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Business Dynamics in the National Establishment Time Series (NETS)/Leland Crane, Ryan Decker

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Abstract

Business microdata have proven useful in a number of fields, but the main sources of comprehensive microdata are subject to significant confidentiality restrictions. A growing number of papers instead use a private data source seeking to cover the universe of U.S. business establishments, the National Establishment Time Series (NETS). Previous research documents the representativeness of NETS in terms of the distribution of employment and establishment counts across industry, geography, and establishment size. But there exists considerable need among researchers for microdata suitable for studying business dynamics---birth, growth, decline, and death. We evaluate NETS in terms of its ability to corroborate key insights from the business dynamics literature with a particular focus on the behavior of new and young firms. We find that NETS microdata exhibit patterns of business dynamics that are markedly different from official administrative sources, limiting the usefuln ess of NETS for studying these topics.

Suggested Citation

  • Leland D. Crane & Ryan A. Decker, 2019. "Business Dynamics in the National Establishment Time Series (NETS)/Leland Crane, Ryan Decker," Finance and Economics Discussion Series 2019-034, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgfe:2019-34
    DOI: 10.17016/FEDS.2019.034
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    12. Keith Barnatchez & Leland D. Crane & Ryan A. Decker, 2017. "An Assessment of the National Establishment Time Series (NETS) Database," Finance and Economics Discussion Series 2017-110, Board of Governors of the Federal Reserve System (U.S.).
    13. Ron S Jarmin & Javier Miranda, 2002. "The Longitudinal Business Database," Working Papers 02-17, Center for Economic Studies, U.S. Census Bureau.
    14. Ryan A. Decker & John Haltiwanger & Ron S. Jarmin & Javier Miranda, 2018. "Changing Business Dynamism and Productivity : Shocks vs. Responsiveness," Finance and Economics Discussion Series 2018-007, Board of Governors of the Federal Reserve System (U.S.).
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    Cited by:

    1. Ezra Oberfield & Esteban Rossi-Hansberg & Pierre-Daniel Sarte & Nicholas Trachter, 2024. "Plants in Space," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 867-909.
      • Ezra Oberfield & Esteban Rossi-Hansberg & Nicholas Trachter & Pierre-Daniel Sarte, 2019. "Plants in Space," 2019 Meeting Papers 1507, Society for Economic Dynamics.
      • Ezra Oberfield & Esteban Rossi-Hansberg & Pierre-Daniel G. Sarte & Nicholas Trachter, 2020. "Plants in Space," Working Paper 20-05, Federal Reserve Bank of Richmond.
      • Ezra Oberfield & Esteban Rossi-Hansberg & Pierre-Daniel Sarte & Nicholas Trachter, 2020. "Plants in Space," NBER Working Papers 27303, National Bureau of Economic Research, Inc.
      • Rossi-Hansberg, Esteban & Oberfield, Ezra & Sarte, Pierre-Daniel & Trachter, Nicholas, 2020. "Plants in Space," CEPR Discussion Papers 14823, C.E.P.R. Discussion Papers.
    2. Sudheer Chava & Alexander Oettl & Manpreet Singh, 2023. "Does a One-Size-Fits-All Minimum Wage Cause Financial Stress for Small Businesses?," Management Science, INFORMS, vol. 69(11), pages 7095-7117, November.
    3. Li, Yang & Neffke, Frank M.H., 2024. "Evaluating the principle of relatedness: Estimation, drivers and implications for policy," Research Policy, Elsevier, vol. 53(3).
    4. repec:ags:aaea22:335481 is not listed on IDEAS
    5. Yang Li & Frank Neffke, 2022. "Relatedness in regional development: in search of the right specification," Papers in Evolutionary Economic Geography (PEEG) 2208, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Apr 2022.

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    More about this item

    Keywords

    Business Microdata; Economic Measurement; Entrepreneurship; Firm Dynamics; High-Growth Firms; Job Flows;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship

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