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Learning, Adaptive Expectations and Technology Shocks

  • KevinX.D. Huang
  • Zheng Liu
  • Tao Zha

This study explores the macroeconomic implications of adaptive expectations in a standard growth model. We show that the self-confirming equilibrium under adaptive expectations is the same as the steady state rational expectations equilibrium for all admissible parameter values, but that dynamics around the steady state are substantially different between the two equilibria. The differences are driven mainly by the dampened wealth effect and the strengthened intertemporal substitution effect, not by escapes emphasised by Williams (2003) . Consequently, adaptive expectations can be an important source of frictions that amplify and propagate technology shocks and seem promising for generating plausible labour market dynamics. Copyright © The Author(s). Journal compilation © Royal Economic Society 2009.

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Article provided by Royal Economic Society in its journal The Economic Journal.

Volume (Year): 119 (2009)
Issue (Month): 536 (03)
Pages: 377-405

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Handle: RePEc:ecj:econjl:v:119:y:2009:i:536:p:377-405
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  1. Thomas J. Sargent & Noah William, 2005. "Impacts of Priors on Convergence and Escapes from Nash Inflation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 360-391, April.
  2. David E. Altig & Lawrence J. Christiano & Martin Eichenbaum & Jesper Linde, 2010. "Firm-specific capital, nominal rigidities and the business cycle," International Finance Discussion Papers 990, Board of Governors of the Federal Reserve System (U.S.).
  3. Christiano, Lawrence J & Eichenbaum, Martin, 1992. "Current Real-Business-Cycle Theories and Aggregate Labor-Market Fluctuations," American Economic Review, American Economic Association, vol. 82(3), pages 430-50, June.
  4. Nir Jaimovich & Sergio Rebelo, 2006. "Can News About the Future Drive the Business Cycle?," NBER Working Papers 12537, National Bureau of Economic Research, Inc.
  5. Rochelle M. Edge & Thomas Laubach & John C. Williams, 2004. "Learning and shifts in long-run productivity growth," Finance and Economics Discussion Series 2004-21, Board of Governors of the Federal Reserve System (U.S.).
  6. Robert J. Barro & Robert G. King, 1984. "Time-Separable Preferences and Intertemporal-Substitution Models of Business Cycles," The Quarterly Journal of Economics, Oxford University Press, vol. 99(4), pages 817-839.
  7. Hansen, Gary D., 1985. "Indivisible labor and the business cycle," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 309-327, November.
  8. Susanto Basu & John G. Fernald & Miles S. Kimball, 2004. "Are technology improvements contractionary?," Working Paper Series WP-04-20, Federal Reserve Bank of Chicago.
  9. In-Koo Cho & Noah Williams & Thomas J. Sargent, 2002. "Escaping Nash Inflation," Review of Economic Studies, Oxford University Press, vol. 69(1), pages 1-40.
  10. Thomas Sargent & Noah Williams & Tao Zha, 2006. "Shocks and Government Beliefs: The Rise and Fall of American Inflation," American Economic Review, American Economic Association, vol. 96(4), pages 1193-1224, September.
  11. Lettau, M. & Uhlig, H.F.H.V.S., 1995. "Can Habit Formation be Reconciled with Business Cycle Facts?," Discussion Paper 1995-54, Tilburg University, Center for Economic Research.
  12. Marcet, Albert & Sargent, Thomas J., 1989. "Convergence of least squares learning mechanisms in self-referential linear stochastic models," Journal of Economic Theory, Elsevier, vol. 48(2), pages 337-368, August.
  13. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
  14. Carceles-Poveda, Eva & Giannitsarou, Chryssi, 2007. "Adaptive learning in practice," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2659-2697, August.
  15. Greenwood, J. & Hercowitz, Z. & Krusell, P., 1996. "Long-Run Implications of Investment-Specific Technological Change," RCER Working Papers 420, University of Rochester - Center for Economic Research (RCER).
  16. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 2000. "The role of investment-specific technological change in the business cycle," European Economic Review, Elsevier, vol. 44(1), pages 91-115, January.
  17. Kenneth Kasa, 2000. "Learning, large deviations, and recurrent currency crises," Working Paper Series 2000-10, Federal Reserve Bank of San Francisco.
  18. Thomas Sargent & Noah Williams & Tao Zha, 2009. "The Conquest of South American Inflation," Journal of Political Economy, University of Chicago Press, vol. 117(2), pages 211-256, 04.
  19. Klaus Adam & Albert Marcet & Juan Pablo Nicolini, 2014. "Stock Market Volatility and Learning," Working Papers 336, Barcelona Graduate School of Economics.
  20. Jordi Gali, 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations," NBER Working Papers 5721, National Bureau of Economic Research, Inc.
  21. James B. Bullard & John Duffy, 2004. "Learning and structural change in macroeconomic data," Working Papers 2004-016, Federal Reserve Bank of St. Louis.
  22. Hui He & Zheng Liu, 2008. "Investment-Specific Technological Change, Skill Accumulation, and Wage Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(2), pages 314-334, April.
  23. Lucas, Robert E, Jr, 1986. "Adaptive Behavior and Economic Theory," The Journal of Business, University of Chicago Press, vol. 59(4), pages S401-26, October.
  24. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
  25. David Altig & Lawrence Christiano & Martin Eichenbaum & Jesper Linde, 2005. "Online Appendix to "Firm-Specific Capital, Nominal Rigidities and the Business Cycle"," Technical Appendices 09-191, Review of Economic Dynamics.
  26. Stefano Eusepi & Bruce Preston, 2008. "Expectations, Learning and Business Cycle Fluctuations," NBER Working Papers 14181, National Bureau of Economic Research, Inc.
  27. Giorgio E. Primiceri, 2006. "Why Inflation Rose and Fell: Policy-Makers' Beliefs and U. S. Postwar Stabilization Policy," The Quarterly Journal of Economics, Oxford University Press, vol. 121(3), pages 867-901.
  28. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
  29. William Poole, 2002. "Flation," Speech 49, Federal Reserve Bank of St. Louis.
    • William Poole & Robert H. Rasche, 2002. "Flation," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 1-6.
  30. Marcet, A. & Nicolini, J.P., 1997. "Recurrent Hyperinflations and Learning," Papers 9721, Centro de Estudios Monetarios Y Financieros-.
  31. Richard Rogerson, 2010. "Indivisible Labor, Lotteries and Equilibrium," Levine's Working Paper Archive 250, David K. Levine.
  32. repec:dgr:kubcen:199554 is not listed on IDEAS
  33. Carboni, Giacomo & Ellison, Martin, 2009. "The Great Inflation and the Greenbook," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 831-841, September.
  34. Adam, Klaus & Evans, George W. & Honkapohja, Seppo, 2006. "Are hyperinflation paths learnable?," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2725-2748, December.
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