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Online Appendix to "Indeterminacy and Imperfect Information"

Author

Listed:
  • Thomas Lubik

    (Federal Reserve Bank of Richmond)

  • Christian Matthes

    (Indiana University)

  • Elmar Mertens

    (Deutsche Bundesbank)

Abstract

Online appendix for the Review of Economic Dynamics article

Suggested Citation

  • Thomas Lubik & Christian Matthes & Elmar Mertens, 2022. "Online Appendix to "Indeterminacy and Imperfect Information"," Online Appendices 20-377, Review of Economic Dynamics.
    • Handle: RePEc:red:append:20-377
    Note: The original article was published in the Review of Economic Dynamics
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. 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).
    3. Jia, Chengcheng, 2023. "The informational effect of monetary policy and the case for policy commitment," European Economic Review, Elsevier, vol. 156(C).
    4. 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

    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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