EconPapers    
Economics at your fingertips  
 

Macroeconomic Models with Incomplete Information and Endogenous Signals

Jonathan Adams

No 1004, Working Papers from University of Florida, Department of Economics

Abstract: This paper characterizes a general class of macroeconomic models with incomplete information, when the information process includes endogenous variables. I derive conditions for existence and uniqueness of equilibrium, which apply even when the model contains endogenous state variables, and I introduce an algorithm to solve the general model. As an application I consider a business cycle model with capital where firms must make inferences about aggregate shocks through the movements of endogenous prices. In this model, the central bank's policy rule determines the real effects of nominal shocks, by controlling how informative prices are about the aggregate state. The optimal policy targets acyclical inflation, which makes money neutral. Finally, I demonstrate an advantage of models with endogenous information: the noisy signals are driven by fundamental shocks, rather than ad hoc noise, so data can discipline the information structure. Accordingly, I calibrate the model using US industry-level panel data.

JEL-codes: C62 C63 D84 E32 (search for similar items in EconPapers)
Date: 2019-09
New Economics Papers: this item is included in nep-cba, nep-dge and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link)
http://users.clas.ufl.edu/adamsjonathan/files/endoginfo.pdf First version, 05-09-2019 (application/pdf)

Related works:
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:ufl:wpaper:001004

Access Statistics for this paper

More papers in Working Papers from University of Florida, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Jonathan Adams ().

 
Page updated 2022-07-08
Handle: RePEc:ufl:wpaper:001004