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Credit rationing and credit view: empirical evidence from loan data

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Abstract

The empirical literature tries to identify credit rationing and its determinants by using balance sheet data or evidence from corporate surveys. Observational equivalence, identification problems, and interview biases are serious problems in these studies. We analyse the determinants of credit rationing directly on credit files by looking at the difference between the amount demanded and supplied to each borrower from official bank records. Our findings provide microeconomic evidence in support of the credit view hypothesis showing that the European Central Bank refinancing rate is significantly and positively related to partial (but not total) credit rationing. This finding is consistent with the hypothesis that such variable affects the total volume of commercial bank loans.

Suggested Citation

  • Leonardo Becchetti & Melody Garcia & Giovanni Trovato, 2009. "Credit rationing and credit view: empirical evidence from loan data," CEIS Research Paper 144, Tor Vergata University, CEIS, revised 30 Sep 2009.
  • Handle: RePEc:rtv:ceisrp:144
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    Cited by:

    1. Feng Dong & Pengfei Wang & Yi Wen, 2016. "Credit search and credit cycles," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 61(2), pages 215-239, February.
    2. Simon Cornée & Ariane Szafarz, 2014. "Vive la Différence: Social Banks and Reciprocity in the Credit Market," Post-Print CEB, ULB -- Universite Libre de Bruxelles, vol. 125(3), pages 361-380.
    3. Amélie Artis & Simon Cornée, 2013. "Transformation informationnelle, certification et intermédiation financière : le cas de la banque solidaire," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201326, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    4. Diaz-Serrano, Luis & Sackey, Frank Gyimah, 2015. "Is Rationing in the Microfinance Sector Determined by the Microfinance Type? Evidence from Ghana," IZA Discussion Papers 8999, Institute for the Study of Labor (IZA).
    5. Simon Cornée, 2012. "The Relevance of Soft Information for Predicting Small Business Credit Default: Evidence from a Social Bank," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201226, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS, revised Sep 2015.
    6. Leonardo Becchetti & Melody Garcia, 2008. "Do collateral theories work in social banking ?," CEIS Research Paper 131, Tor Vergata University, CEIS, revised 07 Nov 2008.
    7. Díaz Serrano, Lluís & Sackey, Frank G., 2015. "Microfinance and credit rationing in Ghana: Does the microfinance type matter?," Working Papers 2072/247802, Universitat Rovira i Virgili, Department of Economics.

    More about this item

    Keywords

    credit rationing; credit view; loan data.;

    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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