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Modeling Hyperinflation Phenomenon: A Bayesian Approach

Author

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  • Rolando Gonzales Martínez

    () (Unidad de Análisis de Políticas Económicas y Sociales, Bolivian Government)

Abstract

Hyperinflations are short-lived episodes of economic instability in prices which characteristically last twenty months or less. Classical statistical techniques applied to these small samples could lead to an incorrect inference problem. This paper describes a Bayesian approach for modeling hyper-inflations which improves the modeling accuracy using small-sample inference based on specific parametric assumptions. A theory-congruent model for the Bolivian hyperinflation was estimated as a case study.

Suggested Citation

  • Rolando Gonzales Martínez, 2013. "Modeling Hyperinflation Phenomenon: A Bayesian Approach," Documentos de Investigación - Research Papers 8, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
  • Handle: RePEc:cml:docinv:8
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    References listed on IDEAS

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    1. Sachs, Jeffrey, 1987. "The Bolivian Hyperinflation and Stabilization," American Economic Review, American Economic Association, vol. 77(2), pages 279-283, May.
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    6. Taylor, Mark P, 1991. "The Hyperinflation Model of Money Demand Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(3), pages 327-351, August.
    7. Reinhart, Carmen & Savastano, Miguel, 2003. "The Realities of Modern Hyperinflation," MPRA Paper 7578, University Library of Munich, Germany.
    8. John C. Robertson & Ellis W. Tallman, 1999. "Vector autoregressions: forecasting and reality," Economic Review, Federal Reserve Bank of Atlanta, issue Q1, pages 4-18.
    9. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    10. Hans-Ulrich Derlien & B. Guy Peters, 2008. "Introduction," Chapters,in: The State at Work, Volume 2, chapter 1 Edward Elgar Publishing.
    11. 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 741-758, October.
    12. Sargent, Thomas J & Wallace, Neil, 1973. "Rational Expectations and the Dynamics of Hyperinflation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 328-350, June.
    13. Engsted, Tom, 1998. "Money Demand During Hyperinflation: Cointegration, Rational Expectations, and the Importance of Money Demand Shocks," Journal of Macroeconomics, Elsevier, vol. 20(3), pages 533-552, July.
    14. Phylaktis, Kate & Taylor, Mark P, 1993. "Money Demand, the Cagan Model and the Inflation Tax: Some Latin American Evidence," The Review of Economics and Statistics, MIT Press, vol. 75(1), pages 32-37, February.
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    More about this item

    Keywords

    Hyperinflation; Bayesian methods;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

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