IDEAS home Printed from https://ideas.repec.org/p/ake/iiepdt/201828.html
   My bibliography  Save this paper

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

    Download full text from publisher

    File URL: http://iiep-baires.econ.uba.ar/uploads/publicaciones/455/archivos/1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. George William Evans, 2001. "Expectations in Macroeconomics Adaptive versus Eductive Learning," Revue économique, Presses de Sciences-Po, vol. 52(3), pages 573-582.
    4. 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.
    5. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.
    6. 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.
    7. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    8. 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.
    9. Joseph E. Stiglitz & Daniel Heymann (ed.), 2014. "Life After Debt," International Economic Association Series, Palgrave Macmillan, number 978-1-137-41148-8, December.
    10. Robert J. Barro, 2005. "Rare Events and the Equity Premium," NBER Working Papers 11310, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kedar-Levy, Haim, 2020. "Price discovery in the small and in the large: Momentum and reversal, bubbles, and crashes," Journal of Financial Markets, Elsevier, vol. 48(C).
    2. Evans, George W. & Hommes, Cars & McGough, Bruce & Salle, Isabelle, 2022. "Are long-horizon expectations (de-)stabilizing? Theory and experiments," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 44-63.
    3. Wang, Xiao-Qing & Wu, Tong & Zhong, Huaming & Su, Chi-Wei, 2023. "Bubble behaviors in nickel price: What roles do geopolitical risk and speculation play?," Resources Policy, Elsevier, vol. 83(C).
    4. Hommes, Cars & Huber, Stefanie J. & Minina, Daria & Salle, Isabelle, 2024. "Learning in a complex world: Insights from an OLG lab experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 813-837.
    5. Klaus Adam & Albert Marcet & Juan Pablo Nicolini, 2016. "Stock Market Volatility and Learning," Journal of Finance, American Finance Association, vol. 71(1), pages 33-82, February.
    6. Golec, Joseph, 1997. "Herding on Noise: The Case of Johnson Redbook's Weekly Retail Sales Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(3), pages 367-381, September.
    7. Halim, Edward & Riyanto, Yohanes Eko & Roy, Nilanjan, 2016. "Price Dynamics and Consumption Smoothing in Experimental Asset Markets," MPRA Paper 71631, University Library of Munich, Germany.
    8. Li, Kai, 2021. "Nonlinear effect of sentiment on momentum," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    9. Jin, Lawrence J. & Sui, Pengfei, 2022. "Asset pricing with return extrapolation," Journal of Financial Economics, Elsevier, vol. 145(2), pages 273-295.
    10. Klaus Adam & Albert Marcet & Johannes Beutel, 2017. "Stock Price Booms and Expected Capital Gains," American Economic Review, American Economic Association, vol. 107(8), pages 2352-2408, August.
    11. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, April.
    12. Cheng, Feiyang & Wang, Chunfeng & Cui, Xin & Wu, Ji & He, Feng, 2021. "Economic policy uncertainty exposure and stock price bubbles: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 78(C).
    13. Assaf, Ata & Demir, Ender & Ersan, Oguz, 2024. "Detecting and date-stamping bubbles in fan tokens," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 98-113.
    14. Goldbaum, David, 2008. "Coordinated investing with feedback and learning," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 202-223, February.
    15. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2007. "Learning, Structural Instability, and Present Value Calculations," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 253-288.
    16. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    17. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    18. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank H., 2022. "Boom-bust cycles and asset market participation waves: Momentum, value, risk and herding," BERG Working Paper Series 177, Bamberg University, Bamberg Economic Research Group.
    19. Itzhak Ben-David & Francesco Franzoni & Byungwook Kim & Rabih Moussawi & Ralph Koijen, 2023. "Competition for Attention in the ETF Space," The Review of Financial Studies, Society for Financial Studies, vol. 36(3), pages 987-1042.
    20. Ricardo Crespo & Daniel Heymann & Pablo Schiaffino, 2015. "Dealing with uncertainty evolving beliefs, rationalizations & the origins of economic crises," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET) 2015-8, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET).

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ake:iiepdt:201828. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: IIEP UBA-CONICET (email available below). General contact details of provider: https://edirc.repec.org/data/ieeubar.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.