IDEAS home Printed from https://ideas.repec.org/a/eee/jbfina/v96y2018icp73-86.html

Public guarantees to SME borrowing. A RDD evaluation

Author

Listed:
  • de Blasio, Guido
  • De Mitri, Stefania
  • D'Ignazio, Alessio
  • Finaldi Russo, Paolo
  • Stoppani, Lavinia

Abstract

The paper evaluates the impact of the guarantees provided by the Italian scheme Fondo di Garanzia on the access to credit for small and medium enterprises. The study exploits the mechanism that assigns the guarantees, which is based on a scoring system to assess eligibility. By using regression discontinuity techniques, the paper finds that, at the threshold between eligible and non-eligible firms, the program has a positive impact on bank loans to firms; however, the scheme has no impact on the interest rate charged by the banks, while it affects positively the likelihood that a firm becomes unable to repay its loans. The guaranteed loans are mostly used to finance working capital. Finally, the paper provides inference for far-from-the-threshold firms.

Suggested Citation

  • de Blasio, Guido & De Mitri, Stefania & D'Ignazio, Alessio & Finaldi Russo, Paolo & Stoppani, Lavinia, 2018. "Public guarantees to SME borrowing. A RDD evaluation," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 73-86.
    • Handle: RePEc:eee:jbfina:v:96:y:2018:i:c:p:73-86
    DOI: 10.1016/j.jbankfin.2018.08.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378426618301705
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbankfin.2018.08.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Beck, Thorsten & Klapper, Leora F. & Mendoza, Juan Carlos, 2010. "The typology of partial credit guarantee funds around the world," Journal of Financial Stability, Elsevier, vol. 6(1), pages 10-25, April.
    2. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    3. Uesugi, Iichiro & Sakai, Koji & Yamashiro, Guy M., 2010. "The Effectiveness of Public Credit Guarantees in the Japanese Loan Market," Journal of the Japanese and International Economies, Elsevier, vol. 24(4), pages 457-480, December.
    4. Jae Kang & Almas Heshmati, 2008. "Effect of credit guarantee policy on survival and performance of SMEs in Republic of Korea," Small Business Economics, Springer, vol. 31(4), pages 445-462, December.
    5. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    6. Berger, Allen N & Udell, Gregory F, 1992. "Some Evidence on the Empirical Significance of Credit Rationing," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 1047-1077, October.
    7. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    8. Patrick Kline, 2011. "Oaxaca-Blinder as a Reweighting Estimator," American Economic Review, American Economic Association, vol. 101(3), pages 532-537, May.
    9. Claire Lelarge & David Sraer & David Thesmar, 2010. "Entrepreneurship and Credit Constraints: Evidence from a French Loan Guarantee Program," NBER Chapters, in: International Differences in Entrepreneurship, pages 243-273, National Bureau of Economic Research, Inc.
    10. Salvatore Zecchini & Marco Ventura, 2009. "The impact of public guarantees on credit to SMEs," Small Business Economics, Springer, vol. 32(2), pages 191-206, February.
    11. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    12. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    13. Ben Craig & William Jackson & James Thomson, 2008. "Credit market failure intervention: Do government sponsored small business credit programs enrich poorer areas?," Small Business Economics, Springer, vol. 30(4), pages 345-360, April.
    14. Boschi, Melisso & Girardi, Alessandro & Ventura, Marco, 2014. "Partial credit guarantees and SMEs financing," Journal of Financial Stability, Elsevier, vol. 15(C), pages 182-194.
    15. Joshua D. Angrist & Miikka Rokkanen, 2015. "Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1331-1344, December.
    16. Kuniyoshi SAITO & Daisuke TSURUTA, 2014. "Information Asymmetry in SME Credit Guarantee Schemes: Evidence from Japan," Discussion papers 14042, Research Institute of Economy, Trade and Industry (RIETI).
    17. Allan Riding & Judith Madill & George Haines, 2007. "Incrementality of SME Loan Guarantees," Small Business Economics, Springer, vol. 29(1), pages 47-61, June.
    18. Yingying Dong, 2015. "Regression Discontinuity Applications with Rounding Errors in the Running Variable," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 422-446, April.
    19. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Manipulation testing based on density discontinuity," Stata Journal, StataCorp LLC, vol. 18(1), pages 234-261, March.
    20. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    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. Guido de Blasio & Stefania De Mitri & Alessio D'Ignazio & Paolo Finaldi Russo & Lavina Stoppani, 2017. "Public guarantees on loans to SMEs: an RDD evaluation," Temi di discussione (Economic working papers) 1111, Bank of Italy, Economic Research and International Relations Area.
    2. Lagazio, Corrado & Persico, Luca & Querci, Francesca, 2021. "Public guarantees to SME lending: Do broader eligibility criteria pay off?," Journal of Banking & Finance, Elsevier, vol. 133(C).
    3. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    4. Thomas Url, 2018. "Die Folgen staatlicher Wechselbürgschaften und Beteiligungsgarantien für Inlandsbeschäftigung und Leistungsbilanz," WIFO Studies, WIFO, number 61057, October.
    5. Mellace, Giovanni & Ventura, Marco, 2019. "Intended and unintended effects of public incentives for innovation. Quasi-experimental evidence from Italy," Discussion Papers on Economics 9/2019, University of Southern Denmark, Department of Economics.
    6. Peter Hennecke & Doris Neuberger & Dirk Ulbricht, 2019. "The economic and fiscal benefits of guarantee banks in Germany," Small Business Economics, Springer, vol. 53(3), pages 771-794, October.
    7. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    8. Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
    9. Hennecke, Peter & Neuberger, Doris & Ulbricht, Dirk, 2017. "The economic and fiscal value of German guarantee banks," Thuenen-Series of Applied Economic Theory 152, University of Rostock, Institute of Economics.
    10. Adam C. Sales & Ben B. Hansen, 2020. "Limitless Regression Discontinuity," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 143-174, April.
    11. Crespo Cristian, 2020. "Beyond Manipulation: Administrative Sorting in Regression Discontinuity Designs," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 164-181, January.
    12. Matteo Picchio & Jan C. van Ours, 2020. "Mental Health Effects of Retirement," De Economist, Springer, vol. 168(3), pages 419-452, September.
    13. Bonilla, Sade, 2020. "The dropout effects of career pathways: Evidence from California," Economics of Education Review, Elsevier, vol. 75(C).
    14. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    15. Bartalotti Otávio, 2019. "Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-26, January.
    16. Davezies, Laurent & Le Barbanchon, Thomas, 2017. "Regression discontinuity design with continuous measurement error in the running variable," Journal of Econometrics, Elsevier, vol. 200(2), pages 260-281.
    17. Andini, Monica & Boldrini, Michela & Ciani, Emanuele & de Blasio, Guido & D'Ignazio, Alessio & Paladini, Andrea, 2022. "Machine learning in the service of policy targeting: The case of public credit guarantees," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 434-475.
    18. Crespo Cristian, 2020. "Beyond Manipulation: Administrative Sorting in Regression Discontinuity Designs," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 164-181, January.
    19. Mellace, Giovanni & Ventura, Marco, 2023. "The short-run effects of public incentives for innovation in Italy," Economic Modelling, Elsevier, vol. 120(C).
    20. Giuseppe Francesco Gori & Patrizia Lattarulo & Marco Mariani, 2021. "The Expediting Effect of Monitoring on Infrastructural Works. A Regression-Discontinuity Approach with Multiple Assignment Variables," Papers 2102.09625, arXiv.org.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:eee:jbfina:v:96:y:2018:i:c:p:73-86. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbf .

    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.