. Holger Alda & Lutz Bellmann & Hermann Gartner, 2009. "Wage Structure and Labor Mobility in the West German Private Sector, 1993-2000," NBER Chapters, in: The Structure of Wages: An International Comparison, pages 261-313 National Bureau of Economic Research, Inc.
    2. Jensen, Uwe & Rässler, Susanne, 2007. "The effects of collective bargaining on firm performance : new evidence based on stochastic production frontiers and multiply imputed German establishment data," IAB-Forschungsbericht 200703, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Rässler, Susanne, 2006. "Der Einsatz von Missing Data Techniken in der Arbeitsmarktforschung des IAB," IAB-Forschungsbericht 200618, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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