The implications of dynamic financial frictions for DSGE models
Uluc Aysun
No 2011-07, Working papers from University of Connecticut, Department of Economics
Abstract:
This paper shows that when financial frictions are dynamically modeled, broader inferences can be drawn from DSGE models with asymmetric information costs. By embedding a partial equilibrium framework of bankruptcy proceedings in a dynamic New Keynesian model I find, for example, that financial liberalization episodes are only effective in countries with an efficient judicial system. More generally, I find that the response of output to various shocks depends on the duration of bankruptcy proceedings. These relationships, however, are not strictly unidirectional. The responses to adverse shocks are amplified (mitigated) when the shocks also generate an increase (a decrease) in real interest rates and an increase (decrease) in the stock of bankruptcy cases. I find empirical support for one prediction of the model by investigating macroeconomic and foreclosure data from U.S. states; monetary policy is more effective in states that have longer foreclosure proceedings.
Keywords: Foreclosure; DSGE; financial frictions; court efficiency. (search for similar items in EconPapers)
JEL-codes: C63 E02 E44 E52 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2011-04
New Economics Papers: this item is included in nep-cba, nep-dge and nep-mac
Note: I thank James Guldi and Melanie Guldi for helpful comments and discussions.
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://media.economics.uconn.edu/working/2011-07.pdf Full text (application/pdf)
Related works:
Working Paper: The implications of dynamic financial frictions for DSGE models (2011) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:uct:uconnp:2011-07
Access Statistics for this paper
More papers in Working papers from University of Connecticut, Department of Economics University of Connecticut 365 Fairfield Way, Unit 1063 Storrs, CT 06269-1063. Contact information at EDIRC.
Bibliographic data for series maintained by Mark McConnel ().