2021
DOI: 10.1093/rfs/hhab002
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Kicking the Can Down the Road: Government Interventions in the European Banking Sector

Abstract: We analyze government interventions in the eurozone banking sector during the 2008–2009 financial crisis. Using a novel data set, we document that fiscally constrained governments “kicked the can down the road” by providing banks with guarantees instead of fully-fledged recapitalizations. We econometrically address the endogeneity associated with bailout decisions in identifying their consequences. We find that forbearance prompted undercapitalized banks to shift their assets from loans to risky sovereign debt… Show more

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Cited by 61 publications
(21 citation statements)
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References 56 publications
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“…This novel, hand-collected dataset differs from other bank-level datasets constructed and used in the recent literature across three main dimensions. First, it covers a broader set of countries spanning both advanced economies and emerging markets compared to, for instance, Acharya et al, (2021) , who collects data for eurozone countries, and Bassett et al, (2020) , who builds a comprehensive dataset of government support to banks, but only for the United States. Second, it also covers a longer time period, relative to others focusing on the few years around the GFC and the eurozone crisis (e.g., Acharya et al, 2021 cover 2007–2012 while Bassett et al, 2020 cover 2007–2010).…”
Section: Datamentioning
confidence: 99%
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“…This novel, hand-collected dataset differs from other bank-level datasets constructed and used in the recent literature across three main dimensions. First, it covers a broader set of countries spanning both advanced economies and emerging markets compared to, for instance, Acharya et al, (2021) , who collects data for eurozone countries, and Bassett et al, (2020) , who builds a comprehensive dataset of government support to banks, but only for the United States. Second, it also covers a longer time period, relative to others focusing on the few years around the GFC and the eurozone crisis (e.g., Acharya et al, 2021 cover 2007–2012 while Bassett et al, 2020 cover 2007–2010).…”
Section: Datamentioning
confidence: 99%
“…While there are many studies on the drivers of interventions ( Bayazitova and Shivdasani 2012 ; Duchin and Sosyura 2012 ) and the impact of interventions on lending, risk-taking, and economic activity ( Black and Hazelwood 2013 ; Li 2013 ; Calomiris and Khan 2015 ; Berger and Roman 2017 ; Berger et al, 2019 ; Acharya et al, 2021 ; Bassett et al, 2020 ; Berger et al, 2020 ; Brandao-Marques, Correa, and Sapriza 2020 ; Duchin and Sosyura 2020 ), the empirical literature on the effects on banks’ markups is relatively scant and primarily focused on the United States. 3 The closest papers to ours are Berger and Roman (2015) and Calderon and Schaeck (2016) , who document opposite effects of government intervention.…”
Section: Introductionmentioning
confidence: 99%
“…In their seminal paper, Peek and Rosengren (2005) find that severely undercapitalized banks in Japan during the Lost Decade were more inclined to extend new loans to poorly performing firms, suggesting that banks' incentives to conceal non-performing loans in light of the minimum capital requirement encouraged zombie lending. Similarly, recent papers, including Acharya et al (2021), Andrews and Petroulakis (2017), Storz et al (2017), and Schivardi et al (2017), find that undercapitalized banks in European countries are more likely to participate in zombie lending. On the other hand, Ogawa and Kitasaka (2000) and Giannetti and Simonov (2013) propose an alternative explanation: lending to firms in need enables banks to maintain good customer relationships and networks.…”
Section: Why Does Zombie Lending Happen?mentioning
confidence: 81%
“…35 2based on value-added data in columns ( 1) to (3) of Table 3. Column (1) shows that, without the interaction of zombie lending with the share of low-skilled workers, the coefficient on zombie lending is negative. Although this coefficient estimate is not statistically significant, the results are indicative that zombie lending, on average, had negative effects on real value added.…”
Section: Fixed Effectsmentioning
confidence: 99%
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