2014
DOI: 10.1093/rof/rfu042
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Market Size Structure and Small Business Lending: Are Crisis Times Different from Normal Times?*

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Cited by 69 publications
(41 citation statements)
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“…First, in line with Degryse and Ongena (2005), we expect bank proximity to have a negative effect on information asymmetry and facilitate loan granting. Second, lending to start-ups tends to be higher in regions with more small banks (Berger et al, 2015). Third, as relationship lenders, small banks are better suited to ensure a governance role of debt, as they have been shown to have a comparative advantage in using soft information to alleviate the financial constraints of small businesses (Agarwal and Hauswald, 2010;Berger et al, 2017).…”
Section: Robustness Checks: Reduced Sample and Instrumental Variable mentioning
confidence: 99%
“…First, in line with Degryse and Ongena (2005), we expect bank proximity to have a negative effect on information asymmetry and facilitate loan granting. Second, lending to start-ups tends to be higher in regions with more small banks (Berger et al, 2015). Third, as relationship lenders, small banks are better suited to ensure a governance role of debt, as they have been shown to have a comparative advantage in using soft information to alleviate the financial constraints of small businesses (Agarwal and Hauswald, 2010;Berger et al, 2017).…”
Section: Robustness Checks: Reduced Sample and Instrumental Variable mentioning
confidence: 99%
“…Starting from the seminal paper by Udell (1989), this strand of the literature has recently known a new interest by the economists. Berger et al (2014) show that loan officers' incentives can negatively interact with internal rating systems. Scott (2006) finds that a faster turnover is generally negatively correlated with the production of soft information.…”
mentioning
confidence: 99%
“…Petersen/ Rajan 2002, 2537. Furthermore, the use of credit scoring models weakened the importance of soft information and average distances were able to grow (Berger et al 2015). Yet, as there is non-codifyable information or information that cannot be transferred or quantified, spatial proximity to asses a borrower's economic situation could further play a major role in lending ( Agarwal/Hauswald 2010).…”
Section: Discussionmentioning
confidence: 99%
“…lower information asymmetry between borrower and lender decline with increasing age of the firm (Jackson/ Thomas 1995, 342). Firm age on the one hand is regarded as a proxy variable for the duration of the firm bank relationship (s. Berger et al 2014;Berger et al 2015). On the other hand, it can be employed to control for hold-up costs, as elder firms are unlikely to maintain only one banking relationship except when there is either no firm growth and/or hold-up costs.…”
Section: 1mentioning
confidence: 99%