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Practical estimation methods for linked employer-employee data Author info | Abstract | Publisher info | Download info | Related research | Statistics Andrews, Martyn
Schank, Thorsten
Upward, Richard
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"Methods for the analysis of linked employer-employee data are not yet available in standard econometrics packages. In this paper, we make the fixed-effects methods developed orginally by Abowd, Kramarz, Margolis and others more accessible, where possible, and show how they can be implemented in Stata. To illustrate these techniques, we give an example using German linked data. There is a caveat: when the number of plants is prohibitively large and the investigator wants to estimate the correlation between the worker and firm unobserved heterogeneities, the regression-based techniques discussed are not feasible. We also report an estimate of the correlation of zero. In this version of the paper, we replace our earlier Two-Step estimator by a Classical Minimum Distance estimator." (author's abstract, IAB-Doku) ((en))Additional Information
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Paper provided by Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] in its series IAB Discussion Paper with number
200403.
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Length: 42 pages
Date of creation: 23 Aug 2004Date of revision:
Handle: RePEc:iab:iabdpa:200403Contact details of provider: Postal: Regensburger Str. 104, D-90327 N�rnberg Phone: 0911/179-0 Fax: 0911/179-3258 Email: Web page: http://www.iab.de/ More information through EDIRC
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Keywords: IAB-Linked-Employer-Employee-Datensatz ; Schätzung ; Datenanalyse ; Software ; statistische Methode ; Other versions of this item:
Find related papers by JEL classification: C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
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Nicole Gürtzgen, 2006.
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Simon D. Woodcock, 2007.
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Other versions: Gürtzgen, Nicole, 2005.
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