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A micro data approach to the identification of credit crunches

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  • 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.

Suggested Citation

  • Wollmershäuser, Timo & Rottmann, Horst, 2010. "A micro data approach to the identification of credit crunches," Weidener Diskussionspapiere 24, University of Applied Sciences Amberg-Weiden (OTH).
  • Handle: RePEc:zbw:hawdps:24
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    References listed on IDEAS

    as
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    More about this item

    Keywords

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

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • 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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