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Business Applications as a Leading Economic Indicator?

Author

Listed:
  • Jose Asturias
  • Emin Dinlersoz
  • John C. Haltiwanger
  • Rebecca J. Hutchinson
  • Alyson Plumb

Abstract

How are applications to start new businesses related to aggregate economic activity? This paper explores the properties of three monthly business application series from the U.S. Census Bureau’s Business Formation Statistics as economic indicators: all business applications, business applications that are relatively likely to turn into new employer businesses (“likely employers”), and the residual series -- business applications that have a relatively low rate of becoming employers (“likely non-employers”). Growth in applications for likely employers significantly leads total nonfarm employment growth and has a strong positive correlation with it. Furthermore, growth in applications for likely employers leads growth in most of the monthly Principal Federal Economic Indicators (PFEIs). Motivated by our findings, we estimate a dynamic factor model (DFM) to forecast nonfarm employment growth over a 12-month period using the PFEIs and the likely employers series. The latter improves the model’s forecast, especially in the years following the turning points of the Great Recession and the COVID-19 pandemic. Overall, applications for likely employers are a strong leading indicator of monthly PFEIs and aggregate economic activity, whereas applications for likely non-employers provide early information about changes in increasingly prevalent self-employment activity in the U.S. economy.

Suggested Citation

  • Jose Asturias & Emin Dinlersoz & John C. Haltiwanger & Rebecca J. Hutchinson & Alyson Plumb, 2024. "Business Applications as a Leading Economic Indicator?," NBER Working Papers 33224, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:33224
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    1. is not listed on IDEAS
    2. repec:ags:aaea22:343903 is not listed on IDEAS
    3. Park, Timothy A. & Holmes, Marionette, 2024. "Innovative Business Practices and the Productivity of Rural Establishments: Identifying Frontier Performers," 2024 Annual Meeting, July 28-30, New Orleans, LA 343903, Agricultural and Applied Economics Association.
    4. Lucas, David S., 2024. "The effect of regime change on entrepreneurship: A real options approach with evidence from US gubernatorial elections," Journal of Business Venturing, Elsevier, vol. 39(4).
    5. John C. Haltiwanger, 2022. "Entrepreneurship during the COVID-19 Pandemic: Evidence from the Business Formation Statistics," Entrepreneurship and Innovation Policy and the Economy, University of Chicago Press, vol. 1(1), pages 9-42.
    6. Emin Dinlersoz & Can Dogan & Nikolas Zolas, 2024. "Starting Up AI," Working Papers 24-09, Center for Economic Studies, U.S. Census Bureau.
    7. Akcigit, Ufuk & Chhina, Raman & Cilasun, Seyit Mümin & Miranda, Javier & Serrano-Velarde, Nicolas & Ocakverdi, Eren, 2023. "Intuit QuickBooks Small Business Index: A New Employment Series for the US, Canada, and the UK," CEPR Discussion Papers 18402, C.E.P.R. Discussion Papers.

    More about this item

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship

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