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http://hdl.handle.net/10419/31922
  

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dc.contributor.authorAndrews, Martyn J.en_US
dc.contributor.authorSchank, Thorstenen_US
dc.contributor.authorUpward, Richarden_US
dc.date.accessioned2005-09-08en_US
dc.date.accessioned2010-05-14T11:23:09Z-
dc.date.available2010-05-14T11:23:09Z-
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/10419/31922-
dc.description.abstractMethods 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.en_US
dc.language.isoengen_US
dc.publisherIAB Nürnbergen_US
dc.relation.ispartofseriesIAB discussion paper 2004,3en_US
dc.subject.jelC23en_US
dc.subject.jelC87en_US
dc.subject.jelJ30en_US
dc.subject.ddc330en_US
dc.subject.keywordIAB-Linked-Employer-Employee-Datensatzen_US
dc.subject.keywordSchätzungen_US
dc.subject.keywordDatenanalyseen_US
dc.subject.keywordSoftwareen_US
dc.subject.keywordstatistische Methodeen_US
dc.subject.stwMikroökonometrieen_US
dc.subject.stwPanelen_US
dc.subject.stwStatistik der Unternehmen und Arbeitsstättenen_US
dc.subject.stwArbeitsmarktstatistiken_US
dc.subject.stwSchätzungen_US
dc.subject.stwTheorieen_US
dc.subject.stwDeutschlanden_US
dc.titlePractical estimation methods for linked employer-employee dataen_US
dc.typeWorking Paperen_US
dc.identifier.ppn498003965en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
Appears in Collections:IAB-Discussion Paper, Institut für Arbeitsmarkt- und Berufsforschung (IAB)

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