Advanced Search
MyIDEAS: Login

A micro data approach to the identification of credit crunches

Contents:

Author Info

  • Wollmershäuser, Timo
  • Rottmann, Horst

Abstract

This paper 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 credit 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 banks' refinancing costs, which are also likely to affect the supply of loans, we derive a credit crunch indicator, which measures that part of the shift in the willingness to lend that is neither explained by firm-specific factors nor by refinancing costs. --

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://econstor.eu/bitstream/10419/56451/1/689269641.pdf
Download Restriction: no

Bibliographic Info

Paper provided by University of Applied Sciences Amberg-Weiden (OTH) in its series OTH im Dialog: Weidener Diskussionspapiere with number 24.

as in new window
Length:
Date of creation: 2010
Date of revision:
Handle: RePEc:zbw:hawdps:24

Contact details of provider:
Web page: http://www.oth-aw.de/

Related research

Keywords: credit crunch; loan supply; surveys; nonlinear binary outcome panel-data models;

Other versions of this item:

Find related papers by JEL classification:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Ben Bernanke, 1990. "The Federal Funds Rate and the Channels of Monetary Transnission," NBER Working Papers 3487, National Bureau of Economic Research, Inc.
  2. Anil K Kashyap & Jeremy C. Stein & David W. Wilcox, 1992. "Monetary Policy and Credit Conditions: Evidence From the Composition of External Finance," NBER Working Papers 4015, National Bureau of Economic Research, Inc.
  3. Klaus Abberger & Manuel Birnbrich & Christian Seiler, 2009. "Der »Test des Tests« im Handel – eine Metaumfrage zum ifo Konjunkturtest," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 62(21), pages 34-41, November.
  4. Nelson, C. & Startz, R., 1988. "Some Furthere Results On The Exact Small Sample Properties Of The Instrumental Variable Estimator," Discussion Papers in Economics at the University of Washington 88-06, Department of Economics at the University of Washington.
  5. Anil K. Kashyap & Owen A. Lamont & Jeremy C. Stein, 1993. "Credit conditions and the cyclical behavior of inventories," Working Paper Series, Macroeconomic Issues 93-7, Federal Reserve Bank of Chicago.
  6. Ben S. Bernanke, 1983. "Non-Monetary Effects of the Financial Crisis in the Propagation of the Great Depression," NBER Working Papers 1054, National Bureau of Economic Research, Inc.
  7. Mark E Schaffer, 2005. "XTIVREG2: Stata module to perform extended IV/2SLS, GMM and AC/HAC, LIML and k-class regression for panel data models," Statistical Software Components S456501, Boston College Department of Economics, revised 24 Jul 2012.
  8. Joe Peek & Eric Rosengren, 1993. "Bank regulation and the credit crunch," Working Papers 93-2, Federal Reserve Bank of Boston.
  9. Elsas, Ralf & Krahnen, Jan Pieter, 1998. "Is relationship lending special? Evidence from credit-file data in Germany," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1283-1316, October.
  10. Anil K Kashyap & Jeremy C. Stein, 1994. "The Impact of Monetary Policy on Bank Balance Sheets," NBER Working Papers 4821, National Bureau of Economic Research, Inc.
  11. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
  12. Eric S. Rosengren & Joe Peek, 2000. "Collateral Damage: Effects of the Japanese Bank Crisis on Real Activity in the United States," American Economic Review, American Economic Association, vol. 90(1), pages 30-45, March.
  13. Hsiao,Cheng, 2003. "Analysis of Panel Data," Cambridge Books, Cambridge University Press, number 9780521522717, October.
  14. Oliner, Stephen D & Rudebusch, Glenn D, 1996. "Monetary Policy and Credit Conditions: Evidence from the Composition of External Finance: Comment," American Economic Review, American Economic Association, vol. 86(1), pages 300-309, March.
  15. Christopher F Baum & Mark E Schaffer & Steven Stillman, 2010. "IVREG29: Stata module for extended instrumental variables/2SLS and GMM estimation (v9)," Statistical Software Components S4254010, Boston College Department of Economics, revised 30 Jan 2011.
  16. Wei Ding & Domac, Ilker & Ferri, Giovanni, 1998. "Is there a credit crunch in East Asia?," Policy Research Working Paper Series 1959, The World Bank.
  17. Gregory F. Udell, 2009. "How will a credit crunch affect small business finance?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue mar6.
  18. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  19. Simon G. Gilchrist & Egon Zakrajsek, 1995. "The importance of credit for macroeconomic activity: identification through heterogeneity," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 39, pages 129-173.
  20. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
  21. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
  22. Elsas, Ralf, 2005. "Empirical determinants of relationship lending," Journal of Financial Intermediation, Elsevier, vol. 14(1), pages 32-57, January.
  23. Christopher F Baum & Mark E Schaffer & Steven Stillman, 2002. "IVREG2: Stata module for extended instrumental variables/2SLS and GMM estimation," Statistical Software Components S425401, Boston College Department of Economics, revised 09 Jul 2014.
  24. Chamberlain, Gary, 1980. "Analysis of Covariance with Qualitative Data," Review of Economic Studies, Wiley Blackwell, vol. 47(1), pages 225-38, January.
  25. Petersen, Mitchell A & Rajan, Raghuram G, 1994. " The Benefits of Lending Relationships: Evidence from Small Business Data," Journal of Finance, American Finance Association, vol. 49(1), pages 3-37, March.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. May Elsayyad & Kai A. Konrad, 2010. "Fighting Multiple Tax Havens," CESifo Working Paper Series 3195, CESifo Group Munich.
  2. 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.
  3. Kremp, E. & Sevestre, P., 2012. "Did the crisis induce credit rationing for French SMEs?," Working papers 405, Banque de France.
  4. Olga Bohachova & Bernhard Boockmann & Claudia M. Buch, 2011. "Labor Demand During the Crisis: What Happened in Germany?," IAW Discussion Papers 76, Institut für Angewandte Wirtschaftsforschung (IAW).
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:zbw:hawdps:24. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.