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Employer-to-Employer Flows in the United States: Estimates Using Linked Employer-Employee Data

Author

Listed:
  • Melissa Bjelland
  • Bruce Fallick
  • John Haltiwanger
  • Erika McEntarfer

Abstract

We use administrative data linking workers and firms to study employer-to-employer (E-to-E) flows. After discussing how to identify such flows in quarterly data, we investigate their basic empirical patterns. We find that the pace of E-to-E flows is high, representing approximately 4% of employment and 30% of separations each quarter. The pace of E-to-E flows appears to be highly procyclical and varies systematically across worker, job, and employer characteristics. There are rich patterns in terms of origin and destination of industries. Somewhat surprisingly, we find that more than half of the workers making E-to-E transitions switch even broadly defined industries (i.e., NAICS supersectors).

Suggested Citation

  • Melissa Bjelland & Bruce Fallick & John Haltiwanger & Erika McEntarfer, 2011. "Employer-to-Employer Flows in the United States: Estimates Using Linked Employer-Employee Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(4), pages 493-505, October.
    • Handle: RePEc:taf:jnlbes:v:29:y:2011:i:4:p:493-505
    DOI: 10.1198/jbes.2011.08053
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    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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