2014
DOI: 10.1016/s2212-5671(14)00669-8
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Credit Cycles and Business Cycles in Twenty EU Economies

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Cited by 13 publications
(5 citation statements)
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“…Claessens et al (2012) show that the rapid credit growth tends to amplify the economic expansions. Apostoaie and Percic (2014) confirm a positive relation between the credit cycle and the business cycle in the 12 European countries. Credit risk of banks is linked to the phase of the business cycle (Bikker & Metzemakers, 2005).…”
Section: Literature Reviewsupporting
confidence: 55%
“…Claessens et al (2012) show that the rapid credit growth tends to amplify the economic expansions. Apostoaie and Percic (2014) confirm a positive relation between the credit cycle and the business cycle in the 12 European countries. Credit risk of banks is linked to the phase of the business cycle (Bikker & Metzemakers, 2005).…”
Section: Literature Reviewsupporting
confidence: 55%
“…The positive coefficient for logarithm of GDP per capita is at 1% significance, suggesting that the economic growth leads to an increase of the credit level. In other words, a high economic growth favors credit cycles in line with existing studies on the issues (Kiss et al (2006), Igan and Tan (2015), Mendoza and Terrones (2008), Chen et al (2012), Duprey (2012), Apostoaie and Percic, 2014) Note: The Granger non-causality test of Dumitrescu & Hurlin (2012) is used, H0: X does not Granger-cause Y, H1: X does Granger-cause Y for at least one panelvar (country). *, **, *** is significant levels at 10%, 5%, and 1%, respectively.…”
Section: The Global Samplementioning
confidence: 60%
“…Thus, SMEs in these countries face higher interest rates, larger credit constraints and higher costs of switching across banks, implying that they are also more likely to benefit from positive credit supply shocks. Hence, using a similar empirical strategy as Greenstone et al (2019) for the case of the US, this paper studies the impact of bank-specific credit shocks on employment in a LMIE, Mexico. The relationship between credit growth and aggregate economic outcomes has been well-documented in the macro literature, in which it has been shown that these variables tend to co-move for both AEs (Apostoaie et al, 2014;Azariadis, 2018) and LMIEs (García-Escribano and Han, 2015). However, identifying a causal link between credit and these outcomes is a difficult empirical task, for obvious concerns of omitted variables and reverse causality.…”
Section: Introductionmentioning
confidence: 93%