2013
DOI: 10.2139/ssrn.2369236
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How Do Insured Deposits Affect Bank Risk? Evidence from the 2008 Emergency Economic Stabilization Act

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 26 publications
(34 citation statements)
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“…The rightmost column presents the normalized differences (Imbens and Wooldridge, 2009;Lambert et al, 2017). A normalized difference larger than 0.25 indicates that the differences in the trends between both groups of banks are significant.…”
Section: Identification Through Banks In Unaffected Countiesmentioning
confidence: 99%
“…The rightmost column presents the normalized differences (Imbens and Wooldridge, 2009;Lambert et al, 2017). A normalized difference larger than 0.25 indicates that the differences in the trends between both groups of banks are significant.…”
Section: Identification Through Banks In Unaffected Countiesmentioning
confidence: 99%
“…Public deposit insurance creates moral hazard for banks which can thus finance risky assets, using insured deposits, poorly monitored by depositors. As a result, the banking system may be more vulnerable to crises of insolvency (empirically this thesis is confirmed by such scholars as: Anginer, Demirgüc-Kunt, Zhu, 2013;Lambert, Noth, Schuwer, 2013;Lé, 2013).…”
Section: Introductionmentioning
confidence: 58%
“…Column 1 reports estimates obtained over the entire sample using Deposit insurance reform. Column 2 interacts Affected (EESA) with Post (EESA) focusing on US banks from Lambert et al (2017), where Post (EESA) is an indicator equal to one for the period 2009-2012. Column 3 considers a time window of two years around EESA, where the pre-and post-period are defined as 2007-2008 and 2009-2010, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…In line with Lambert, Noth, and Schüwer (2017), we obtain information on the bank-level change in insured deposits (scaled by total assets) around the EESA. Because our sample of US banks is considerably smaller than that of Lambert et al (2017), we rely on a different definition of treatment and control group. We assign a bank to the treatment group if its change in insured deposits is above the 75th percentile, and to the the control group otherwise.…”
Section: Quasi-experimental Evidencementioning
confidence: 99%