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The Elusive Predictive Ability of Global Inflation

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  • Carlos A. Medel
  • Michael Pedersen
  • Pablo M. Pincheira

Abstract

In this paper we analyze the contribution of international measures of inflation to predict local ones. To that end, we consider the set of current thirty one OECD economies for which inflation data is available at a monthly frequency. By considering this set of countries, a span of time including the post-crisis period and measures of both core and headline inflation, we are extending in three important dimensions the previous literature on this topic. Our main results indicate that on average there is a non-negligible predictive pass-through from international to local inflation both at the core and headline levels. This predictive pass-through has increased in the last period of our sample. Nevertheless, there is heterogeneity in the size and statistical significance of this pass-through which is especially important at the core level. Finally, important reductions in the Root Mean Squared Prediction Error are obtained only for a handful of countries
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  • Carlos A. Medel & Michael Pedersen & Pablo M. Pincheira, 2016. "The Elusive Predictive Ability of Global Inflation," International Finance, Wiley Blackwell, vol. 19(2), pages 120-146, June.
  • Handle: RePEc:bla:intfin:v:19:y:2016:i:2:p:120-146
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    File URL: http://hdl.handle.net/10.1111/infi.12087
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    Cited by:

    1. Juselius, Mikael & Takáts, Előd, 2018. "The enduring link between demography and inflation," Bank of Finland Research Discussion Papers 8/2018, Bank of Finland.
    2. Stephen G. Hall & George S. Tavlas & Yongli Wang, 2023. "Forecasting inflation: The use of dynamic factor analysis and nonlinear combinations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 514-529, April.
    3. Carlos A. Medel, 2016. "Un análisis de la capacidad predictiva del precio del cobre sobre la inflación global," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 19(2), pages 128-153, August.
    4. Friedrich, Christian, 2016. "Global inflation dynamics in the post-crisis period: What explains the puzzles?," Economics Letters, Elsevier, vol. 142(C), pages 31-34.
    5. Duncan, Roberto & Martínez-García, Enrique, 2019. "New perspectives on forecasting inflation in emerging market economies: An empirical assessment," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
    6. Pincheira, Pablo & Hernández, Ana María, 2019. "Forecasting Unemployment Rates with International Factors," MPRA Paper 97855, University Library of Munich, Germany.
    7. Carlos Medel, 2021. "Forecasting Brazilian Inflation with the Hybrid New Keynesian Phillips Curve: Assessing the Predictive Role of Trading Partners," Working Papers Central Bank of Chile 900, Central Bank of Chile.
    8. Pincheira, Pablo M. & West, Kenneth D., 2016. "A comparison of some out-of-sample tests of predictability in iterated multi-step-ahead forecasts," Research in Economics, Elsevier, vol. 70(2), pages 304-319.
    9. Juan Carlos Berganza & Pedro del Río & Fructuoso Borrallo, 2016. "Determinants and implications of low global inflation rates," Occasional Papers 1608, Banco de España.
    10. Juselius, Mikael & Takáts, Előd, 2021. "Inflation and demography through time," Journal of Economic Dynamics and Control, Elsevier, vol. 128(C).
    11. Jonathan Kearns, 2016. "Global inflation forecasts," BIS Working Papers 582, Bank for International Settlements.
    12. Pincheira, Pablo & Hardy, Nicolas, 2022. "Correlation Based Tests of Predictability," MPRA Paper 112014, University Library of Munich, Germany.
    13. Pablo Pincheira Brown, 2022. "A Power Booster Factor for Out-of-Sample Tests of Predictability," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 45(89), pages 150-183.
    14. S. Béreau & V. Faubert & K. Schmidt, 2018. "Explaining and Forecasting Euro Area Inflation: the Role of Domestic and Global Factors," Working papers 663, Banque de France.
    15. Nyoni, Thabani & Nathaniel, Solomon Prince, 2018. "Modeling rates of inflation in Nigeria: an application of ARMA, ARIMA and GARCH models," MPRA Paper 91351, University Library of Munich, Germany.
    16. repec:zbw:bofrdp:2018_008 is not listed on IDEAS
    17. Mikael Juselius & Előd Takáts, 2018. "The enduring link between demography and inflation," BIS Working Papers 722, Bank for International Settlements.
    18. Dellas, Harris & Gibson, Heather D. & Hall, Stephen G. & Tavlas, George S., 2018. "The macroeconomic and fiscal implications of inflation forecast errors," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 203-217.

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