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Hayekian expectations: Theory and empirical applications

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  • William Butos
  • Roger Koppl

Abstract

We show that the orderliness of market processes and outcomes, and hence the realization and coordination of individuals' plans, are dependent on the social environment in which individuals function. In specific, when atomicity and stable (social) rules are compromised in the case of Big Players, markets are less orderly despite the fact that individuals are behaving rationally.—The paper provides an account of individual rationality by generating a theory of expectations based on Hayek's cognitive theory. Hayekian expectations are coherent, competitive, and endogenous. This suggests that expectational analysis must take account of the context of constraint—the “environment” or what we call “filtering conditions”—within which individuals function and to which they must adapt. The paper provides a theoretical analysis of expectations at the individual level and shows that the particular behaviors stemming from those expectations require a specification of the rules governing social and market activities. Copyright George Mason University 1993

Suggested Citation

  • William Butos & Roger Koppl, 1993. "Hayekian expectations: Theory and empirical applications," Constitutional Political Economy, Springer, vol. 4(3), pages 303-329, September.
    • Handle: RePEc:kap:copoec:v:4:y:1993:i:3:p:303-329
    DOI: 10.1007/BF02393266
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    References listed on IDEAS

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    1. Daniel Klein, 1990. "The microfoundations of rules vs. discretion," Constitutional Political Economy, Springer, vol. 1(3), pages 1-19, September.
    2. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    3. Koppl, Roger, 2000. "Fritz Machlup and Behavioralism," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 9(4), pages 595-622, December.
    4. Langlois,Richard, 1989. "Economics as a Process," Cambridge Books, Cambridge University Press, number 9780521378598, September.
    5. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
    6. Cochrane, John H., 1991. "Volatility tests and efficient markets : A review essay," Journal of Monetary Economics, Elsevier, vol. 27(3), pages 463-485, June.
    7. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    8. LeRoy, Stephen F, 1989. "Efficient Capital Markets and Martingales," Journal of Economic Literature, American Economic Association, vol. 27(4), pages 1583-1621, December.
    9. William N. Butos & Roger G. Koppl, 1995. "The Varieties of Subjectivism: Keynes and Hayek on Expectations," Method and Hist of Econ Thought 9505001, University Library of Munich, Germany, revised 17 May 1995.
    10. Greene, Myron T. & Fielitz, Bruce D., 1977. "Long-term dependence in common stock returns," Journal of Financial Economics, Elsevier, vol. 4(3), pages 339-349, May.
    11. Benoit B. Mandelbrot, 1972. "Statistical Methodology for Nonperiodic Cycles: From the Covariance To R/S Analysis," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 1, number 3, pages 259-290, National Bureau of Economic Research, Inc.
    12. repec:bla:jfinan:v:43:y:1988:i:3:p:639-56 is not listed on IDEAS
    13. Kydland, Finn E & Prescott, Edward C, 1977. "Rules Rather Than Discretion: The Inconsistency of Optimal Plans," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 473-491, June.
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