Incomplete Markets and Aggregate Demand
Iván Werning
No 932, 2016 Meeting Papers from Society for Economic Dynamics
Abstract:
I study the relationship between aggregate consumption and interest rates when mar- kets are incomplete. I first provide a generalized Euler relation involving the real interest rate, current and future aggregate consumption under extreme illiquidity (no borrowing and no outside assets). This provides a tractable way of incorporating incomplete markets into macroeconomic models. When household income risk is acyclical I show that this relation coincides with that of a representative agent, al- though time-varying discount factors may potentially act as aggregate demand shocks. The same representation extends to the case with positive liquidity as long as liquidity relative to income is acyclical. A corollary of these ‘as if’ results is that forward guid- ance policies are as powerful as in representative agent models. Away from the ‘as if’ benchmark, I show that aggregate consumption becomes more sensitive to inter- est rates, especially future ones, when idiosyncratic income risk is countercyclical or when liquidity is procyclical. Finally, I also apply my analysis to a Real Business Cy- cle model, providing an exact analytical aggregation result that complements existing numerical findings.
Date: 2016
New Economics Papers: this item is included in nep-dge and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
https://red-files-public.s3.amazonaws.com/meetpapers/2016/paper_932.pdf (application/pdf)
Related works:
Working Paper: Incomplete Markets and Aggregate Demand (2015) 
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:red:sed016:932
Access Statistics for this paper
More papers in 2016 Meeting Papers from Society for Economic Dynamics Contact information at EDIRC.
Bibliographic data for series maintained by Christian Zimmermann ().