gwp 2012
DOI: 10.24149/gwp120
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Global Banks, Financial Shocks and International Business Cycles: Evidence from an Estimated Model

Abstract: This paper estimates a two-country model with a global bank, using US and Euro Area (EA) data, and Bayesian methods. The estimated model matches key US and EA business cycle statistics. Empirically, a model version with a bank capital requirement outperforms a structure without such a constraint. A loan loss originating in one country triggers a global output reduction. Banking shocks matter more for EA macro variables than for US real activity. During the Great Recession (2007-09), banking shocks accounted fo… Show more

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Cited by 11 publications
(10 citation statements)
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“…We assume that such a shock produces a credit response on impact that is larger than the response of GDP, and that adverse macro shocks produce the opposite. These patterns of relative responses of credit and output to the two types of shock are consistent with the responses in the structural models with banking sectors of Cúrdia and Woodford (2010) and Kollmann (2013). We note that some other (empirical) papers distinguish the two types of shocks by imposing contemporaneous zero restrictions on the responses of GDP and inflation to credit or other financial shocks, thus restricting the macroeconomy to react to credit shocks only with a delay (e.g.…”
Section: Sign Restriction Choicessupporting
confidence: 53%
“…We assume that such a shock produces a credit response on impact that is larger than the response of GDP, and that adverse macro shocks produce the opposite. These patterns of relative responses of credit and output to the two types of shock are consistent with the responses in the structural models with banking sectors of Cúrdia and Woodford (2010) and Kollmann (2013). We note that some other (empirical) papers distinguish the two types of shocks by imposing contemporaneous zero restrictions on the responses of GDP and inflation to credit or other financial shocks, thus restricting the macroeconomy to react to credit shocks only with a delay (e.g.…”
Section: Sign Restriction Choicessupporting
confidence: 53%
“…Source: authors' own estimation using data from OECD and IMF, direction of trade There have been attempts to explain the high synchronization of the business cycles across countries by introducing financial integration in the models (see e.g. Stockman and Tesar 1995;Gertler et al 2007;Devereux and Yetman 2010;Kollmann, et al 2012;Alpanda and Aysun 2014). This goes some way in explaining this synchronization.…”
Section: Introductionmentioning
confidence: 99%
“…Several recent papers have also developed open economy models in which negative shocks to bank capital lead to a reduction in the supply of loans, and thus to a fall in domestic and foreign investment and output; see, e.g., Kollmann, Enders, and Müller (2011);Perri and Quadrini (2011);and Mendoza and Quadrini (2010). Empirical evidence of a cross-country bank credit channel is provided by Kollmann (2012).…”
Section: Financial Institutions As a Channel Of International Crmentioning
confidence: 99%