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Testing homogeneity of Japanese CPI forecasters

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  • Masahiro Ashiya

    (Faculty of Economics, Kobe University, Kobe, Japan)

Abstract

This paper investigates whether some forecasters consistently outperform others using Japanese CPI forecast data of 42 forecasters over the past 18 quarters. It finds that the accuracy rankings of 0, 1, 2, and 5-month forecasts are significantly different from those that might be expected when all forecasters had equal forecasting ability. Moreover, their rankings of the relative forecast levels are also significantly different from a random one. Copyright © 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Masahiro Ashiya, 2010. "Testing homogeneity of Japanese CPI forecasters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(5), pages 435-441.
  • Handle: RePEc:jof:jforec:v:29:y:2010:i:5:p:435-441
    DOI: 10.1002/for.1130
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    File URL: http://hdl.handle.net/10.1002/for.1130
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    References listed on IDEAS

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    1. Batchelor, Roy A. & Dua, Pami, 1990. "Product differentiation in the economic forecasting industry," International Journal of Forecasting, Elsevier, vol. 6(3), pages 311-316, October.
    2. Bathcelor, Roy & Dua, Pami, 1990. "Forecaster ideology, forecasting technique, and the accuracy of economic forecasts," International Journal of Forecasting, Elsevier, vol. 6(1), pages 3-10.
    3. Masahiro Ashiya, 2009. "Strategic bias and professional affiliations of macroeconomic forecasters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(2), pages 120-130.
    4. Batchelor, R A, 1990. "All Forecasters Are Equal," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 143-144, January.
    5. Ashiya, Masahiro, 2006. "Forecast accuracy and product differentiation of Japanese Institutional Forecasters," International Journal of Forecasting, Elsevier, vol. 22(2), pages 395-401.
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    Cited by:

    1. Tsuchiya, Yoichi, 2016. "Assessing macroeconomic forecasts for Japan under an asymmetric loss function," International Journal of Forecasting, Elsevier, vol. 32(2), pages 233-242.

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