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Changes in Inflation Predictability in Major Latin American Countries

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  • Garcés Díaz Daniel

Abstract

Forecasts of inflation in the United States since the mid eighties have had smaller errors than in the past, but those conditional on commonly used variables cannot consistently beat the ones from univariate models. This paper shows through simple modifications to the classical monetary model that something similar occurred in those major Latin American economies that achieved their own "Great Moderation." For those countries that did not attain macroeconomic stability, inflation forecasting conditional on some variables has not changed. Allowing the parameters that determine Granger causality to change when the monetary regime does, makes possible the estimation of parsimonious inflation models for all available data (eight decades for one country and five for the others). The models so obtained ouperform others in pseudo out-of-sample forecasts for most of the period under study, except in the cases when an inflation targeting policy was successfully implemented.

Suggested Citation

  • Garcés Díaz Daniel, 2016. "Changes in Inflation Predictability in Major Latin American Countries," Working Papers 2016-20, Banco de México.
  • Handle: RePEc:bdm:wpaper:2016-20
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    References listed on IDEAS

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    1. Marvin Goodfriend & Robert G. King, 2013. "The Great Inflation Drift," NBER Chapters, in: The Great Inflation: The Rebirth of Modern Central Banking, pages 181-209, National Bureau of Economic Research, Inc.
    2. Raphael Espinoza & Hyginus Leon & Ananthakrishnan Prasad, 2012. "When Should We Worry about Inflation?," The World Bank Economic Review, World Bank, vol. 26(1), pages 100-127.
    3. Amisano, Gianni & Fagan, Gabriel, 2013. "Money growth and inflation: A regime switching approach," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 118-145.
    4. 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, April.
    5. Klaus Schmidt-Hebbel & Alejandro M. Werner, 2002. "Inflation Targeting in Brazil, Chile, and Mexico: Performance, Credibility, and the Exchange Rate," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 31-90.
    6. Pagan, Adrian R & Wickens, M R, 1989. "A Survey of Some Recent Econometric Methods," Economic Journal, Royal Economic Society, vol. 99(398), pages 962-1025, December.
    7. Rochelle M. Edge & Refet S. Gürkaynak, 2011. "How useful are estimated DSGE model forecasts?," Finance and Economics Discussion Series 2011-11, Board of Governors of the Federal Reserve System (U.S.).
    8. Capistrán Carlos & Ibarra-Ramírez Raúl & Ramos Francia Manuel, 2011. "Exchange Rate Pass-Through to Prices: Evidence from Mexico," Working Papers 2011-12, Banco de México.
    9. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    10. James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
    11. Albert Marcet & Juan Pablo Nicolini, 2005. "Money and Prices in Models of Bounded Rationality in High Inflation Economies," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 452-479, April.
    12. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    13. Cochrane, John H., 2014. "Monetary policy with interest on reserves," Journal of Economic Dynamics and Control, Elsevier, vol. 49(C), pages 74-108.
    14. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    15. María Angélica Arbeláez Restrepo & Ulpiano Ayala Oramas & James Poterba, 2002. "Debt and Deficits:Colombia´s Unsustainable Fiscal Mix," Informes de Investigación 2250, Fedesarrollo.
    16. Jeannine Bailliu & Daniel Garcés & Mark Kruger & Miguel Messmacher, 2003. "Explaining and Forecasting Inflation in Emerging Markets: The Case of Mexico," Staff Working Papers 03-17, Bank of Canada.
    17. Kamin, Steven B. & Ericsson, Neil R., 2003. "Dollarization in post-hyperinflationary Argentina," Journal of International Money and Finance, Elsevier, vol. 22(2), pages 185-211, April.
    18. Albert Marcet & Juan Pablo Nicolini, 2005. "Money and Prices in Models of Bounded Rationality in High Inflation Economies," Working Papers 217, Barcelona School of Economics.
    19. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
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    Keywords

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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