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State Dependence in Access to Credit

Author

Listed:
  • Claudia Pigini

    (Universit… di Perugia)

  • Andrea Filippo Presbitero

    (International Monetary Fund, Universit… Politecnica delle Marche - MoFiR)

  • Alberto Zazzaro

    (Universit… Politecnica delle Marche, MoFiR)

Abstract

We present a simple theory and an empirical test for state dependence in firm access to credit. We estimate a first-order Markov model of credit restriction with sample selection that makes it possible to estimate state dependence in the presence of feedback effects and observed and unobserved heterogeneity. The results, based on a representative sample of Italian firms, show that state dependence in access to credit is a statistical and economically significant: experiencing a credit restriction in the past has a negative impact on the outcome of the current loan application and the decision to apply for a new loan.

Suggested Citation

  • Claudia Pigini & Andrea Filippo Presbitero & Alberto Zazzaro, 2014. "State Dependence in Access to Credit," Mo.Fi.R. Working Papers 102, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    • Handle: RePEc:anc:wmofir:102
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    1. Mark Gertler & Simon Gilchrist, 1994. "Monetary Policy, Business Cycles, and the Behavior of Small Manufacturing Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 309-340.
    2. Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-1339, November.
    3. Presbitero, Andrea F. & Zazzaro, Alberto, 2011. "Competition and relationship lending: Friends or foes?," Journal of Financial Intermediation, Elsevier, vol. 20(3), pages 387-413, July.
    4. Bruce C. Greenwald & Joseph E. Stiglitz, 1993. "Financial Market Imperfections and Business Cycles," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 77-114.
    5. Lown, Cara & Morgan, Donald P., 2006. "The Credit Cycle and the Business Cycle: New Findings Using the Loan Officer Opinion Survey," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1575-1597, September.
    6. Giulia Bettin & Riccardo Lucchetti, 2016. "Steady streams and sudden bursts: persistence patterns in remittance decisions," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 263-292, January.
    7. Mark B. Stewart & Joanna K. Swaffield, 1999. "Low Pay Dynamics and Transition Probabilities," Economica, London School of Economics and Political Science, vol. 66(261), pages 23-42, February.
    8. Levenson, Alec R & Willard, Kristen L, 2000. "Do Firms Get the Financing They Want? Measuring Credit Rationing Experienced by Small Business in the U.S," Small Business Economics, Springer, vol. 14(2), pages 83-94, March.
    9. William W. Lang & Leonard I. Nakamura, 1989. "Information Losses in a Dynamic Model of Credit," Journal of Finance, American Finance Association, vol. 44(3), pages 731-746, July.
    10. João A. C. Santos, 2011. "Bank Corporate Loan Pricing Following the Subprime Crisis," The Review of Financial Studies, Society for Financial Studies, vol. 24(6), pages 1916-1943.
    11. Han, Liang & Fraser, Stuart & Storey, David J., 2009. "Are good or bad borrowers discouraged from applying for loans? Evidence from US small business credit markets," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 415-424, February.
    12. N. Berger, Allen & F. Udell, Gregory, 1998. "The economics of small business finance: The roles of private equity and debt markets in the financial growth cycle," Journal of Banking & Finance, Elsevier, vol. 22(6-8), pages 613-673, August.
    13. Lorenzo Cappellari & Stephen P. Jenkins, 2004. "Modelling low income transitions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 593-610.
    14. Berger, Allen N. & Rosen, Richard J. & Udell, Gregory F., 2007. "Does market size structure affect competition? The case of small business lending," Journal of Banking & Finance, Elsevier, vol. 31(1), pages 11-33, January.
    15. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    16. Ferri, Giovanni & Murro, Pierluigi, 2015. "Do firm–bank ‘odd couples’ exacerbate credit rationing?," Journal of Financial Intermediation, Elsevier, vol. 24(2), pages 231-251.
    17. Francesco Bartolucci & Valentina Nigro, 2010. "A Dynamic Model for Binary Panel Data With Unobserved Heterogeneity Admitting a √n-Consistent Conditional Estimator," Econometrica, Econometric Society, vol. 78(2), pages 719-733, March.
    18. Kiyotaki, Nobuhiro & Moore, John, 1997. "Credit Cycles," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 211-248, April.
    19. Wooldridge, Jeffrey M., 2000. "A framework for estimating dynamic, unobserved effects panel data models with possible feedback to future explanatory variables," Economics Letters, Elsevier, vol. 68(3), pages 245-250, September.
    20. Iyer, Rajkamal & Da-Rocha-Lopes, Samuel & Peydró, José-Luis & Schoar, Antoinette, 2014. "Interbank Liquidity Crunch and the Firm Credit Crunch: Evidence from the 2007-2009 Crisis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 27(1), pages 347-372.
    21. G. B. Gorton & Ping He, 2008. "Bank Credit Cycles," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(4), pages 1181-1214.
    22. Michael P. Keane & Robert M. Sauer, 2009. "Classification Error in Dynamic Discrete Choice Models: Implications for Female Labor Supply Behavior," Econometrica, Econometric Society, vol. 77(3), pages 975-991, May.
    23. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    24. Cole, Rebel & Sokolyk, Tatyana, 2016. "Who needs credit and who gets credit? Evidence from the surveys of small business finances," Journal of Financial Stability, Elsevier, vol. 24(C), pages 40-60.
    25. Martin Brown & Steven Ongena & Alexander Popov & Pinar Yeşin, 2011. "Who needs credit and who gets credit in Eastern Europe? [Interaction terms in logit and probit models]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 26(65), pages 93-130.
    26. Berger, Allen N. & Udell, Gregory F., 2004. "The institutional memory hypothesis and the procyclicality of bank lending behavior," Journal of Financial Intermediation, Elsevier, vol. 13(4), pages 458-495, October.
    27. Casey Dougal & Joseph Engelberg & Christopher A. Parsons & Edward D. Van Wesep, 2015. "Anchoring on Credit Spreads," Journal of Finance, American Finance Association, vol. 70(3), pages 1039-1080, June.
    28. Martin Biewen, 2009. "Measuring state dependence in individual poverty histories when there is feedback to employment status and household composition," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1095-1116, November.
    29. Giorgio Gobbi & Enrico Sette, 2014. "Do Firms Benefit from Concentrating their Borrowing? Evidence from the Great Recession," Review of Finance, European Finance Association, vol. 18(2), pages 527-560.
    30. Parikshit Ghosh & Debraj Ray, 2016. "Information and Enforcement in Informal Credit Markets," Economica, London School of Economics and Political Science, vol. 83(329), pages 59-90, January.
    31. Mark Gertler & Simon Gilchrist, 1993. "The role of credit market imperfections in the monetary transmission mechanism: arguments and evidence," Finance and Economics Discussion Series 93-5, Board of Governors of the Federal Reserve System (U.S.).
    32. Degryse, Hans & Van Cayseele, Patrick, 2000. "Relationship Lending within a Bank-Based System: Evidence from European Small Business Data," Journal of Financial Intermediation, Elsevier, vol. 9(1), pages 90-109, January.
    33. Marco Malgarini & Patrizia Margani & Bianca Maria Martelli, 2005. "New Design of the ISAE Manufacturing Survey," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(1), pages 125-142.
    34. Brown, Sarah & Ghosh, Pulak & Taylor, Karl, 2014. "The existence and persistence of household financial hardship: A Bayesian multivariate dynamic logit framework," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 285-298.
    35. de Bondt, Gabe & Maddaloni, Angela & Peydró, José-Luis & Scopel, Silvia, 2010. "The euro area Bank Lending Survey matters: empirical evidence for credit and output growth," Working Paper Series 1160, European Central Bank.
    36. Martin Ruckes, 2004. "Bank Competition and Credit Standards," The Review of Financial Studies, Society for Financial Studies, vol. 17(4), pages 1073-1102.
    37. R. David Mclean & Mengxin Zhao, 2014. "The Business Cycle, Investor Sentiment, and Costly External Finance," Journal of Finance, American Finance Association, vol. 69(3), pages 1377-1409, June.
    38. Bo E. Honore & Arthur Lewbel, 2002. "Semiparametric Binary Choice Panel Data Models Without Strictly Exogeneous Regressors," Econometrica, Econometric Society, vol. 70(5), pages 2053-2063, September.
    39. Sreedhar T. Bharath & Amy K. Dittmar, 2010. "Why Do Firms Use Private Equity to Opt Out of Public Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 23(5), pages 1771-1818.
    40. Matías Braun & Borja Larrain, 2005. "Finance and the Business Cycle: International, Inter‐Industry Evidence," Journal of Finance, American Finance Association, vol. 60(3), pages 1097-1128, June.
    41. Strahan, Philip E. & Weston, James P., 1998. "Small business lending and the changing structure of the banking industry1," Journal of Banking & Finance, Elsevier, vol. 22(6-8), pages 821-845, August.
    42. Barone, Guglielmo & Felici, Roberto & Pagnini, Marcello, 2011. "Switching costs in local credit markets," International Journal of Industrial Organization, Elsevier, vol. 29(6), pages 694-704.
    43. Beck, Thorsten & Demirguc-Kunt, Asli & Laeven, Luc & Maksimovic, Vojislav, 2006. "The determinants of financing obstacles," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 932-952, October.
    44. Xavier Freixas & Jean-Charles Rochet, 2008. "Microeconomics of Banking, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262062704, December.
    45. Giarda, Elena, 2013. "Persistency of financial distress amongst Italian households: Evidence from dynamic models for binary panel data," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3425-3434.
    46. Jesus M. Carro & Alejandra Traferri, 2014. "State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, March.
    47. Ivashina, Victoria & Scharfstein, David, 2010. "Bank lending during the financial crisis of 2008," Journal of Financial Economics, Elsevier, vol. 97(3), pages 319-338, September.
    48. Vassilis A. Hajivassiliou & Daniel L. McFadden, 1998. "The Method of Simulated Scores for the Estimation of LDV Models," Econometrica, Econometric Society, vol. 66(4), pages 863-896, July.
    49. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    50. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    51. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
    52. Vella, Francis & Verbeek, Marno, 1999. "Two-step estimation of panel data models with censored endogenous variables and selection bias," Journal of Econometrics, Elsevier, vol. 90(2), pages 239-263, June.
    53. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    54. Puri, Manju & Rocholl, Jörg & Steffen, Sascha, 2011. "Global retail lending in the aftermath of the US financial crisis: Distinguishing between supply and demand effects," Journal of Financial Economics, Elsevier, vol. 100(3), pages 556-578, June.
    55. Popov, Alexander & Udell, Gregory F., 2012. "Cross-border banking, credit access, and the financial crisis," Journal of International Economics, Elsevier, vol. 87(1), pages 147-161.
    56. Andrea F. Presbitero & Gregory F. Udell & Alberto Zazzaro, 2014. "The Home Bias and the Credit Crunch: A Regional Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(s1), pages 53-85, February.
    57. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    58. Pietro Alessandrini & Andrea F. Presbitero & Alberto Zazzaro, 2009. "Banks, Distances and Firms' Financing Constraints," Review of Finance, European Finance Association, vol. 13(2), pages 261-307.
    59. Dwight M. Jaffee & Thomas Russell, 1976. "Imperfect Information, Uncertainty, and Credit Rationing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 651-666.
    60. Carlstrom, Charles T & Fuerst, Timothy S, 1997. "Agency Costs, Net Worth, and Business Fluctuations: A Computable General Equilibrium Analysis," American Economic Review, American Economic Association, vol. 87(5), pages 893-910, December.
    61. Jiménez, Gabriel & Ongena, Steven & Peydró, José-Luis & Saurina, Jesús, 2012. "Credit Supply and Monetary Policy: Identifying the Bank Balance-Sheet Channel with Loan Applications," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 102(5), pages 2301-2326.
    62. Bonaccorsi di Patti, Emilia & Sette, Enrico, 2016. "Did the securitization market freeze affect bank lending during the financial crisis? Evidence from a credit register," Journal of Financial Intermediation, Elsevier, vol. 25(C), pages 54-76.
    63. Kon, Y & Storey, D J, 2003. "A Theory of Discouraged Borrowers," Small Business Economics, Springer, vol. 21(1), pages 37-49, August.
    64. repec:bla:jfinan:v:44:y:1989:i:3:p:730-46 is not listed on IDEAS
    65. Zheng Liu & Pengfei Wang & Tao Zha, 2013. "Land‐Price Dynamics and Macroeconomic Fluctuations," Econometrica, Econometric Society, vol. 81(3), pages 1147-1184, May.
    66. Tensie Steijvers & Wim Voordeckers, 2009. "Collateral And Credit Rationing: A Review Of Recent Empirical Studies As A Guide For Future Research," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 924-946, December.
    67. Jonathan Scott, 2004. "Small Business and the Value of Community Financial Institutions," Journal of Financial Services Research, Springer;Western Finance Association, vol. 25(2), pages 207-230, April.
    68. repec:bla:scandj:v:95:y:1993:i:1:p:43-64 is not listed on IDEAS
    69. Thorsten Beck & Asli Demirgüç‐Kunt & Vojislav Maksimovic, 2005. "Financial and Legal Constraints to Growth: Does Firm Size Matter?," Journal of Finance, American Finance Association, vol. 60(1), pages 137-177, February.
    70. Leonardo Becchetti & Maria Melody Garcia & Giovanni Trovato, 2011. "Credit Rationing and Credit View: Empirical Evidence from an Ethical Bank in Italy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(6), pages 1217-1245, September.
    71. Del Giovane, Paolo & Eramo, Ginette & Nobili, Andrea, 2011. "Disentangling demand and supply in credit developments: A survey-based analysis for Italy," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2719-2732, October.
    72. Alessandrini, Pietro & Calcagnini, Giorgio & Zazzaro, Alberto, 2008. "Asset restructuring strategies in bank acquisitions: Does distance between dealing partners matter?," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 699-713, May.
    73. Arellano, Manuel & Carrasco, Raquel, 2003. "Binary choice panel data models with predetermined variables," Journal of Econometrics, Elsevier, vol. 115(1), pages 125-157, July.
    74. Simon C. Parker, 2002. "Do Banks Ration Credit to New Enterprises? And Should Governments Intervene?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 49(2), pages 162-195, May.
    75. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
    76. Degryse, Hans & Kim, Moshe & Ongena, Steven, 2009. "Microeconometrics of Banking Methods, Applications, and Results," OUP Catalogue, Oxford University Press, number 9780195340471.
    77. Tullio Jappelli, 1990. "Who is Credit Constrained in the U. S. Economy?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 219-234.
    78. repec:bla:econom:v:47:y:1980:i:187:p:247-83 is not listed on IDEAS
    79. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    80. James J. Heckman, 1981. "Heterogeneity and State Dependence," NBER Chapters, in: Studies in Labor Markets, pages 91-140, National Bureau of Economic Research, Inc.
    81. Scalera, Domenico & Zazzaro, Alberto, 2001. "Group reputation and persistent (or permanent) discrimination in credit markets," Journal of Multinational Financial Management, Elsevier, vol. 11(4-5), pages 483-496, December.
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    Keywords

    Credit constraints; Discouraged borrowers; First-order Markov model; State dependence;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • F35 - International Economics - - International Finance - - - Foreign Aid
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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