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Identification Problems in SDGE Models with an illustration to a small Macro model

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Author Info
Andreas Beyer () (DG- Research European Central Bank)
Roger E.A. Farmer (UCLA)

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Abstract

We study identification in a class of linear rational expectations models. For any given exactly identified model, we provide an algorithm that generates a class of equivalent models that have the same reduced form. We use our algorithm to show that a model proposed by Jess Benhabib and Roger Farmer is observationally equivalent to the standard new-Keynesian model when observed over a single policy regime. However, the two models have different implications for the design of an optimal policy rule

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Publisher Info
Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 81.

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Date of creation: 04 Jul 2006
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Handle: RePEc:sce:scecfa:81

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Related research
Keywords: Identification; SDGE models;

Find related papers by JEL classification:
C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
C62 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Existence and Stability Conditions of Equilibrium
D51 - Microeconomics - - General Equilibrium and Disequilibrium - - - Exchange and Production Economies

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  1. Alexander Kriwoluzky, 2009. "Matching Theory and Data: Bayesian Vector Autoregression and Dynamic Stochastic General Equilibrium Models," Economics Working Papers ECO2009/29, European University Institute. [Downloadable!]
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This page was last updated on 2009-11-13.


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