IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

A micro data approach to the identification of credit crunches

  • Rottmann, Horst
  • Wollmershäuser, Timo

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.

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Paper provided by University of Munich, Department of Economics in its series Munich Reprints in Economics with number 19741.

as
in new window

Length:
Date of creation: 2013
Date of revision:
Publication status: Published in Applied Economics 17 45(2013): pp. 2423-2441
Handle: RePEc:lmu:muenar:19741
Contact details of provider: Postal: Ludwigstr. 28, 80539 Munich, Germany
Phone: +49-(0)89-2180-3405
Fax: +49-(0)89-2180-3510
Web page: http://www.vwl.uni-muenchen.de
More information through EDIRC

No references listed on IDEAS
You can help add them by filling out this form.

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

When requesting a correction, please mention this item's handle: RePEc:lmu:muenar:19741. 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: (Alexandra Frank)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.