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.
Item Type: | Journal article |
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Faculties: | Economics Economics > Chairs > Chair in Public Finance |
Subjects: | 300 Social sciences > 330 Economics |
Language: | English |
Item ID: | 19741 |
Date Deposited: | 15. Apr 2014, 08:53 |
Last Modified: | 04. Nov 2020, 13:01 |