Shadow banking and the Great Recession: Evidence from an estimated DSGE model

Patrick Fève, Alban Moura and Olivier Pierrard

No 125, BCL working papers from Central Bank of Luxembourg

Abstract: We argue that shocks to credit supply by shadow and retail banks were key to understand the behavior of the US economy during the Great Recession and the Slow Recovery. We base this result on an estimated DSGE model featuring a rich representation of credit flows. Our model selects the two banking shocks as the most important drivers of the crisis because they account simultaneously for the fall in real activity, the decline in credit intermediation and the rise in lending-borrowing spreads. On the other hand, in contrast with the existing literature, our results assign only a moderate role to productivity and investment efficiency shocks.

Keywords: Shadow banking; Great Recession; slow recovery; estimated DSGE models. (search for similar items in EconPapers)
JEL-codes: C32 E32 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2019-03
New Economics Papers: this item is included in nep-ban, nep-dge, nep-fdg and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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https://www.bcl.lu/en/publications/Working-papers/125/BCLWP125.pdf (application/pdf)

Related works:
Journal Article: The fall in shadow banking and the slow U.S. recovery (2022)
Working Paper: Shadow Banking and the great recession: evidence from an estimated DSGE model (2019)
Working Paper: Shadow Banking and the Great Recession (2019)
Working Paper: Shadow Banking and the Great Recession: Evidence from an Estimated DSGE Model (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:bcl:bclwop:bclwp125

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