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A Biased Expectation Equilibrium in Indeterminate DSGE Models
School of Commerce, Meiji University, Tokyo, Japan
- 1 School of Commerce, Meiji University, Tokyo, Japan
Theoretical Economics Letters·Volume 02 (2012)·Pages 287–290·Published 2 August 2012·DOI10.4236/tel.2012.23053
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Abstract
The aim of this article is to introduce a solution method for an indeterminate dynamic stochastic general equilibrium (DSGE) model. The method uses the concept of a biased expectation equilibrium, which is defined in this paper and means that expectations of certain variable are mechanically biased against those that would be rational. Our method should be particularly useful in terms of empirical estimation using DSGE models, because it will allow researchers to estimate how much agents’ expectations are biased in the case where a model has indeterminacy.
KeywordsDSGE ModelingRational Expectations ModelIndeterminacy
- E. M. Leeper, “Equilibria under ‘Active’ and ‘Passive’ Monetary and Fiscal Policies,” Journal of Monetary Economics, Vol. 27, No. 1, 1991, pp. 129-147. doi:10.1016/0304-3932(91)90007-B
- J. Fernández-Villaverde, “The Econometrics of DSGE Models,” NBER Working Paper, No. 14677, 2009.
- F. Smets and R. Wouters, “An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area,” Journal of the European Economic Association, Vol. 20, 2003, pp. 1123-1175. doi:10.1162/154247603770383415
- T. A. Lubik and F. Schorfheide, “Testing for Indeterminacy: An Application to US Monetary Policy,” American Economic Review, Vol. 94, No. 1, 2007, pp. 190-217. doi:10.1257/000282804322970760
- M. Del Negro and F. Schorfheide, “Priors from General Equilibrium Models for VARs,” International Economic Review, Vol. 45, No. 2, 2004, pp. 643-673. doi:10.1111/j.1468-2354.2004.00139.x
- T. A. Lubik and F. Schorfheide, “Computing Sunspot Equilibria in Linear Rational Expectations Models,” Journal of Economic Dynamics and Control, Vol. 28, No. 2, 2003, pp. 273-285. doi:10.1016/S0165-1889(02)00153-7
- C. A. Sims, “Solving Linear Rational Expectations Models,” Computational Economics, Vol. 20, No. 1-2, 2001, pp. 1-20.
- H. Uhlig, “A Toolkit for Analyzing Nonlinear Dynamic Stochastic Model Easily,” In: R. Marimon and A. Scott, Eds., Computational Methods for the Study of Dynamic Economics, Oxford University Press, Oxford, 1999, pp. 30-61.
- R. E. A. Farmer and J. T. Guo, “Real Business Cycles and the Animal Spirits Hypothesis,” Journal of Economic Theory, Vol. 63, No. 1, 1994, pp. 42-72. doi:10.1006/jeth.1994.1032