Skip to main content

Memory, Learning and the Selection of Equilibria in a Model with Non-Uniqueness

  • Chapter
Computational Techniques for Modelling Learning in Economics

Part of the book series: Advances in Computational Economics ((AICE,volume 11))

  • 191 Accesses

Abstract

This paper analyzes a model characterized by multiple equilibria under bounded rationality in a stochastic and in a deterministic setting. We want to address the following questions: does memory of the learning process help to learn Rational Expectational Equilibria (REE)? does memory affect the selection of the equilibria according to the expectational stability criterion?

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  • Balasko, R.: 1996, ‘Stability of competitive equilibria with respect to recursive and learning processes’. Journal of Economic Theory 68, 319–348.

    Article  Google Scholar 

  • Barucci, E.: 1997, ‘Exponentially fading memory learning in forward looking economic models’. University of Florence, Florence.

    Google Scholar 

  • Barucci, E. and Landi, L.: 1997, ‘Least mean squares learning in self-referential linear stochastic models’. Economics Letters 57, 313–317.

    Article  Google Scholar 

  • Barucci, E. and Landi, L.: 1996, ‘Nonlinear versus linear learning devices: a procedural perspective’. University of Florence, Florence.

    Google Scholar 

  • Bischi, G. and Gardini, L.: 1995, ‘Mann iterations reducible to plane endomorphisms’. University of Urbino, Urbino.

    Google Scholar 

  • Evans, G. and Honkapohja, S.: 1996, ‘Economic dynamics with learning: New stability results’. University of Oregon, Oregon.

    Google Scholar 

  • Evans, G.: 1986, ‘Selection criteria for models with non-uniqueness’. Journal of Monetary Economics 23, 297–317.

    Article  Google Scholar 

  • Evans, G. and Honkapohja, S.: 1995, ‘Increasing social returns, learning, and bifurcation phenomena’. In: Kirman, A. and Salmon, M. (Eds.), Learning and Rationality in Economics, Oxford: Blackwell, pp. 216–235.

    Google Scholar 

  • Gauthier, S.: 1997, ‘Learning dynamics and the memory effect’. Delta, Paris.

    Google Scholar 

  • Grandmont, J. and Laroque, G.: 1991, ‘Economic dynamics with learning: Some instability examples’. In: Barnett W., Cornet B., D’Aspremont C. J. and Mas-Colell, A. (Eds.), Equilibrium Theory and Applications, Cambrdige: Cambridge University press, pp. 256–288.

    Google Scholar 

  • Ljiung, L.: 1977, ‘Analysis of recursive stochastic algorithms’. IEEE Transactions on Automatic Control 4, 551–575.

    Article  Google Scholar 

  • Marcet, A. Sargent, T.: 1989, ‘Convergence of Least Squares learning mechanisms in self—referential linear stochastic models’. Journal of Economic Theory 48, 337–368.

    Article  Google Scholar 

  • McCallum, B.: 1989, Monetary Economics, New York: Maxwell MacMillian International Editions.

    Google Scholar 

  • Mira, C., Gardini, L., Barugola, A. and Cathala, J.: 1996, Chaotic Dynamics in Two-Dimensional Noninvertible Maps, Singapore: World Scientific.

    Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer Science+Business Media New York

About this chapter

Cite this chapter

Barucci, E. (1999). Memory, Learning and the Selection of Equilibria in a Model with Non-Uniqueness. In: Brenner, T. (eds) Computational Techniques for Modelling Learning in Economics. Advances in Computational Economics, vol 11. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5029-7_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-5029-7_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7285-1

  • Online ISBN: 978-1-4615-5029-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics