IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/36698.html
   My bibliography  Save this paper

A propensity score analysis of public incentives: The Italian case

Author

Listed:
  • Affuso, Antonio

Abstract

Public support to firms has been a traditional and important industrial policy measure in many countries for several decades. One of the reasons for public intervention is the existence of market failures or imperfections. Informational asymmetries between borrowers and lenders of funds in particular are used to justify subsidies to firms, especially small and medium-sized enterprises. Within this framework, the main purpose of public subsidies is offsetting market imperfections. This paper makes a contribution to current empirical literature by examining the effects of public funding on credit rationing of small and medium-sized Italian firms. The results suggest that public subsidies reduce the probability of a firm being credit rationing

Suggested Citation

  • Affuso, Antonio, 2011. "A propensity score analysis of public incentives: The Italian case," MPRA Paper 36698, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:36698
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/36698/2/MPRA_paper_36698.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Michael Lechner, 1999. "Nonparametric bounds on employment and income effects of continuous vocational training in East Germany," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 1-28.
    3. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
    4. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    5. 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.
    6. Johnson, Shane A., 1997. "An Empirical Analysis of the Determinants of Corporate Debt Ownership Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(1), pages 47-69, March.
    7. Bronzini, Raffaello & de Blasio, Guido, 2006. "Evaluating the impact of investment incentives: The case of Italy's Law 488/1992," Journal of Urban Economics, Elsevier, vol. 60(2), pages 327-349, September.
    8. Valentina Adorno & Cristina Bernini & Guido Pellegrini, 2007. "The Impact of Capital Subsidies: New Estimations under Continuous Treatment," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(1), pages 67-92, March.
    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. A. Affuso, 2007. "Credit rationing and real assets: evidence from Italian panel data," Economics Department Working Papers 2007-EP09, Department of Economics, Parma University (Italy).
    2. 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.
    3. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    4. Cockx, Bart & Bardoulat, Isabelle, 1999. "Vocational Training: Does it speed up the Transition Rate out of Unemployment ?," LIDAM Discussion Papers IRES 1999032, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    5. Bernini, Cristina & Pellegrini, Guido, 2013. "Is subsidising tourism firms an effective use of public funds?," Tourism Management, Elsevier, vol. 35(C), pages 156-167.
    6. Affuso, Antonio, 2010. "Do public subsidies reduce credit rationing? A matching approach," MPRA Paper 24874, University Library of Munich, Germany, revised 02 Sep 2010.
    7. 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.
    8. Jeffrey Smith, 2000. "A Critical Survey of Empirical Methods for Evaluating Active Labor Market Policies," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(III), pages 247-268, September.
    9. Federico Biagi & Daniele Bondonio & Alberto Martini, 2015. "Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm," ERSA conference papers ersa15p1619, European Regional Science Association.
    10. Alessandro Cusimano & Fabio Mazzola, 2013. "Ex-post evaluation of Territorial Integrated Projects in Italy: an empirical analysis at firm level," ERSA conference papers ersa13p1331, European Regional Science Association.
    11. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    12. Markus Frölich, 2004. "Programme Evaluation with Multiple Treatments," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 181-224, April.
    13. Jeffrey M. Wooldridge, 2004. "Estimating average partial effects under conditional moment independence assumptions," CeMMAP working papers 03/04, Institute for Fiscal Studies.
    14. P. Lovaglio & S. Verzillo, 2016. "Heterogeneous economic returns to higher education: evidence from Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 791-822, March.
    15. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    16. Christian Volpe Martincus & Jerónimo Carballo, 2010. "Entering new country and product markets: does export promotion help?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 437-467, September.
    17. Santi Sanglestsawai & Roderick M. Rejesus & Jose M. Yorobe Jr., 2015. "Economic impacts of integrated pest management (IPM) farmer field schools (FFS): evidence from onion farmers in the Philippines," Agricultural Economics, International Association of Agricultural Economists, vol. 46(2), pages 149-162, March.
    18. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    19. Bruno Arpino & Arnstein Aassve, 2013. "Estimating the causal effect of fertility on economic wellbeing: data requirements, identifying assumptions and estimation methods," Empirical Economics, Springer, vol. 44(1), pages 355-385, February.
    20. Thomas A. Diprete & Henriette Engelhardt, 2004. "Estimating Causal Effects With Matching Methods in the Presence and Absence of Bias Cancellation," Sociological Methods & Research, , vol. 32(4), pages 501-528, May.

    More about this item

    Keywords

    Propensity score; Credit rationing; Public subsidies;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General

    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:pra:mprapa:36698. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.