AbstractEmprical studies of hyperinflations reveal that the rational expectations hypothesis fails to hold. To address this issue, we study a model of hyperinflation and learning in an attempt to better understand the volatility in movements of expectations, money, and prices. The findings surprisingly imply that the dynamics under neural network learning appear to support the outcome achieved under least squares learning reported in the earlier literature. Relaxing the assumption that inflationary expectations are rational, however, is essential since it improves the fit of the model to actual data from episodes of severe hyperinflation. Simulations provide ample evidence that if equilibrium in the model exists, then the inflation rate converges to the low inflation rational expectations equilibrium. This suggests a classical result: a permanent increase in the government deficit raises the stationary inflation rate (Marcet and Sargent, 1989)
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 475.
Date of creation: 04 Jul 2006
Date of revision:
Other versions of this item:
- Atanas Christev, 2007. "Learning Hyperinflations," Money Macro and Finance (MMF) Research Group Conference 2006 126, Money Macro and Finance Research Group.
- C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
- E63 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Comparative or Joint Analysis of Fiscal and Monetary Policy; Stabilization; Treasury Policy
- E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-07-15 (All new papers)
- NEP-CBA-2006-07-21 (Central Banking)
- NEP-MAC-2006-07-18 (Macroeconomics)
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- George W. Evans & Seppo Honkapohja, 2000. "Convergence for difference equations with vanishing time-dependence, with applications to adaptive learning," Economic Theory, Springer, vol. 15(3), pages 717-725.
- Evans, George W & Honkapohja, Seppo, 1998.
"Economic Dynamics with Learning: New Stability Results,"
Review of Economic Studies,
Wiley Blackwell, vol. 65(1), pages 23-44, January.
- George W. Evans & Seppo Honkapohja, . "Economic Dynamics with Learning: New Stability Results," Computing in Economics and Finance 1997 51, Society for Computational Economics.
- Anders Åslund & Peter Boone & Simon Johnson, 1996. "How to Stabilize: Lessons from Post -communist Countries," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(1), pages 217-314.
- Carlson, John A. & Valev, Neven T., 2001. "Credibility of a new monetary regime: The currency board in Bulgaria," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 581-594, June.
- Sargent, Thomas J, 1977.
"The Demand for Money During Hyperinflations under Rational Expectations: I,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(1), pages 59-82, February.
- Salemi, Michael K & Sargent, Thomas J, 1979. "The Demand for Money during Hyperinflation under Rational Expectations: II," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(3), pages 741-58, October.
- Thomas J. Sargent, 1976. "The demand for money during hyperinflations under rational expectations: II," Working Papers 60, Federal Reserve Bank of Minneapolis.
- Evans, George, 1985. "Expectational Stability and the Multiple Equilibria Problem in Linear Rational Expectations Models," The Quarterly Journal of Economics, MIT Press, vol. 100(4), pages 1217-33, November.
- Heinemann, Maik, 2000. "Adaptive learning of rational expectations using neural networks," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 1007-1026, June.
- Miller, Marcus & Zhang, Lei, 1997.
"Hyperinflation and Stabilisation: Cagan Revisited,"
Royal Economic Society, vol. 107(441), pages 441-54, March.
- Marcus Miller & Lei Zhang, 1995. "Hyperinflation and stabilization: Cagan revisited," International Finance Discussion Papers 529, Board of Governors of the Federal Reserve System (U.S.).
- Miller, Marcus & Zhang, Lei, 1996. "Hyperinflation and Stabilization: Cagan Revisited," CEPR Discussion Papers 1513, C.E.P.R. Discussion Papers.
- Kuan, Chung-Ming & White, Halbert, 1994. "Adaptive Learning with Nonlinear Dynamics Driven by Dependent Processes," Econometrica, Econometric Society, vol. 62(5), pages 1087-1114, September.
- Bruno, M., 1991. "High Inflation and the Nominal Anchors of an Open Economy," Princeton Studies in International Economics 183, International Economics Section, Departement of Economics Princeton University,.
- James Bullard & Alison Butler, 1992.
"Nonlinearity and chaos in economic models: implications for policy decisions,"
1991-002, Federal Reserve Bank of St. Louis.
- Bullard, James & Butler, Alison, 1993. "Nonlinearity and Chaos in Economic Models: Implications for Policy Decisions," Economic Journal, Royal Economic Society, vol. 103(419), pages 849-67, July.
- Stanley Fischer & Ratna Sahay & Carlos A. VÃ©gh Gramont, 2002.
"Modern Hyper- and High Inflations,"
IMF Working Papers
02/197, International Monetary Fund.
- Duffy John, 1994. "On Learning and the Nonuniqueness of Equilibrium in an Overlapping Generations Model with Fiat Money," Journal of Economic Theory, Elsevier, vol. 64(2), pages 541-553, December.
- Albert Marcet & Juan P. Nicolini, 1995.
"Recurrent hyperinflations and learning,"
Economics Working Papers
244, Department of Economics and Business, Universitat Pompeu Fabra, revised Nov 2001.
- Evans, George W & Honkapohja, Seppo, 1995. "Local Convergence of Recursive Learning to Steady States and Cycles in Stochastic Nonlinear Models," Econometrica, Econometric Society, vol. 63(1), pages 195-206, January.
- Arifovic, Jasmina, 1995. "Genetic algorithms and inflationary economies," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 219-243, August.
- Evans, G.W. & Honkapohja, S., 1998.
"Stochastic Gradient Learning in the Cobweb Model,"
University of Helsinki, Department of Economics
438, Department of Economics.
- Webb, Steven B., 1986. "Fiscal News and Inflationary Expectations in Germany after World War I," The Journal of Economic History, Cambridge University Press, vol. 46(03), pages 769-794, September.
- Ramon Marimon & Shyam Sunder, 1993.
"Indeterminacy of equilibria in a hyperinflationary world: Experimental evidence,"
Economics Working Papers
25, Department of Economics and Business, Universitat Pompeu Fabra.
- Marimon, Ramon & Sunder, Shyam, 1993. "Indeterminacy of Equilibria in a Hyperinflationary World: Experimental Evidence," Econometrica, Econometric Society, vol. 61(5), pages 1073-107, September.
- Marcet, Albert & Sargent, Thomas J, 1989. "Convergence of Least-Squares Learning in Environments with Hidden State Variables and Private Information," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1306-22, December.
- Marcet, Albert & Sargent, Thomas J, 1988. "The Fate of Systems with "Adaptive" Expectations," American Economic Review, American Economic Association, vol. 78(2), pages 168-72, May.
- Barucci, Emilio & Landi, Leonardo, 1997. "Least mean squares learning in self-referential linear stochastic models," Economics Letters, Elsevier, vol. 57(3), pages 313-317, December.
- Bullard James, 1994.
Journal of Economic Theory,
Elsevier, vol. 64(2), pages 468-485, December.
- Evans, George W. & Honkapohja, Seppo, 1999. "Learning dynamics," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 7, pages 449-542 Elsevier.
- Sachs, Jeffrey, 1987. "The Bolivian Hyperinflation and Stabilization," American Economic Review, American Economic Association, vol. 77(2), pages 279-83, May.
- George W. Evans & Seppo Honkapohja, 1993. "Adaptive forecasts, hysteresis, and endogenous fluctuations," Economic Review, Federal Reserve Bank of San Francisco, pages 3-13.
- Chung-Ming Kuan, 2006. "Artificial Neural Networks," IEAS Working Paper : academic research 06-A010, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Barucci, Emilio, 2001. "Fading memory learning in a class of forward-looking models with an application to hyperinflation dynamics," Economic Modelling, Elsevier, vol. 18(2), pages 233-252, April.
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