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Refining linear rational expectations models and equilibria
Affiliation:1. School of Economics, Yonsei University, 50 Yonsei-ro, Seodaemun-Gu, Seoul 120-749, Republic of Korea;2. Tepper School 256, Carnegie Mellon University, Pittsburgh, PA 15213, USA;3. National Bureau of Economic Research, Cambridge, MA 02138, USA
Abstract:This paper develops the case for forward convergence as a model refinement scheme for linear rational expectations models and an associated no-bubble condition as a solution selection criterion. We relate these two concepts to determinacy and characterize the complete set of economically relevant rational expectations solutions to the linear rational expectations models under determinacy and indeterminacy. Our results show (1) why a determinate solution is economically cogent in most, but not all, cases, and (2) that those models that are not forward-convergent have no economically relevant solutions.
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