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Learning in economics: the Austrian insights

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  • Pierre Garrouste

Abstract

In this contribution I first present a selective review of the literature on learning theories in economics. I then show that those theories are often assimilating knowledge to information or considering knowledge as a structure of information. Finally I discuss the possibility for those theories to be defined as Austrian and I conclude with a presentation of a research agenda.

Suggested Citation

  • Pierre Garrouste, 2001. "Learning in economics: the Austrian insights," ICER Working Papers 25-2001, ICER - International Centre for Economic Research.
  • Handle: RePEc:icr:wpicer:25-2001
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    References listed on IDEAS

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    1. Giovanni Dosi & Luigi Marengo & Giorgio Fagiolo, 1996. "Learning in evolutionary environment," CEEL Working Papers 9605, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    2. Fudenberg, Drew & Levine, David, 1998. "Learning in games," European Economic Review, Elsevier, vol. 42(3-5), pages 631-639, May.
    3. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    4. Rabin, Matthew, 1994. "Cognitive dissonance and social change," Journal of Economic Behavior & Organization, Elsevier, vol. 23(2), pages 177-194, March.
    5. Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January.
    6. Dulbecco, Philippe & Garrouste, Pierre, 1999. "Towards an Austrian Theory of the Firm," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 12(1), pages 43-64.
    7. Pierre Garrouste & Philippe Dulbecco, 1999. "Towards an Austrian Theory of the Firm," Post-Print halshs-01300362, HAL.
    8. Richard Langlois & Pierre Garrouste, 1997. "Cognition, Redundancy, And Learning In Organizations," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 4(4), pages 287-300.
    9. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    10. Drew Fudenberg & David K. Levine, 1998. "The Theory of Learning in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061945, December.
    11. H. Peyton Young, 1996. "The Economics of Convention," Journal of Economic Perspectives, American Economic Association, vol. 10(2), pages 105-122, Spring.
    12. Bernard Walliser, 1998. "A spectrum of equilibration processes in game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 67-87.
    13. John Conlisk, 1996. "Why Bounded Rationality?," Journal of Economic Literature, American Economic Association, vol. 34(2), pages 669-700, June.
    14. Latsis,, 1980. "Method and Appraisal in Economics," Cambridge Books, Cambridge University Press, number 9780521280501.
    15. Philippe Dulbecco & Pierre Garrouste, 1999. "Towards an Austrian theory of the firm," Post-Print halshs-00274296, HAL.
    16. repec:ucp:bkecon:9780226320687 is not listed on IDEAS
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    Cited by:

    1. Richard Arena & Lauren Larrouy, 2015. "The Role of Psychology in Austrian Economics and Game Theory: Subjectivity and Coordination," GREDEG Working Papers 2015-15, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

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