2013
DOI: 10.1080/00036846.2012.665604
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A micro data approach to the identification of credit crunches

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 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 controlli… Show more

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Cited by 21 publications
(21 citation statements)
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“…Even though this analysis does not allow to unequivocally identify the relative contribution of credit demand and credit supply to explain the evolution of credit, the results suggest that the access to credit by Portuguese firms became more difficult after 2009 and that credit restrictions were particularly relevant for firms seeking credit for the first time. Farinha and Félix (2014) considered an econometric methodology similar to that in Rottmann and Wollmershäuser (2013) and estimated a two-step model to evaluate the importance of credit demand and credit supply factors in explaining the evolution of credit in the period between the first quarter of 1997 and the second quarter of 2013. The results suggest that after controlling for firm idiosyncratic characteristics, the evolution of credit is largely explained by banks liquidity and solvency conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Even though this analysis does not allow to unequivocally identify the relative contribution of credit demand and credit supply to explain the evolution of credit, the results suggest that the access to credit by Portuguese firms became more difficult after 2009 and that credit restrictions were particularly relevant for firms seeking credit for the first time. Farinha and Félix (2014) considered an econometric methodology similar to that in Rottmann and Wollmershäuser (2013) and estimated a two-step model to evaluate the importance of credit demand and credit supply factors in explaining the evolution of credit in the period between the first quarter of 1997 and the second quarter of 2013. The results suggest that after controlling for firm idiosyncratic characteristics, the evolution of credit is largely explained by banks liquidity and solvency conditions.…”
Section: Introductionmentioning
confidence: 99%
“…In 2008, the Ifo Institute and the Ludwig-Maximilians-University of Munich founded the LMU-ifo Economics & Business Data Center to offer easier access to Ifo's micro data sets for researchers. Since then, micro data analyses have increased, for example Bachmann et al (2013), Pesaran and Timmermann (2009) and Rottmann and Wollmershäuser (2013).…”
mentioning
confidence: 98%
“…This explanation seems especially plausible as the tax reform was implemented during the financial crisis when firms may have had problems obtaining additional debt finance. On the other hand, there is some evidence that no credit crunch occurred in Germany (Schmidt and Zwick, 2012) or that only those large firms mainly negotiating credits with state-owned landesbanks experienced a reduced willingness of banks to grant credit (Rottmann and Wollmershäuser, 2013), but our sample consists of small and medium-sized partnership businesses. Furthermore, it is possible that the long-term effects will be larger, as firms may not adjust their capital structure immediately.…”
Section: Discussion Of the Effect Sizementioning
confidence: 99%