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Indeterminacy and Imperfect Information

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Abstract
We study equilibrium determination in an environment where two kinds of agents have different information sets: The fully informed agents know the structure of the model and observe histories of all exogenous and endogenous variables. The less informed agents observe only a strict subset of the full information set. All types of agents form expectations rationally, but agents with limited information need to solve a dynamic signal extraction problem to gather information about the variables they do not observe. We show that for parameter values that imply a unique equilibrium under full information, the limited information rational expectations equilibrium can be indeterminate. We illustrate our framework with a monetary policy problem where an imperfectly informed central bank follows an interest rate rule.

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  • Thomas A. Lubik & Christian Matthes & Elmar Mertens, 2019. "Indeterminacy and Imperfect Information," Working Paper 19-17, Federal Reserve Bank of Richmond.
  • Handle: RePEc:fip:fedrwp:19-17
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    Cited by:

    1. Haque, Qazi & Groshenny, Nicolas & Weder, Mark, 2021. "Do we really know that U.S. monetary policy was destabilizing in the 1970s?," European Economic Review, Elsevier, vol. 131(C).
    2. 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.
    3. Tom D. Holden, 2024. "Robust Real Rate Rules," Econometrica, Econometric Society, vol. 92(5), pages 1521-1551, September.
    4. 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).
    5. Paul Levine & Joseph Pearlman & Stephen Wright & Bo Yang, 2023. "Imperfect Information and Hidden Dynamics," School of Economics Discussion Papers 1223, School of Economics, University of Surrey.

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    More about this item

    Keywords

    Limited information; rational expectations; Kalman filter; belief shocks;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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