Role of the Minimal State Variable Criterion in Rational Expectations Models
Bennett McCallum
International Tax and Public Finance, 1999, vol. 6, issue 4, 639 pages
Abstract:
This paper concerns the minimal-state-variable (MSV) criterion for selection among solutions in rational expectationsmodels that feature a multiplicity of paths that satisfy all of the model's conditions. It compares the MSVcriterion with others, including the widely used saddle-path (dynamic stability) criterion. It is emphasized that theMSV criterion can be viewed as a scientifically useful classification scheme that delineates the unique solutionthat is free of bubble components. In the process of demonstrating uniqueness for a broad class of linear models,the paper exposits a convenient computational procedure. Applications to current issues are outlined. Copyright Kluwer Academic Publishers 1999
Keywords: expectations; bubbles; uniqueness; stability; state variables; multiplicity (search for similar items in EconPapers)
Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (90)
Downloads: (external link)
http://hdl.handle.net/10.1023/A:1008746610773 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Role of the minimal state variable criterion in rational expectations models 
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:kap:itaxpf:v:6:y:1999:i:4:p:621-639
Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/10797/PS2
DOI: 10.1023/A:1008746610773
Access Statistics for this article
International Tax and Public Finance is currently edited by Ronald B. Davies and Kimberly Scharf
More articles in International Tax and Public Finance from Springer, International Institute of Public Finance Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().