The Review of Austrian Economics

, Volume 25, Issue 3, pp 223–241 | Cite as

Hayek, Keynes, and modern macroeconomics

  • Roger Koppl
  • William J. LutherEmail author


The Great Recession seems to be creating a change in the trend of macroeconomic thinking. Prior to the financial crisis of 2008, dynamic stochastic general equilibrium (DSGE) models dominated the macroeconomics literature without any apparent challengers on the horizon. Since then, however, we have seen an increasing interest in macroeconomic models that address the state of confidence (“animal spirits”), complexity, cognition, and radical uncertainty. Most of the renewed interest in animal spirits, complexity, cognition, and radical uncertainty has come from a more or less “Keynesian” perspective. We discuss the potential to emphasize these elements from a more “Hayekian” perspective and argue that Austrian approaches to macroeconomics along these lines are more likely to resonate with mainstream economists than in years past.


Animal spirits Cognition Complexity Great recession Hayek Keynes Radical uncertainty State of confidence 

JEL codes

B53 E32 G12 E5 E6 


  1. Akerlof, G. A., & Shiller, R. J. (2009). Animal spirits: How human psychology drives the economy, and why it matters for global capitalism. Princeton: Princeton University Press.Google Scholar
  2. Boettke, P. J., & Luther, W. J. (2010). “The ordinary economics of an extraordinary crisis.” Macroeconomic theory and its failings: Alternative perspectives on the global financial crisis. Steven Kates, ed. Cheltenham: Edward Elgar, 14–25.Google Scholar
  3. Brock, W. A., Durlauf, S. N., & West, K. D. (2003). Policy analysis in uncertain economic environments. Brookings Papers on Economic Activity, 1, 235–322.CrossRefGoogle Scholar
  4. Brock, W. A., Durlauf, S. N., & West, K. D. (2007). Model uncertainty and policy evaluation: some theory and empirics. Journal of Econometrics, 136(2), 629–664.CrossRefGoogle Scholar
  5. Butos, W. N., & Koppl, R. G. (1997). The varieties of subjectivism: Keynes and Hayek on expectations. History of Political Economy, 29(2), 327–359.CrossRefGoogle Scholar
  6. Caballero, R. J. (2010). Macroeconomics after the crisis: Time to deal with the pretense-of-knowledge syndrome. Journal of Economic Perspectives, 24(4), 85–102.CrossRefGoogle Scholar
  7. Caballero, R. J., & Simsek, A. (2009). “Complexity and financial panics.” NBER Working Paper 14997.Google Scholar
  8. Camerer, C., & Weber, M. (1992). Recent developments in modeling preferences: uncertainty and ambiguity. Journal of Risk and Uncertainty, 5, 325–370.CrossRefGoogle Scholar
  9. Camerer, C., Loewenstein, G., & Prelec, D. (2005). Neuroeconomics: how neuroscience can inform economics. Journal of Economic Literature, 43(1), 9–64.CrossRefGoogle Scholar
  10. Chaitin, G. J., da Costa N. C. A., Doria, F. A. (2010). After Gödel: Exploits into an undecidable world, manuscript. (Forthcoming as Gödel’s Way: Exploits into an Undecidable World, CRC Press.)Google Scholar
  11. Coase, R. H. (1974). The market for goods and the market for ideas. The American Economic Review, 64(2), 384–391.Google Scholar
  12. Cockshott, P., Mackenzie, L., & Michaelson, G. (2008). Physical constraints on hypercomputation. Theoretical Computer Science, 394(3), 159–174.Google Scholar
  13. Cogley, T., & Sargent, T. J. (2005). The conquest of US inflation: Learning and robustness to model uncertainty. Review of Economic Dynamics, 8(2), 528–563.CrossRefGoogle Scholar
  14. Colander, D. (2010). “Written testimony of David Colander submitted to the congress of the United States, House Science and Technology Committee, July 20th, 2010.”Google Scholar
  15. Committee on Science and Technology, U.S. House of Representatives. (2010). “Variety of economic models needed, members hear.” Press release. Washington, D.C.: July 20. Available online: <>.
  16. Cosmides, L., & Tooby, J. (1992). In J. Barkow, L. Cosmides, & J. Tooby (Eds.), The psychological foundations of culture,” The adapted mind: Evolutionary psychology and the generation of culture (pp. 19–136). Oxford: Oxford University Press.Google Scholar
  17. Cosmides, L., & Tooby, J. (1994). Better than rational: evolutionary psychology and the invisible hand. The American Economic Review, 84, 327–332.Google Scholar
  18. Cosmides, L., & Tooby, J. (1997). Evolutionary psychology: A primer. Available online: <>.
  19. da Costa, N. C. A., & Doria, F. A. (2009). How to build a hypercomputer. Applied Mathematics and Computation, 215(4), 1361–1367.Google Scholar
  20. D’Amico, D. J., & Boettke, P. J. (2010). Making sense out of the sensory order. Advances in Austrian Economics, 13, 357–381.CrossRefGoogle Scholar
  21. De Grauwe, P. (2010). “Animal spirits and monetary policy.” Economic theory, forthcoming.Google Scholar
  22. Debreu, G. (1974). Excess demand functions. Journal of Mathematical Economics, 1, 15–21.CrossRefGoogle Scholar
  23. Gatti, D., Domenico, M. G., Greenwald, B. C., Russo, A., & Stiglitz, J. E. (2006). Business fluctuations in a credit-network economy. Physica A, 370, 68–74.CrossRefGoogle Scholar
  24. Gatti, D., Domenico, M. G., Greenwald, B. C., Russo, A., & Stiglitz, J. E. (2009). Business fluctuations and bankruptcy avalanches in an evolving network economy. Journal of Economic Interaction and Coordination, 4, 195–212.CrossRefGoogle Scholar
  25. Di Iorio, F. (2010). “The sensory order and the neurophysiological basis of methodological individualism.” The social science of Hayek’s the sensory order, W. Butos, (Ed.) Advances in Austrian Economics, 12: 179–210.Google Scholar
  26. Diamond, A. M., Jr. (1988). Science as a rational enterprise. Theory and Decision, 24, 147–167.CrossRefGoogle Scholar
  27. Dilthey, W. (1961). Pattern and meaning in history. New York: Harper Torchbooks.Google Scholar
  28. Dilthey, W. (1976). W. Dilthey: Selected writings. H. Rickman, trans. and (Ed.) Cambridge: Cambridge University Press.Google Scholar
  29. Epstein, L. G., & Wang, T. (1994). Intertemporal asset pricing under knightian uncertainty. Econometrica, 62, 283–322.CrossRefGoogle Scholar
  30. Friedman, D. (2004). “Economics and evolutionary psychology,” Evolutionary Psychology and Economic Theory. In: R. Koppl (Ed.), Advances in Austrian Economics, 7: 17–33.Google Scholar
  31. Frydman, R., & Goldberg, M. D. (2009). Financial markets and the state: Long swings, risk, and the scope of regulation. Capitalism and Society, 4(2), 1–44.CrossRefGoogle Scholar
  32. Gadamer, H.-G. (1975). Truth and method. New York: The Seabury Press.Google Scholar
  33. Gadamer, H.-G. (1981). Reason in the age of Science (trans: Lawrence, F.) Cambridge: The MIT Press.Google Scholar
  34. Gigerenzer, G., & Selten, R. (2001). Bounded rationality: The adaptive toolbox. Cambridge: MIT Press.Google Scholar
  35. Gode, D. K., & Sunder, S. (1993). Allocative efficiency of markets with zero intelligence traders: market as a partial substitute for individual rationality. Journal of Political Economy, 101, 119–137.CrossRefGoogle Scholar
  36. Glimcher, P. W. (2011). Foundations of neuroeconomic analysis. Oxford: Oxford University Press.Google Scholar
  37. Greenspan, A. (2008). “Testimony of Dr. Allan Greenspan.” Prepared for Committee of Government Oversight and Reform. October 23. Available online:
  38. Haldane, A. (2009). “Rethinking the Financial Network,” Speech delivered at the Financial Student Association, Amsterdam. Available online: <>.
  39. Hall, R. E. (2010). Why does the economy fall to pieces after a financial crisis? Journal of Economic Perspectives, 24(4), 3–20.CrossRefGoogle Scholar
  40. Hayek, F. A. (1937). Economics and knowledge. Economica, 4(13), 33–54.CrossRefGoogle Scholar
  41. Hayek, F. A. (1939). “Price Expectations, Monetary Disturbances and Malinvestments,” in his Profits, Interest and Investment. London: George Routledge & Sons, Ltd. Reprinted in 1975 by Augustus M. Kelley Publishers, Clifton, NJ.Google Scholar
  42. Hayek, F. A. (1945). The use of knowledge in society. The American Economic Review, 35(4), 519–530.Google Scholar
  43. Hayek, F. A. (1952). The sensory order: An inquiry into the foundations of theoretical psychology. Chicago: University of Chicago Press.Google Scholar
  44. Hayek, F. A. (1967). The theory of complex phenomena. In F. A. Hayek (Ed.), Studies in philosophy, politics and economics. Chicago: The University of Chicago Press.Google Scholar
  45. Hayek, F. A. (1973). Law, legislation, and liberty, 1. Chicago: University of Chicago Press.Google Scholar
  46. Hayek, F. A. (1988). In W. Bartley III (Ed.), The fatal conceit. Chicago: University of Chicago Press.Google Scholar
  47. Horwitz, S. (2000). Microfoundations and macroeconomics: An Austrian perspective. London and New York: Routledge.CrossRefGoogle Scholar
  48. Hsu, M., Bhatt, M., Adolphs, R., Tranel, D., & Camerer, C. F. (2005). Neural systems responding to degrees of uncertainty in human decision-making. Science, 130, 1680–1683.CrossRefGoogle Scholar
  49. Huettel, S. C., Stowe, J., Gordon, E. M., Warner, B. T., & Platt, M. L. (2006). Neural signatures of economic preferences for risk and ambiguity. Neuron, 49, 765–775.CrossRefGoogle Scholar
  50. Inukai, K., & Takahashi, T. (2006). Distinct neuropsychological processes may mediate decision-making under uncertainty with known and unknown probability in gain and loss frames. Medical Hypotheses, 67(2), 283–286.CrossRefGoogle Scholar
  51. Ioannidis, J. P.A. (2005). “Why most published research findings are false,” PLoS Med 2(8): e124 (0696–0701). Available online: <>.
  52. Kahneman, D., & Tversky, A. (1979). Prospect theory: an analysis of decision under risk. Econometrica, 47, 263–291.CrossRefGoogle Scholar
  53. Keynes, J. M. (1936). The general theory of employment, interest and money, London: Macmillan. Reprinted in Collected Writings, Vol. VII. New York: St. Martin’s Press, 1973.Google Scholar
  54. Kirman, A. (2009). “The economic crisis is a crisis for economic theory,” manuscript. Available online: <>.
  55. Knight, F. H. (1937). Unemployment: And Mr. Keynes’s revolution in economic theory. Canadian Journal of Economics and Political Science, 3(1), 100–123.CrossRefGoogle Scholar
  56. Koppl, R., & Luther, W. J. (2010). “Cognition and animal spirits in macroeconomics.” Manuscript.Google Scholar
  57. Koppl, R. (2002). Big players and the economic theory of expectations. London and New York: Palgrave Macmillan.CrossRefGoogle Scholar
  58. Koppl, R. (2006). Austrian economics at the cutting edge. Review of Austrian Economics, 19, 231–241.CrossRefGoogle Scholar
  59. Koppl, R. (2010). Some epistemological implications of economic complexity. Journal of Economic Behavior and Organization, 76, 859–872.CrossRefGoogle Scholar
  60. Leeson, P. (2010). Two cheers for capitalism? Society, 47(3), 227–233.CrossRefGoogle Scholar
  61. Levin, A., & Williams, J. C. (2003). Robust monetary policy with competing reference models. Journal of Monetary Economics, 50(5), 945–975.CrossRefGoogle Scholar
  62. Levy, D. M. (2001). How the dismal science got its name: Classical economics and the ur-text of racial politics. Ann Arbor: University of Michigan Press.Google Scholar
  63. Levy, D. (2009). Public choice for sheeple. A review of the myth of the rational voter. Journal of Economic Behavior and Organization, 69(3), 288–294.CrossRefGoogle Scholar
  64. Levy, D. M., & Peart, S. J. (2006). The fragility of a discipline when a model has monopoly status. Review of Austrian Economics, 19, 125–136.CrossRefGoogle Scholar
  65. Levy, D., & Peart, S. J. (2008a). Thinking about analytical egalitarianism. American Journal of Economics and Sociology, 67(3), 473–479.CrossRefGoogle Scholar
  66. Levy, D., & Peart, S. (2008b). “An expert-induced bubble: The nasty role of ratings agencies in the busted housing market.” Reason magazine, 30 September. Available online: <>.
  67. Levy, D. M., & Peart, S. J. (2010). “Tullock on motivated inquiry: Expert-induced uncertainty disguised as risk.” Public Choice. Forthcoming.Google Scholar
  68. Lewis, A. A. (1992). On Turing degrees of Walrasian models and a general impossibility result in the theory of decision-making. Mathematical Social Sciences, 24, 141–171.CrossRefGoogle Scholar
  69. Luce, R. D. (2000). Utility of gains and losses: Measurement-theoretical and experimental approaches. London: Lawrence Erlbaum.Google Scholar
  70. Mankiw, N. G. (2006). The macroeconomist as scientist and engineer. Journal of Economic Perspectives, 20(4), 29–46.CrossRefGoogle Scholar
  71. Mantel, R. R. (1974). On the characterization of aggregate excess demand. Journal of Economic Theory, 7, 348–353.CrossRefGoogle Scholar
  72. Markose, S. M. (2005). Computability and evolutionary complexity: markets as complex adaptive systems. The Economic Journal, 115, F159–F192.CrossRefGoogle Scholar
  73. Mayer, T. (2009). “Honesty and integrity in economics,” Working paper 09-2, Department of economics, University of California, Davis. Available online: <>.
  74. McCabe, K., Houser, D., Ryan, L., Smith, V., & Trouard, T. (2001). A functional imaging study of cooperation in two-person reciprocal exchange. Proceedings of the National Academy of Sciences, 98(20), 11832–11835.CrossRefGoogle Scholar
  75. McQuade, T., & Butos, W. N. (2005). The sensory order and other adaptive classifying systems. Journal of Bioeconomics, 7(3), 335–358.CrossRefGoogle Scholar
  76. Meacci, F. (2009). “The disappointment of expectations: The years of high theory versus the years of rational expectations,” manuscript. Available online: <>.
  77. Miller, B. (2010). “Opening statement.” Available online: <>.
  78. Mirowski, P., & Sent E.-M., edited. 2002. Science bought and old: Essays in the economics of science. Chicago: University of Chicago Press.Google Scholar
  79. Peart, S. (2010). “If Germs could Sponsor Research: Reflections on Sympathetic Connections amongst Subjects and Researchers,” paper presented at the 3 rd biennial Wirth Institute workshop on Austrian Economics, Vancouver,14–16 October 2010.Google Scholar
  80. Peart, S. J., & Levy, D. M. (2005). The “Vanity of the Philosopher”: From equality to hierarchy in postclassical economics. Ann Arbor: University of Michigan Press.Google Scholar
  81. Polanyi, M. (1962). The republic of science: its political and economic theory. Minerva, 1(1), 54–73.CrossRefGoogle Scholar
  82. Posner, R. (2009a). A failure of capitalism: The crisis of’08 and the descent into depression. Cambridge, MA and London: Harvard University Press.Google Scholar
  83. Posner, R. (2009b). “How I Became a Keynesian,” The new republic, 23 September 2009. Available online: <>.
  84. Ritzman, F. (1999). Money, a substitute for confidence? Vaughan to Keynes and beyond. American Journal of Economics and Sociology, 58(2), 167–192.CrossRefGoogle Scholar
  85. Robbins, L. ([1934] 1971). The Great Depression. Freeport, NY: Books for Libraries Press. Available online: <>.
  86. Rotemberg, J. J. (2009). “Liquidity needs in economies with interconnected financial obligations.” Manuscript.Google Scholar
  87. Roucek, J. S. (1963). Some academic ‘Rackets’ in the social sciences. The American Behavioral Scientist, 6(5), 9–10.CrossRefGoogle Scholar
  88. Schinckus, C. (2009). Economic uncertainty and econophysics. Physica A, 388, 4415–4423.CrossRefGoogle Scholar
  89. Shleifer, A. (2009). The age of Milton Friedman. Journal of Economic Literature, 47(1), 123–135.CrossRefGoogle Scholar
  90. Smith, V. L. (1998). The two faces of Adam Smith. Southern Economics Journal, 65(1), 1–19.CrossRefGoogle Scholar
  91. Smith, V. L. (2008). Rationality in economics: Constructivist and ecological forms. Cambridge: New York.Google Scholar
  92. Sonnenschein, H. (1972). Market excess demand functions. Econometrica, 40, 549–563.CrossRefGoogle Scholar
  93. Sonnenschein, H. (1973). Do Walras’ identity and continuity characterize the class of community excess demand functions? Journal of Economic Theory, 6, 345–354.CrossRefGoogle Scholar
  94. Storr, V. (2010). Schütz on meaning and culture. Review of Austrian Economics, 23, 147–163.CrossRefGoogle Scholar
  95. Takahashi, T. (2009). Tsallis’ non-extensive free energy as a subjective value of an uncertain reward. Physica A, 388, 715–719.CrossRefGoogle Scholar
  96. Taylor, J. B. (2009). “Analysis of daily sales data during the financial panic of 2008.”
  97. Tsuji, M., da Costa, N. C. A., & Doria, F. A. (1998). The incompleteness of theories of games. Journal of Philosophical Logic, 27, 553–564.CrossRefGoogle Scholar
  98. Tullock, G. ([1966] 2005). The Organization of Inquiry. In C. K. Rowley (Ed.), Selected works of Gordon Tullock, Volume 3. Indianapolis: Liberty Fund.Google Scholar
  99. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: heuristics and biases. Science, 185, 1124–1131.CrossRefGoogle Scholar
  100. Tversky, A., & Kahneman, D. (1982). Introduction. In D. Kahneman, P. Slovic, & A. Tversky (Eds.), Judgment under uncertainty: Heuristics and biases. Cambridge: Cambridge University Press.Google Scholar
  101. Tversky, A., & Kahneman D. (2000). “Rational choice and the framing decision.” Choices, values, and frames, In D. Kahneman, & A. Tversky, (Eds.), Cambridge: Cambridge University Press. Originally published: 1986. Journal of Business, 59:4, 5251–78.Google Scholar
  102. Velupillai, V. (2007). The impossibility of an effective theory of policy in a complex economy. In M. Salzano & D. Colander (Eds.), Complexity hints for economic policy. Milan: Springer.Google Scholar
  103. Wagner, R. (1999). Austrian cycle theory: saving the wheat while discarding the chaff. Review of Austrian Economics, 12(1), 65–80.CrossRefGoogle Scholar
  104. Weber, M. (1949). The methodology of the social sciences. Glencoe: Free Press.Google Scholar
  105. White, L. H. (2005). The federal reserve system’s influence on research in monetary economics. Economic Journal Watch, 2(2), 325–354.Google Scholar
  106. Wible, J. (1998). The economics of science: Methodology and epistemology as if economics mattered. London and New York: Routledge.Google Scholar
  107. Wittgenstein, L. (1958). Philosophical investigations (3rd ed.). New York: Macmillan.Google Scholar
  108. Wolfram, S. (1984). Universality and complexity in cellular automata. Physica, 10D, 1–35.Google Scholar

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© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Institute for Forensic Science Administration, M-MS2-02Fairleigh Dickinson UniversityMadisonUSA
  2. 2.Department of EconomicsGeorge Mason UniversityFairfaxUSA

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