Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/31922 
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dc.contributor.authorAndrews, Martyn J.en
dc.contributor.authorSchank, Thorstenen
dc.contributor.authorUpward, Richarden
dc.date.accessioned2005-09-08-
dc.date.accessioned2010-05-14T11:23:09Z-
dc.date.available2010-05-14T11:23:09Z-
dc.date.issued2004-
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
dc.language.isoengen
dc.publisher|aInstitut für Arbeitsmarkt- und Berufsforschung (IAB) |cNürnbergen
dc.relation.ispartofseries|aIAB-Discussion Paper |x3/2004en
dc.subject.jelC23en
dc.subject.jelC87en
dc.subject.jelJ30en
dc.subject.ddc330en
dc.subject.keywordIAB-Linked-Employer-Employee-Datensatzen
dc.subject.keywordSchätzungen
dc.subject.keywordDatenanalyseen
dc.subject.keywordSoftwareen
dc.subject.keywordstatistische Methodeen
dc.subject.stwMikroökonometrieen
dc.subject.stwPanelen
dc.subject.stwStatistik der Unternehmen und Arbeitsstättenen
dc.subject.stwArbeitsmarktstatistiken
dc.subject.stwSchätzungen
dc.subject.stwTheorieen
dc.subject.stwDeutschlanden
dc.titlePractical estimation methods for linked employer-employee data-
dc.type|aWorking Paperen
dc.identifier.ppn498003965en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:iab:iabdpa:200403en

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