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Solving Rational Expectations Models with Informational Subperiods: A Perturbation Approach

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  • Anna Kormilitsina

Abstract

This paper presents an algorithm to solve up to the second order of approximation rational expectations models with informational subperiods, and provides simple examples to demonstrate how the algorithm works. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Anna Kormilitsina, 2013. "Solving Rational Expectations Models with Informational Subperiods: A Perturbation Approach," Computational Economics, Springer;Society for Computational Economics, vol. 41(4), pages 525-555, April.
    • Handle: RePEc:kap:compec:v:41:y:2013:i:4:p:525-555
    DOI: 10.1007/s10614-012-9321-3
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    7. Mario J. Miranda & Joseph W. Glauber, 1993. "Intraseasonal Demand for Fall Potatoes under Rational Expectations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 104-112.
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    Cited by:

    1. Sorge Marco M., 2020. "Computing sunspot solutions to rational expectations models with timing restrictions," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(2), pages 1-10, June.
    2. Angelini, Giovanni & Sorge, Marco M., 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    3. Anna Kormilitsina & Sarah Zubairy, 2018. "Propagation Mechanisms for Government Spending Shocks: A Bayesian Comparison," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(7), pages 1571-1616, October.
    4. Tomasz Makarewicz, 2017. "Contrarian Behavior, Information Networks and Heterogeneous Expectations in an Asset Pricing Model," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 231-279, August.
    5. Anna Kormilitsina, 2016. "Is Government Spending Predetermined? A Test of Identification for Fiscal Policy Shocks," Departmental Working Papers 1607, Southern Methodist University, Department of Economics.
    6. Frank Hespeler & Marco M. Sorge, 2019. "Solving Rational Expectations Models with Informational Subperiods: A Comment," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1649-1654, April.

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