Affuso, Antonio (2010): Do public subsidies reduce credit rationing? A matching approach.
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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. Although there is a great deal of literature on the effect of state aid in Italy, there is no agreement on its effectiveness. See Bagella and Becchetti (1998), Bronzini and De Blasio (2006) and Adorno, Bernini and Pellegrini (2007). These papers and many others focus on the effects on productivity, debt ratio, profitability and employment, but no empirical studies so far have analyzed the impact of public subsidies on credit rationing. This paper therefore 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 basic idea of the paper is that public subsidies affect firms’ ability to obtain more funds. This is because incentive has a positive effect on investments, which, in turn, act negatively on credit rationing through collateralization. The problem of self-selection arises in this analysis, because in public financing programs, firms are selected on the basis of common characteristics. So subsidized firms and unsubsidized firms cannot be considered random draws. In order to overcome this problem, I use a Propensity Score Matching model. My results suggest that public subsidies reduce the probability of a firm being credit rationing.
|Item Type:||MPRA Paper|
|Original Title:||Do public subsidies reduce credit rationing? A matching approach|
|English Title:||Do public subsidies reduce credit rationing? A matching approach|
|Subjects:||H - Public Economics > H2 - Taxation, Subsidies, and Revenue > H20 - General|
|Depositing User:||antonio affuso|
|Date Deposited:||11. Sep 2010 10:10|
|Last Modified:||31. Dec 2015 01:07|
Adorno, V., C. Bernini and G. Pellegrini, (2007), “The Impact of Capital Subsidies: New Estimations Under Continuous Treatment”, Giornale degli Economisti e Annali di Economia, 66, 1.
Bagella, M. and L. Becchetti, (1998), “Gli Effetti di Breve Periodo delle Agevolazioni: il Costo del Debito, l'Offerta di Credito, gli Investimenti e l'Effetto del Ciclo”. In: M.Bagella, (ed.), Gli Incentivi di Politica Industriale: Presupposti Teorici e Valutazioni Empiriche, 34-100. [In Italian].
Becker, S.O. and A. Ichino, (2002), “Estimation of average treatment effects based on propensity scores”, The Stata Journal, 2(4), 358-377.
Bronzini, R. and G. De Blasio, (2006), “Evaluating the impact of investment incentives: The case of Italy’s Law 488/1992”, Journal of Urban Economics 60, 327–349.
Dehejia, R., and S. Wahba, (1999), “Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs”, Journal of the American Statistical Association, 94, 1999, 1053-1062
DeLong, J.B., and L.H. Summers, (1991), “Equipment Investment and Economic Growth”, Quarterly Journal of Economics, 106(2): 445-502.
Harris, M., and A. Raviv, (1991), “The Theory of Capital Structure”, The Journal of Finance, 46(1): 297-355.
Heckman, J. (1997), “Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations” The Journal of Human Resources, Vol. 32, No. 3, pp. 441-462
Heckman, J., H. Ichimura, and P. Todd, (1997), “Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Program”, Review of Economic Studies, 64, 605-654
Ichimura, H., and C. Taber, (2001), “Propensity-Score Matching with Instrumental Variables” The American Economic Review, Vol. 91, No. 2, Papers and Proceedings of the Hundred Thirteenth Annual Meeting of the American Economic Association, pp. 119-124
Imbens G., and J. Angrist (1994), “Identification and Estimation of Local Average Treatment Effects Published”, Econometrica, Vol. 62, No. 2, 467-476
Johnson, S.A. (1997), “An Empirical Analysis of the Determinants of Corporate Debt Ownership Structure”, The Journal of Finance and Quantitative Analysis, 32(1): 47-69.
Lechner, M., (1999), “Earnings and Employment Effects of Continuous Off-the-job Training in East Germany after Unification”, Journal of Business and Economic Statistics, 17, 1999, 74-90
Rosenbaum P.R., and D.B. Rubin, (1983), “The Central Role of the Propensity Score in Observational Studies for Causal Effects”, Biometrika, Vol. 70, No. 1., 41-55.
Rubin D.B., (1977), “Assignment to Treatment Group on the Basis of a Covariate”, Journal of Educational Statistics, Vol. 2, No. 1, 1-26.