2017
DOI: 10.1093/jeea/jvx020
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Credit Supply During a Sovereign Debt Crisis

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Cited by 147 publications
(113 citation statements)
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“… See Cingano et al (2016) orBofondi et al (2018) for further details on this approach.24 We use the classification Ateco 2002 provided by the National Institute of Statistics (ISTAT), the Italian National Institute of Statistics, which include firms with two-digit industry codes between 15 and 37 in the manufacturing sector.21©International Monetary Fund. Not for Redistribution…”
mentioning
confidence: 99%
“… See Cingano et al (2016) orBofondi et al (2018) for further details on this approach.24 We use the classification Ateco 2002 provided by the National Institute of Statistics (ISTAT), the Italian National Institute of Statistics, which include firms with two-digit industry codes between 15 and 37 in the manufacturing sector.21©International Monetary Fund. Not for Redistribution…”
mentioning
confidence: 99%
“…Bentolila et al (2015) document that Spanish firms borrowing from banks heavily exposed to the 2008 Global financial crisis experienced significantly larger drops in employment, while Garicano & Steinwender (2016) find that they also shifted the types of investments undertaken from longer-term investments to short-term ones. Similarly, Cingano et al (2016) show that Italian firms that had relationships with banks heavily exposed to the interbank market experienced a larger drop in investment and employment (see also Balduzzi et al 2017, Bofondi et al 2018. Ferrando et al (2017) use firms' self-reported measures of financial constraints collected by the ECB SAFE survey to show that firms in countries severely affected by the 2012 Sovereign debt crisis faced lower access to credit.…”
Section: Relation To Literaturementioning
confidence: 99%
“…Another strand of the literature on financial constraints (see. e.g., Khwaja et al ., ; Bofondi et al ., ) suggests the adoption of a second set of dependent variables: the average of the annual growth rates of the credit obtained by a firm . We use the growth rates in 2010 and 2011 to compute the average.…”
Section: Data and Variablesmentioning
confidence: 99%