IDEAS home Printed from https://ideas.repec.org/p/cen/wpaper/12-27.html
   My bibliography  Save this paper

Do SBA Loans Create Jobs? Estimates from Universal Panel Data and Longitudinal Matching Methods

Author

Listed:
  • J. David Brown
  • John S. Earle

Abstract

This pape reports estimates of the effects of the Small Business Administration (SBA) 7(a) and 504 loan programs on employment. The database links a complete list of all SBA loans in these programs to universal data on all employers in the U.S. economy from 1976 to 2010. Our method is to estimate firm fixed effect regressions using matched control groups for the SBA loan recipients we have constructed by matching exactly on firm age, industry, year, and pre-loan size, plus kernel-based matching on propensity scores estimated as a function of four years of employment history and other variables. The results imply positive average effects on loan recipient employment of about 25 percent or 3 jobs at the mean. Including loan amount, we find little or no impact of loan receipt per se, but an increase of about 5.4 jobs for each million dollars of loans. When focusing on loan recipients and control firms located in high-growth counties (average growth of 22 percent), places where most small firms should have excellent growth potential, we find similar effects, implying that the estimates are not driven by differential demand conditions across firms. Results are also similar regardless of distance of control from recipient firms, suggesting only a very small role for displacement effects. In all these cases, the results pass a "pre-program" specification test, where controls and treated firms look similar in the pre-loan period. Other specifications, such as those using only matching or only regression imply somewhat higher effects, but they fail the pre-program test.

Suggested Citation

  • J. David Brown & John S. Earle, 2012. "Do SBA Loans Create Jobs? Estimates from Universal Panel Data and Longitudinal Matching Methods," Working Papers 12-27, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:12-27
    as

    Download full text from publisher

    File URL: https://www2.census.gov/ces/wp/2012/CES-WP-12-27.pdf
    File Function: First version, 2012
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jonathan A. Parker, 2011. "On Measuring the Effects of Fiscal Policy in Recessions," Journal of Economic Literature, American Economic Association, vol. 49(3), pages 703-718, September.
    2. Jonathan A. Parker & Nicholas S. Souleles & David S. Johnson & Robert McClelland, 2013. "Consumer Spending and the Economic Stimulus Payments of 2008," American Economic Review, American Economic Association, vol. 103(6), pages 2530-2553, October.
    3. James Heckman & Lance Lockner & Christopher Taber, 1999. "Human capital formation and general equilibrium treatment effects: a study of tax and tuition policy," Fiscal Studies, Institute for Fiscal Studies, vol. 20(1), pages 25-40, March.
    4. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    5. John Haltiwanger & Ron S. Jarmin & Javier Miranda, 2010. "Who Creates Jobs? Small vs. Large vs. Young," Working Papers 10-17, Center for Economic Studies, U.S. Census Bureau.
    6. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    7. David Neumark & Brandon Wall & Junfu Zhang, 2011. "Do Small Businesses Create More Jobs? New Evidence for the United States from the National Establishment Time Series," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 16-29, August.
    8. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    9. Ron S Jarmin & Javier Miranda, 2002. "The Longitudinal Business Database," Working Papers 02-17, Center for Economic Studies, U.S. Census Bureau.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sebastian Schich, 2018. "To What Extent Do Public Authorities Verify the Cost-Effectiveness of Guarantees for Credit to SMEs?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(1), pages 69-86, March.

    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. Brown, J. David & Earle, John S., 2013. "Do SBA Loans Create Jobs?," IZA Discussion Papers 7544, Institute of Labor Economics (IZA).
    2. J. David Brown & John S. Earle, 2017. "Finance and Growth at the Firm Level: Evidence from SBA Loans," Journal of Finance, American Finance Association, vol. 72(3), pages 1039-1080, June.
    3. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    4. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    5. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    6. Jasmin Kantarevic & Boris Kralj, 2013. "Link Between Pay For Performance Incentives And Physician Payment Mechanisms: Evidence From The Diabetes Management Incentive In Ontario," Health Economics, John Wiley & Sons, Ltd., vol. 22(12), pages 1417-1439, December.
    7. Hottenrott, Hanna & Lopes-Bento, Cindy, 2014. "(International) R&D collaboration and SMEs: The effectiveness of targeted public R&D support schemes," Research Policy, Elsevier, vol. 43(6), pages 1055-1066.
    8. Donald, Stephen G. & Hsu, Yu-Chin, 2014. "Estimation and inference for distribution functions and quantile functions in treatment effect models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 383-397.
    9. Abhijit V. Banerjee & Esther Duflo, 2009. "The Experimental Approach to Development Economics," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 151-178, May.
    10. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
    11. Lechner, Michael & Wunsch, Conny, 2013. "Sensitivity of matching-based program evaluations to the availability of control variables," Labour Economics, Elsevier, vol. 21(C), pages 111-121.
    12. Jason Abrevaya & Yu-Chin Hsu & Robert P. Lieli, 2015. "Estimating Conditional Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 485-505, October.
    13. Brown, J. David & Earle, John S. & Morgulis, Yana, 2015. "Job Creation, Small vs. Large vs. Young, and the SBA," IZA Discussion Papers 9489, Institute of Labor Economics (IZA).
    14. Eva Dettmann & Jutta Günther, 2013. "Subsidized Vocational Training: Stepping Stone or Trap? Assessing Empirical Effects Using Matching Techniques," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(IV), pages 405-443, December.
    15. Yonatan Eyal, 2020. "Self-Assessment Variables as a Source of Information in the Evaluation of Intervention Programs: A Theoretical and Methodological Framework," SAGE Open, , vol. 10(1), pages 21582440198, January.
    16. Borra, Cristina & Iacovou, Maria & Sevilla, Almudena, 2012. "The effect of breastfeeding on children's cognitive and noncognitive development," Labour Economics, Elsevier, vol. 19(4), pages 496-515.
    17. Chabé-Ferret, Sylvain, 2015. "Analysis of the bias of Matching and Difference-in-Difference under alternative earnings and selection processes," Journal of Econometrics, Elsevier, vol. 185(1), pages 110-123.
    18. José M. Cansino & Antonio Sánchez-Braza & Nereyda Espinoza, 2018. "Evaluating the Impact of an Active Labour Market Policy on Employment: Short- and Long-Term Perspectives," Social Sciences, MDPI, vol. 7(4), pages 1-20, April.
    19. Dettmann, Eva & Günther, Jutta, 2009. "Subsidized Vocational Training: Stepping Stone or Trap? An Evaluation Study for East Germany," IWH Discussion Papers 21/2009, Halle Institute for Economic Research (IWH).
    20. Peter Z. Schochet & Ronald D'Amico & Jillian Berk & Nathan Wozny, "undated". "Methodological Notes Regarding the Impact Analysis," Mathematica Policy Research Reports 0b22093bbd87457c9ae4125d0, Mathematica Policy Research.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:12-27. See general information about how to correct material in RePEc.

    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 bibliographic 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.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.