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Inflation Expectations in Japan: Forecast revision and forecast trends

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  • Weiyang ZHAI
  • Yushi YOSHIDA

Abstract

Inflation expectation is one of the essential components of monetary policy decisions. Upon examining Japanese inflation expectations between 1991:Q4 and 2025:Q1, we propose a modified empirical model that includes a forecast trend term in addition to the forecast revision term. We found that the forecast trend term affects the forecast errors. The full sample results indicate that people in Japan form non-rational expectations with information rigidity. However, this holds only in the recent episode of inflation following the post-COVID period. During the zero-inflation periods, people formed full-information rational expectations. In addition, we find evidence that consumption tax hikes affect the forecast errors, partly due to the uncertainty about future implementation. In both periods, the possibility of deviating from rational expectations cannot be ruled out.

Suggested Citation

  • Weiyang ZHAI & Yushi YOSHIDA, 2026. "Inflation Expectations in Japan: Forecast revision and forecast trends," Discussion papers 26004, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:26004
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    References listed on IDEAS

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    1. Shintani, Mototsugu & Ueda, Kozo, 2023. "Identifying the source of information rigidities in the expectations formation process," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
    2. Inoue, Atsushi & Rossi, Barbara & Wang, Yiru, 2024. "Local projections in unstable environments," Journal of Econometrics, Elsevier, vol. 244(2).
    3. Ulrich K. Müller & Philippe-Emmanuel. Petalas, 2010. "Efficient Estimation of the Parameter Path in Unstable Time Series Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1508-1539.
    4. George-Marios Angeletos & Zhen Huo & Karthik A. Sastry, 2021. "Imperfect Macroeconomic Expectations: Evidence and Theory," NBER Macroeconomics Annual, University of Chicago Press, vol. 35(1), pages 1-86.
    5. Kosuke Aoki & Kozo Ueda, 2025. "Survey of the effects of unconventional monetary policy in Japan," The Japanese Economic Review, Springer, vol. 76(3), pages 587-619, July.
    6. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    7. Lizondo, Jose Saul, 1983. "Foreign exchange futures prices under fixed exchange rates," Journal of International Economics, Elsevier, vol. 14(1-2), pages 69-84, February.
    8. Atsushi Inoue & Barbara Rossi & Yiru Wang & Lingyun Zhou, 2025. "Parameter path estimation in unstable environments: The tvpreg command," Stata Journal, StataCorp LLC, vol. 25(2), pages 374-406, June.
    9. Elmar Mertens, 2016. "Measuring the Level and Uncertainty of Trend Inflation," The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 950-967, December.
    10. Ryan Chahrour & Adam Hale Shapiro & Daniel Wilson, 2025. "News Selection and Household Inflation Expectations," NBER Working Papers 33837, National Bureau of Economic Research, Inc.
    11. Shoji, Toshiaki, 2022. "Menu costs and information rigidity: Evidence from the consumption tax hike in Japan," Journal of Macroeconomics, Elsevier, vol. 72(C).
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