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The problem of annual inflation rate indicator

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  • Josef Arlt

Abstract

In economic practice, the annual inflation rate is commonly used. As a one‐sided moving average of the annualized inflation rate, it is approximately 6 months behind the annualized and monthly inflation rates and the CPI. The annual rate of inflation is, in fact, a smoothing transformation that removes the seasonal component from the annualized inflation rate, assuming the presence of all seasonal unit roots. In reality, however, the CPIs, and thus the annualized inflation rates, do not contain most of seasonal unit roots, resulting in spurious cycles of annual inflation rates, which pose difficulties in assessing and interpreting their development dynamics. Their practical applications in econometric analyses are limited because the unit root tests too often do not reject the zero hypothesis of the presence of unit roots when annual inflation rates are actually stationary. Parameter estimates of the annual inflation rate models are biased and inaccurate, allowing only incorrect short‐term forecasts. The above facts make use of the annual inflation rate indicator in real economic situations questionable.

Suggested Citation

  • Josef Arlt, 2023. "The problem of annual inflation rate indicator," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2772-2788, July.
  • Handle: RePEc:wly:ijfiec:v:28:y:2023:i:3:p:2772-2788
    DOI: 10.1002/ijfe.2563
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    References listed on IDEAS

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    1. Julius Shiskin, 1957. "Electronic Computers and Business Indicators," NBER Books, National Bureau of Economic Research, Inc, number juli57-1.
    2. Burridge, Peter & Wallis, Kenneth F, 1984. "Unobserved-Components Models for Seasonal Adjustment Filters," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 350-359, October.
    3. Ghysels, Eric & Perron, Pierre, 1993. "The effect of seasonal adjustment filters on tests for a unit root," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 57-98.
    4. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    5. Nikolay Gospodinov & Serena Ng, 2015. "Minimum Distance Estimation of Possibly Noninvertible Moving Average Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 403-417, July.
    6. Davis, Richard A. & Dunsmuir, William T.M., 1996. "Maximum Likelihood Estimation for MA(1) Processes with a Root on or near the Unit Circle," Econometric Theory, Cambridge University Press, vol. 12(1), pages 1-29, March.
    7. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328.
    8. Ghysels,Eric & Osborn,Denise R., 2001. "The Econometric Analysis of Seasonal Time Series," Cambridge Books, Cambridge University Press, number 9780521565882, September.
    9. Franses, Philip Hans, 1991. "Moving average filters and unit roots," Economics Letters, Elsevier, vol. 37(4), pages 399-403, December.
    10. Diebold, Francis X., 1993. "Discussion : The effect of seasonal adjustment filters on tests for a unit root," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 99-103.
    11. Ghysels, Eric, 1990. "Unit-Root Tests and the Statistical Pitfalls of Seasonal Adjustment: The Case of U.S. Postwar Real Gross National Product," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 145-152, April.
    12. Josef Arlt & Milan Bašta, 2010. "The Problem of the Yearly Inflation Rate and Its Implications for the Monetary Policy of the Czech National Bank," Prague Economic Papers, Prague University of Economics and Business, vol. 2010(2), pages 99-117.
    13. Philip Hans Franses And A. M. Robert Taylor, 2000. "Determining the order of differencing in seasonal time series processes," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 250-264.
    14. Gill Hammond, 2012. "State of the art of inflation targeting," Handbooks, Centre for Central Banking Studies, Bank of England, edition 4, number 29, April.
    15. Luetkepohl Helmut & Xu Fang, 2011. "Forecasting Annual Inflation with Seasonal Monthly Data: Using Levels versus Logs of the Underlying Price Index," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-23, February.
    16. Philip Hans Franses & Bart Hobijn, 1997. "Critical values for unit root tests in seasonal time series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(1), pages 25-48.
    17. Julius Shiskin, 1957. "Electronic Computers and Business Indicators," The Journal of Business, University of Chicago Press, vol. 30, pages 219-219.
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