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The Promise and Potential of Linked Employer-Employee Data for Entrepreneurship Research

Author

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  • Christopher Goetz
  • Henry Hyatt
  • Erika McEntarfer
  • Kristin Sandusky

Abstract

In this paper, we highlight the potential for linked employer-employee data to be used in entrepreneurship research, describing new data on business start-ups, their founders and early employees, and providing examples of how they can be used in entrepreneurship research. Linked employer-employee data provides a unique perspective on new business creation by combining information on the business, workforce, and individual. By combining data on both workers and firms, linked data can investigate many questions that owner-level or firm-level data cannot easily answer alone - such as composition of the workforce at start-ups and their role in explaining business dynamics, the flow of workers across new and established firms, and the employment paths of the business owners themselves.

Suggested Citation

  • Christopher Goetz & Henry Hyatt & Erika McEntarfer & Kristin Sandusky, 2015. "The Promise and Potential of Linked Employer-Employee Data for Entrepreneurship Research," Working Papers 15-29, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:15-29
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    Cited by:

    1. Emin Dinlersoz & Henry Hyatt & Hubert Janicki, 2019. "Who Works for Whom? Worker Sorting in a Model of Entrepreneurship with Heterogeneous Labor Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 244-266, October.
    2. Emin Dinlersoz & Henry Hyatt & Hubert Janicki, 2019. "Who Works for Whom? Worker Sorting in a Model of Entrepreneurship with Heterogeneous Labor Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 244-266, October.
    3. Emin Dinlersoz & Henry Hyatt & Hubert Janicki, 2019. "Who Works for Whom? Worker Sorting in a Model of Entrepreneurship with Heterogeneous Labor Markets," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 244-266, October.
    4. Tania Babina & Wenting Ma & Christian Moser & Paige Ouimet & Rebecca Zarutskie, 2019. "Pay, Employment, and Dynamics of Young Firms," Working Papers 19-23, Center for Economic Studies, U.S. Census Bureau.
    5. Aguilera-Bravo, Asier & Casares, Miguel & Khan, Hashmat, 2022. "Did US business dynamism recover in the 2010s?," Economics Letters, Elsevier, vol. 211(C).
    6. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
    7. Kathryn Shaw & Anders Sørensen, 2019. "The Productivity Advantage of Serial Entrepreneurs," ILR Review, Cornell University, ILR School, vol. 72(5), pages 1225-1261, October.
    8. Mika Maliranta & Satu Nurmi, 2019. "Business owners, employees, and firm performance," Small Business Economics, Springer, vol. 52(1), pages 111-129, January.
    9. Lucia Foster & Patrice Norman, 2015. "The Annual Survey of Entrepreneurs: An Introduction," Working Papers 15-40r, Center for Economic Studies, U.S. Census Bureau.
    10. Lucia Foster & Patrice Norman, 2015. "The Annual Survey of Entrepreneurs: An Introduction," Working Papers 15-40, Center for Economic Studies, U.S. Census Bureau.
    11. Pawel Adrjan, 2018. "Risky Business? Earnings Prospects of Employees at Young Firms," Economics Series Working Papers 852, University of Oxford, Department of Economics.
    12. Robert Manduca, 2018. "The US Census Longitudinal Employer-Household Dynamics Datasets," REGION, European Regional Science Association, vol. 5, pages 5-12.

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    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship

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