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On The (In)Consistency of Re Modeling

Author

Listed:
  • Daniel Heymann

    (Instituto Interdisciplinario de Economía Política de Buenos Aires - UBA - CONICET)

  • Paulo Daniel Pascuini

    (Instituto Interdisciplinario de Economía Política de Buenos Aires - UBA - CONICET)

Abstract

Rational Expectations (RE) is typically interpreted as: (i) an equivalence between the probability distribution of future outcomes informing agents´ decisions and the objective distributions; or: (ii) a correspondence between the expectations of agents and those generated by professionally validated models. Both definitions differ, unless absolute validity is counterfactually attributed fallible models built by economists. Another ambiguity arises with the model-consistency notion, since what is considered relevant theory has varied over time and across researchers, especially in Macroeconomics. These issues affect the logic and significance of analytical procedures for treating expectations, and seem particularly pertinent when studying crises.

Suggested Citation

  • Daniel Heymann & Paulo Daniel Pascuini, 2018. "On The (In)Consistency of Re Modeling," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET) 2018-28, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET).
  • Handle: RePEc:ake:iiepdt:201828
    as

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    References listed on IDEAS

    as
    1. Grossman, Sanford J & Stiglitz, Joseph E, 1976. "Information and Competitive Price Systems," American Economic Review, American Economic Association, vol. 66(2), pages 246-253, May.
    2. Daniel Heymann & Axel Leijonhufvud, 2014. "Multiple Choices: Economic Policies in Crisis," International Economic Association Series, in: Joseph E. Stiglitz & Daniel Heymann (ed.), Life After Debt, chapter 5, pages 281-308, Palgrave Macmillan.
    3. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    4. Joseph E. Stiglitz & Daniel Heymann (ed.), 2014. "Life After Debt," International Economic Association Series, Palgrave Macmillan, number 978-1-137-41148-8, December.
    5. George William Evans, 2001. "Expectations in Macroeconomics Adaptive versus Eductive Learning," Revue économique, Presses de Sciences-Po, vol. 52(3), pages 573-582.
    6. Guzman Martin & Heymann Daniel, 2015. "The IMF Debt Sustainability Analysis: Issues and Problems," Journal of Globalization and Development, De Gruyter, vol. 6(2), pages 387-404, December.
    7. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.
    8. Robert J. Barro, 2005. "Rare Events and the Equity Premium," NBER Working Papers 11310, National Bureau of Economic Research, Inc.
    9. Lansing, Kevin J., 2006. "Lock-In Of Extrapolative Expectations In An Asset Pricing Model," Macroeconomic Dynamics, Cambridge University Press, vol. 10(3), pages 317-348, June.
    10. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
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    More about this item

    Keywords

    Macroeconomics; Rational Expectations; Model Consistency;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology

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