Working paper

Shadow Banking and the Great Recession: Evidence from an Estimated DSGE Model

Patrick Fève, Alban Moura, and Olivier Pierrard

Abstract

We argue that shocks to credit supply by shadow and retail banks were key to understanding 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.;

JEL codes

  • C32: Time-Series Models • Dynamic Quantile Regressions • Dynamic Treatment Effect Models • Diffusion Processes
  • E32: Business Fluctuations • Cycles

Replaced by

Patrick Fève, Alban Moura, and Olivier Pierrard, “The Fall in Shadow Banking and the Slow U.S. Recovery”, Journal of Economic Dynamics and Control, vol. 139, n. 104404, June 2022.

Reference

Patrick Fève, Alban Moura, and Olivier Pierrard, “Shadow Banking and the Great Recession: Evidence from an Estimated DSGE Model”, TSE Working Paper, n. 19-996, March 2019.

See also

Published in

TSE Working Paper, n. 19-996, March 2019