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Is the relationship between ination and its uncertainty linear?

Author

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  • M. Karanasos

    (Brunel university)

  • S. Schurer

    (Ruhr Graduate School in Economics)

Abstract

We use parametric power ARCH models of the conditional variance of inflation and monthly data in Germany, the Netherlands and Sweden for the period 1962-2004 to examine the relationship between inflation and inflation uncertainty. In two out of the three countries inflation significantly raises inflation uncertainty as predicted by Friedman. Increased nominal uncertainty affects inflation in all countries but not in the same manner. The results for Germany and the Netherlands support the Cukierman-Meltzer hypothesis. In Sweden uncertainty about the future inflation appears to have a negative impact on inflation

Suggested Citation

  • M. Karanasos & S. Schurer, 2006. "Is the relationship between ination and its uncertainty linear?," Computing in Economics and Finance 2006 463, Society for Computational Economics.
    • Handle: RePEc:sce:scecfa:463
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    References listed on IDEAS

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    17. Stilianos Fountas & Menelaos Karanasos & Jinki Kim, 2006. "Inflation Uncertainty, Output Growth Uncertainty and Macroeconomic Performance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(3), pages 319-343, June.
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    Cited by:

    1. Campos, Nauro & Karanasos, Menelaos & Tan, Bin, 2008. "Two to Tangle: Financial Development, Political Instability and Economic Growth in Argentina (1896-2000)," CEPR Discussion Papers 7004, C.E.P.R. Discussion Papers.
    2. Conrad, Christian & Karanasos, Menelaos & Zeng, Ning, 2011. "Multivariate fractionally integrated APARCH modeling of stock market volatility: A multi-country study," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 147-159, January.
    3. Bouoiyour, Jamal & Selmi, Refk, 2013. "Nonlinearities and the nexus between inflation and inflation uncertainty in Egypt: New evidence from wavelets transform framework," MPRA Paper 52414, University Library of Munich, Germany.
    4. repec:awi:wpaper:0472 is not listed on IDEAS
    5. Ilhan Kilic & Faruk Balli, 2024. "Measuring economic country-specific uncertainty in Türkiye," Empirical Economics, Springer, vol. 67(4), pages 1649-1689, October.
    6. Alessandra Canepa, & Karanasos, Menelaos & Paraskevopoulos, Athanasios & Chini, Emilio Zanetti, 2022. "Forecasting Ination: A GARCH-in-Mean-Level Model with Time Varying Predictability," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202212, University of Turin.
    7. Daniela Viorica & Danut Jemna & Carmen Pintilescu & Mircea Asandului, 2014. "The Relationship between Inflation and Inflation Uncertainty. Empirical Evidence for the Newest EU Countries," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-11, March.
    8. Mawuli Segnon & Stelios Bekiros & Bernd Wilfling, 2018. "Forecasting Inflation Uncertainty in the G7 Countries," Econometrics, MDPI, vol. 6(2), pages 1-25, April.
    9. Sajid Amin Javed & Saud Ahmad Khan & Azad Haider & Farzana Shaheen, 2012. "Inflation and Inflation Uncertainty Nexus: Empirical Evidence from Pakistan," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 348-356.
    10. Erdem Havvanur Feyza & Yamak Rahmi, 2014. "The relationship between inflation and inflation uncertainty in Turkey," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», issue 4, pages 246-254.
    11. HAVVANUR FEYZA ERDEM & Rahmi Yamak, 2014. "The Relationship Between Inflation And Inflation Uncertainty In Turkey," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 246-254.
    12. Zouheir Mighri, 2018. "On the Dynamic Linkages Among International Emerging Currencies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 427-473, June.
    13. Alessandra Canepa, & Menelaos G. Karanasos & Alexandros G. Paraskevopoulos,, 2019. "Second Order Time Dependent Inflation Persistence in the United States: a GARCH-in-Mean Model with Time Varying Coefficients," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201911, University of Turin.
    14. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

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    More about this item

    Keywords

    GARCH-in-mean; In‡ation; Level e¤ect;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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