IDEAS home Printed from https://ideas.repec.org/p/cen/wpaper/19-34.html
   My bibliography  Save this paper

Nonemployer Statistics by Demographics (NES-D): Exploring Longitudinal Consistency and Sub-national Estimates

Author

Listed:
  • Adela Luque
  • Michaela Dillon
  • Julia Manzella
  • James Noon
  • Kevin Rinz
  • Victoria Udalova

Abstract

Until recently, the quinquennial Survey of Business Owners (SBO) was the only source of information for U.S. employer and nonemployer businesses by owner demographic characteristics such as race, ethnicity, sex and veteran status. Now, however, the Nonemployer Statistics by Demographics series (NES-D) will replace the SBO’s nonemployer component with reliable, and more frequent (annual) business demographic estimates with no additional respondent burden, and at lower imputation rates and costs. NES-D is not a survey; rather, it exploits existing administrative and census records to assign demographic characteristics to the universe of approximately 25 million (as of 2016) nonemployer businesses. Although only in the second year of its research phase, NES-D is rapidly moving towards production, with a planned prototype or experimental version release of 2017 nonemployer data in 2020, followed by annual releases of the series. After the first year of research, we released a working paper (Luque et al., 2019) that assessed the viability of estimating nonemployer demographics exclusively with administrative records (AR) and census data. That paper used one year of data (2015) to produce preliminary tabulations of business counts at the national level. This year we expand that research in multiple ways by: i) examining the longitudinal consistency of administrative and census records coverage, and of our AR-based demographics estimates, ii) evaluating further coverage from additional data sources, iii) exploring estimates at the sub-national level, iv) exploring estimates by industrial sector, v) examining demographics estimates of business receipts as well as of counts, and vi) implementing imputation of missing demographic values. Our current results are consistent with the main findings in Luque et al. (2019), and show that high coverage and demographic assignment rates are not the exception, but the norm. Specifically, we find that AR coverage rates are high and stable over time for each of the three years we examine, 2014-2016. We are able to identify owners for approximately 99 percent of nonemployer businesses (excluding C-corporations), 92 to 93 percent of identified nonemployer owners have no missing demographics, and only about 1 percent are missing three or more demographic characteristics in each of the three years. We also find that our demographics estimates are stable over time, with expected small annual changes that are consistent with underlying population trends in the U.S.. Due to data limitations, these results do not include C-corporations, which represent only 2 percent of nonemployer businesses and 4 percent of receipts. Without added respondent burden and at lower imputation rates and costs, NES-D will provide high-quality business demographics estimates at a higher frequency (annual vs. every 5 years) than the SBO.

Suggested Citation

  • Adela Luque & Michaela Dillon & Julia Manzella & James Noon & Kevin Rinz & Victoria Udalova, 2019. "Nonemployer Statistics by Demographics (NES-D): Exploring Longitudinal Consistency and Sub-national Estimates," Working Papers 19-34, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:19-34
    as

    Download full text from publisher

    File URL: https://www2.census.gov/ces/wp/2019/CES-WP-19-34.pdf
    File Function: First version, 2019
    Download Restriction: no

    References listed on IDEAS

    as
    1. Nathan Goldschlag & J. Daniel Kim & Kristin McCue, 2017. "Just Passing Through: Characterizing U.S. Pass-Through Business Owners," Working Papers 17-69, Center for Economic Studies, U.S. Census Bureau.
    2. John Haltiwanger & Ron S. Jarmin & Javier Miranda, 2013. "Who Creates Jobs? Small versus Large versus Young," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 347-361, May.
    3. J. David Brown & Misty L. Heggeness & Suzanne M. Dorinski & Lawrence Warren & Moises Yi, 2018. "Understanding the Quality of Alternative Citizenship Data Sources for the 2020 Census," Working Papers 18-38, Center for Economic Studies, U.S. Census Bureau.
    4. Pierre Azoulay & Benjamin F. Jones & J. Daniel Kim & Javier Miranda, 2020. "Age and High-Growth Entrepreneurship," American Economic Review: Insights, American Economic Association, vol. 2(1), pages 65-82, March.
    5. Adela Luque & Renuka Bhaskar, 2014. "2010 American Community Survey Match Study," CARRA Working Papers 2014-03, Center for Economic Studies, U.S. Census Bureau.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adela Luque & Renuka Bhaskar & James Noon & Kevin Rinz & Victoria Udalova, 2019. "Nonemployer Statistics by Demographics (NES-D): Using Administrative and Census Records Data in Business Statistics," Working Papers 19-01, Center for Economic Studies, U.S. Census Bureau.
    2. Pierre Azoulay & Benjamin F. Jones & J. Daniel Kim & Javier Miranda, 2020. "Age and High-Growth Entrepreneurship," American Economic Review: Insights, American Economic Association, vol. 2(1), pages 65-82, March.
    3. Tania Babina & Sabrina T. Howell, 2018. "Entrepreneurial Spillovers from Corporate R&D," NBER Working Papers 25360, National Bureau of Economic Research, Inc.
    4. Joonkyu Choi & Nathan Goldschlag & John Haltiwanger & J. Daniel Kim, 2019. "Founding Teams and Startup Performance," Working Papers 19-32, Center for Economic Studies, U.S. Census Bureau.
    5. 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.
    6. J. David Brown & John S. Earle & Mee Jung Kim & Kyung Min Lee, 2017. "High-Growth Entrepreneurship," Working Papers 17-53, Center for Economic Studies, U.S. Census Bureau.
    7. Mahieu, Jeroen, 2020. "Creative Destruction? Local Business Conditions and the Earnings of Employees at Startups," MPRA Paper 98557, University Library of Munich, Germany.
    8. Zheng, Liang & Zhao, Zhong, 2017. "What drives spatial clusters of entrepreneurship in China? Evidence from economic census data," China Economic Review, Elsevier, vol. 46(C), pages 229-248.
    9. 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.
    10. Leo Kaas & Philipp Kircher, 2015. "Efficient Firm Dynamics in a Frictional Labor Market," American Economic Review, American Economic Association, vol. 105(10), pages 3030-3060, October.
    11. Xing Guo, 2020. "Identifying Aggregate Shocks with Micro-level Heterogeneity: Financial Shocks and Investment Fluctuation," Staff Working Papers 20-17, Bank of Canada.
    12. Michael Redmond & Willem Van Zandweghe, 2016. "The Lasting Damage from the Financial Crisis to U.S. Productivity," Macro Bulletin, Federal Reserve Bank of Kansas City, pages 1-3, March.
    13. Oznur Ozdamar & Eleftherios Giovanis & Sahizer Samuk, 2020. "State business relations and the dynamics of job flows in Egypt and Turkey," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(4), pages 519-558, December.
    14. Max Nathan & Anna Rosso, 2017. "Innovative events," Development Working Papers 429, Centro Studi Luca d'Agliano, University of Milano, revised 08 Apr 2019.
    15. Alon, Titan & Berger, David & Dent, Robert & Pugsley, Benjamin, 2018. "Older and slower: The startup deficit’s lasting effects on aggregate productivity growth," Journal of Monetary Economics, Elsevier, vol. 93(C), pages 68-85.
    16. Hyo Kang & Lee Fleming, 2020. "Non‐competes, business dynamism, and concentration: Evidence from a Florida case study," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(3), pages 663-685, July.
    17. Da Silva Catela, Eva Yamila & Tumini, Lucía, 2017. "Factores asociados a las diferentes dimensiones de competitividad internacional de las empresas argentinas," Documentos de Proyectos 44131, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    18. Cristina Fernández & Roberta García & Paloma Lopez-Garcia & Benedicta Marzinotto & Roberta Serafini & Juuso Vanhala & Ladislav Wintr, 2017. "Firm growth in Europe: An overview based on the COMPNET labour module," BCL working papers 107, Central Bank of Luxembourg.
    19. Janghee Cho & Hyunbae Chun & Hongjun Kim & Yoonsoo Lee, 2017. "Job Creation and Destruction: New Evidence on the Role of Small Versus Young Firms in Korea," The Japanese Economic Review, Springer, vol. 68(2), pages 173-187, June.
    20. El-Mallakh, Nelly & Maurel, Mathilde & Speciale, Biagio, 2018. "Arab spring protests and women's labor market outcomes: Evidence from the Egyptian revolution," Journal of Comparative Economics, Elsevier, vol. 46(2), pages 656-682.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cen:wpaper:19-34. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dawn Anderson). General contact details of provider: http://edirc.repec.org/data/cesgvus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.