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TIPS: The Trend Inflation Projection System and Estimation Results

Author

Listed:
  • Koji Takahashi

    (Bank of Japan)

Abstract

In practice, trend inflation is often defined as a common factor extracted from observed inflation rates by removing cyclical effects from business cycles as well as other transitory distortions. Trend inflation can also be interpreted as the infinitely long-term inflation rate expected by private economic agents. If we assume that the central bank's inflation target policy is fully credible, trend inflation will converge to the target inflation rate in the long run. In the short run, however, trend inflation and the target rate can differ due to adaptive, or backward-looking, expectations and changes in the extent to which the inflation target is credible. Based on these considerations, this paper proposes a simple new methodology for projecting trend inflation, labelled the Trend Inflation Projection System (TIPS), where trend inflation is expressed as the weighted average of two components: an adaptive component, where a common trend is extracted from several core inflation measures, and a forward-looking component, namely the target inflation rate. In addition, the weights are allowed to vary over time to capture changes in the degree to which economic agents believe in the inflation target. The estimation results show that trend inflation in Japan increased dramatically in the first quarter of 2013, when the BOJ raised the target inflation rate, and has continued to rise gradually since then. However, since the second half of 2014, medium- to long-term inflation expectations have shifted downward, meaning that inflation expectations may be formed in a more adaptive manner than in the model. Furthermore, decomposition of the consumer price index (CPI, all items less fresh food) based on the estimated model indicates that although CPI inflation rose from the beginning of 2013 due to the increase in trend inflation, it has decreased again since the second half of 2014 due to transitory factors such as the decline in oil prices.

Suggested Citation

  • Koji Takahashi, 2016. "TIPS: The Trend Inflation Projection System and Estimation Results," Bank of Japan Working Paper Series 16-E-18, Bank of Japan.
  • Handle: RePEc:boj:bojwps:wp16e18
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    File URL: http://www.boj.or.jp/en/research/wps_rev/wps_2016/data/wp16e18.pdf
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    References listed on IDEAS

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    1. Taisuke Nakata & Sebastian Schmidt & Timothy Hills, 2016. "The Risky Steady State and the Interest Rate Lower Bound," 2016 Meeting Papers 39, Society for Economic Dynamics.
    2. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    3. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    4. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    5. Ichiro Fukunaga & Naoko Hara & Satoko Kojima & Yoichi Ueno & Shunichi Yoneyama, 2011. "The Quarterly Japanese Economic Model (Q-JEM): 2011 Version," Bank of Japan Working Paper Series 11-E-11, Bank of Japan.
    6. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    7. Sohei Kaihatsu & Jouchi Nakajima, 2015. "Has Trend Inflation Shifted?: An Empirical Analysis with a Regime-Switching Model," Bank of Japan Working Paper Series 15-E-3, Bank of Japan.
    8. James C. Morley & Charles R. Nelson & Eric Zivot, 2003. "Why Are the Beveridge-Nelson and Unobserved-Components Decompositions of GDP So Different?," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 235-243, May.
    9. Mio, Hitoshi & Higo, Masahiro, 1999. "Underlying Inflation and the Distribution of Price Change: Evidence from the Japanese Trimmed-Mean CPI," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 17(1), pages 103-132, May.
    10. Yuto Iwasaki & Sohei Kaihatsu, 2016. "Measuring Underlying Inflation Using Dynamic Model Averaging," Bank of Japan Working Paper Series 16-E-8, Bank of Japan.
    11. Yoshiyuki Nakazono, 2016. "Inflation expectations and monetary policy under disagreements," Bank of Japan Working Paper Series 16-E-1, Bank of Japan.
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    Cited by:

    1. Juan Angel Garcia & Aubrey Poon, 2022. "Inflation trends in Asia: implications for central banks [Are Phillips curves useful for forecasting inflation?]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 671-700.
    2. Tomiyuki Kitamura & Masaki Tanaka, 2019. "Firms' Inflation Expectations under Rational Inattention and Sticky Information: An Analysis with a Small-Scale Macroeconomic Model," Bank of Japan Working Paper Series 19-E-16, Bank of Japan.
    3. Naohisa Hirakata & Kazutoshi Kan & Akihiro Kanafuji & Yosuke Kido & Yui Kishaba & Tomonori Murakoshi & Takeshi Shinohara, 2019. "The Quarterly Japanese Economic Model (Q-JEM): 2019 version," Bank of Japan Working Paper Series 19-E-7, Bank of Japan.

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    More about this item

    Keywords

    Core Inflation; Trend Inflation; Inflation Target;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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