2012
DOI: 10.1016/j.jimonfin.2011.10.007
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Loan supply shocks during the financial crisis: Evidence for the Euro area

Abstract: a b s t r a c tThis paper employs a panel vector autoregressive model for the member countries of the Euro Area to explore the role of banks during the slump of the real economy that followed the financial crisis. In particular, we seek to quantify the macroeconomic effects of adverse loan supply shocks, which are identified using sign restrictions. We find that loan supply shocks significantly contributed to the evolution of the loan volume and real GDP growth in all member countries during the financial cris… Show more

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Cited by 169 publications
(200 citation statements)
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References 30 publications
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“…We summarize the 7 identification restrictions in Table 2. Similar restrictions to identify credit shocks were recently applied by Alessi (2011), Busch et al (2010), Hristov et al (2011), and Tamási & Világi (2011).…”
Section: Identification and Structural Interpretationmentioning
confidence: 90%
“…We summarize the 7 identification restrictions in Table 2. Similar restrictions to identify credit shocks were recently applied by Alessi (2011), Busch et al (2010), Hristov et al (2011), and Tamási & Világi (2011).…”
Section: Identification and Structural Interpretationmentioning
confidence: 90%
“…Helbling et al, 2011;Hristov et al, 2012). Finally, the 1 In the Euro area retail rates play an important role in the transmission of monetary policy, since borrowing and lending take place predominantly through the intermediation of the banking sector, contrary to some major economies where securities markets are the main funding source of the real sector.…”
Section: Introductionmentioning
confidence: 99%
“…Mote Carlo simulations by Rebucci (2010) show in fact that the efficiency of the mean-group estimator is very limited in short samples. 6 Therefore, we follow Born et al (2012), Hristov et al (2012) and Tillmann (2012) and adopt the fixed effect estimator.…”
mentioning
confidence: 99%
“…Bijsterbosch and Falagiarda (2015) show that while credit supply shocks have a procyclical impact in the euro area, there is evidence of a strong rise in cross-country heterogeneity, reflecting the financial fragmentation in the euro area associated with the sovereign debt crisis and weaker banks' balance sheets. Hristov et al (2011) show that in some EU countries, e.g. Austria, Finland or Italy, the dampening effects of loan supply shocks were particularly relevant in the course of 2008, while in other countries, e.g., Germany, Spain or France, they predominantly emerged during 2009 and 2010. There are some examples of trying to further disentangle credit supply shocks.…”
mentioning
confidence: 91%
“…Many authors try to specifically identify credit supply shocks using the SVAR framework (Duchi and Elbourne 2016;Furlanetto et al 2014;Gambetti and Musso 2012;Hristov et al 2011;Peersman 2011;Bijsterbosdch and Falagiarda 2015;Barnett and Thomas 2013). They typically find that credit supply shocks matter and are a substantial source of macroeconomic fluctuations, though, naturally, the degree to which the credit supply had affected the economies during the recent economic cycle does differ.…”
mentioning
confidence: 99%