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Wages, Mobility and Firm Performance

Advantages and Insights from Using Matched Worker–Firm Data

Bibliographic Data

ID9710539
AuthorsJohn M Abowd (0000-0002-0998-4531, Cornell University, U.S. Census Bureau, CREST, NBER, and IZA), Francis Kramarz (CREST, INSEE, CEPR and IZA), Roux (0000-0002-3676-0517, INSEE and CREST), Sébastien Roux (0000-0002-7794-4603, INSEE and CREST)
Year2006
Volume116
Issue512
PagesF245-F285
Publication date2006-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/j.1468-0297.2006.01099.x
OpenAlexW2031679640
LanguageEN
Citations received19
References cited20

To illustrate the wide applicability of longitudinal matched employer-employee data, we study the simultaneous determination of worker mobility and wage rates using an econometric model that allows for both individual and firm-level heterogeneity. The model is estimated using longitudinally linked employer-employee data from France. Structural results for mobility show remarkable heterogeneity with both positive and negative duration dependence present in a significant proportion of firms. The average structural returns to seniority are essentially zero, but this result masks enormous heterogeneity with positive seniority returns found in low starting-wage firms. Copyright 2006 Royal Economic Society

Census · Crest · Economics · Library science · Management · Media studies · Sociology · Computer Science · Demography · Firm Innovation and Growth · Labor market dynamics and wage inequality · Retirement, Disability, and Employment

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Unique citing works19
Citations per year1,06
Citation span2008 - 2026 (19)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 19

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