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A micro data approach to the identification of credit crunches

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  • Horst Rottmann
  • Timo Wollmersh�user

Abstract

This article presents a micro data approach to the identification of credit crunches. Using a survey among German firms which regularly queries the firms' assessment of the current willingness of banks to extend credit, we estimate the probability of a restrictive loan supply policy by time taking into account the creditworthiness of borrowers. Creditworthiness is approximated by firm-specific factors, e.g. the firms' assessment of their current business situation and their business expectations. After controlling for the return on the banks' risk-free investment alternative, which is also likely to affect the supply of loans, we derive a credit crunch indicator, which measures that part of the shift in the loan supply that is neither explained by firm-specific factors nor by the opportunity costs of providing risky loans.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 45 (2013)
Issue (Month): 17 (June)
Pages: 2423-2441

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Handle: RePEc:taf:applec:45:y:2013:i:17:p:2423-2441

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Cited by:
  1. Giancarlo Corsetti & Michael P. Devereux & Luigi Guiso & John Hassler & Gilles Saint-Paul & Hans-Werner Sinn & Jan-Egbert Sturm & Xavier Vives, 2010. "Chapter 1: The European Economy: Macroeconomic outlook," EEAG Report on the European Economy, CESifo Group Munich, vol. 0, pages 11-51, 02.
  2. Kremp, E. & Sevestre, P., 2012. "Did the crisis induce credit rationing for French SMEs?," Working papers 405, Banque de France.
  3. Anja Hönig, 2010. "Linkage of Ifo Survey and Balance-Sheet Data: The EBDC Business Expectations Panel & the EBDC Business Investment Panel," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 130(4), pages 635-642.
  4. Olga Bohachova & Bernhard Boockmann & Claudia M. Buch, 2011. "Labor Demand During the Crisis: What Happened in Germany?," CESifo Working Paper Series 3625, CESifo Group Munich.
  5. Torsten Schmidt & Lina Zwick, 2012. "In Search for a Credit Crunch in Germany," Ruhr Economic Papers 0361, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  6. May Elsayyad & Kai A. Konrad, 2011. "Fighting Multiple Tax Havens," Working Papers fighting_multiple_tax_hav, Max Planck Institute for Tax Law and Public Finance.
  7. Christian Seiler, 2012. "The Data Sets of the LMU-ifo Economics & Business Data Center – A Guide for Researchers," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 132(4), pages 609-618.
  8. Christian Seiler, 2013. "Nonresponse in Business Tendency Surveys: Theoretical Discourse and Empirical Evidence," ifo Beiträge zur Wirtschaftsforschung, Ifo Institute for Economic Research at the University of Munich, number 52.
  9. Artem Marjenko & Stefan Sauer & Klaus Wohlrabe, 2012. "Die Kredithürde: Deutsche Firmen trotz Eurokrise ohne Finanzierungsprobleme," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 65(19), pages 42-46, October.
  10. Felbermayr, Gabriel & Spiegel, Gilbert, 2013. "A Simple Theory of Trade, Finance and Firm Dynamics," Munich Reprints in Economics 20353, University of Munich, Department of Economics.

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