IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2001-082.html
   My bibliography  Save this paper

Modeling and Forecasting Inflation in Japan

Author

Listed:
  • Mr. Toshitaka Sekine

Abstract

This paper estimates an inflation function and forecasts one-year ahead inflation for Japan. It finds that (i) markup relationships, excess money and the output gap are particularly relevant long-run determinants for an equilibrium correction model (EqCM) of inflation; (ii) with intercept corrections, one-year ahead inflation forecast performance of the EqCM is good; and (iii) forecast accuracy can be improved by combining forecasts of the EqCM with those made by rival models. The EqCM obtained would serve for structural model-based inflation forecasting. It also highlights the importance of adjustment to a pure model-based forecast by utilizing information of alternative models. The methodology employed is applicable to a wider range of countries including some emerging market economies.

Suggested Citation

  • Mr. Toshitaka Sekine, 2001. "Modeling and Forecasting Inflation in Japan," IMF Working Papers 2001/082, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2001/082
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=15123
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Toshitaka Sekine, 2009. "Another Look at Global Disinflation," NBER Chapters, in: Financial Globalization, 20th Anniversary Conference, NBER-TCER-CEPR, National Bureau of Economic Research, Inc.
    2. Assenmacher-Wesche, Katrin & Gerlach, Stefan & Sekine, Toshitaka, 2008. "Monetary factors and inflation in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(3), pages 343-363, September.
    3. Ngozi C. Ewurum & Chris U. Kalu & Damian J. Nwankwo, 2017. "Inflation Targeting and Economic Growth Nexus in Nigeria: Implications for Monetary Policy," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(1), pages 12-27, January.
    4. Adam Gersl & Jakub Seidler, 2011. "Credit Growth and Capital Buffers: Empirical Evidence from Central and Eastern European Countries," Research and Policy Notes 2011/02, Czech National Bank.
    5. Magda Kandil & Hanan Morsy, 2011. "Determinants of Inflation in GCC," Middle East Development Journal, Taylor & Francis Journals, vol. 3(2), pages 141-158, January.
    6. Adam Gersl & Jakub Seidler, 2012. "Excessive Credit Growth and Countercyclical Capital Buffers in Basel III: An Empirical Evidence from Central and East European Countries," ACTA VSFS, University of Finance and Administration, vol. 6(2), pages 91-107.
    7. Mr. Emilio Sacerdoti & Mr. Yuan Xiao, 2001. "Inflation Dynamics in Madagascar, 1971-2000," IMF Working Papers 2001/168, International Monetary Fund.
    8. Oomes, Nienke & Ohnsorge, Franziska, 2005. "Money demand and inflation in dollarized economies: The case of Russia," Journal of Comparative Economics, Elsevier, vol. 33(3), pages 462-483, September.
    9. Zeren, Fatma & Korap, Levent, 2010. "A cost-based empirical model of the aggregate price determination for the Turkish economy: a multivariate cointegration approach," MPRA Paper 23655, University Library of Munich, Germany.
    10. Adam Geršl & Jakub Seidler, 2012. "Credit Growth and Countercyclical Capital Buffers: Empirical Evidence from Central and Eastern European Countries," Working Papers IES 2012/3, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2012.
    11. Goujon, Michael, 2006. "Fighting inflation in a dollarized economy: The case of Vietnam," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 564-581, September.
    12. Kandil Magda & Mirzaie Ida A., 2017. "Iran’s Inflationary Experience: Demand Pressures, External Shocks, and Supply Constraints," Review of Middle East Economics and Finance, De Gruyter, vol. 13(2), pages 1-19, August.
    13. Kitov, Ivan & KItov, Oleg, 2013. "Inflation, unemployment, and labor force. Phillips curves and long-term projections for Japan," MPRA Paper 49388, University Library of Munich, Germany.
    14. Gerardo Esquivel & Raúl Razo, 2003. "Fuentes de la inflación en México, 1989-2000: Un análisis multicausal de corrección de errores," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 18(2), pages 181-226.
    15. Ikechukwu Kelikume & Adedoyin Salami, 2014. "Time Series Modeling and Forecasting Information: Evidence from Nigeria," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(2), pages 41-51.
    16. Maruška Vizek & Tanja Broz, 2009. "Modeling Inflation in Croatia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 45(6), pages 87-98, November.
    17. Man Wang & Kun Chen & Qin Luo & Chao Cheng, 2018. "Multi-Step Inflation Prediction with Functional Coefficient Autoregressive Model," Sustainability, MDPI, vol. 10(6), pages 1-16, May.
    18. Ooft, Gavin, 2018. "Modelling and Forecasting Inflation for the Economy of Suriname," EconStor Preprints 215534, ZBW - Leibniz Information Centre for Economics.
    19. Liew, Freddy, 2012. "Forecasting inflation in Asian economies," MPRA Paper 36781, University Library of Munich, Germany.
    20. Rizwan Raheem AHMED & Dalia STREIMIKIENE & Saghir Pervaiz GHAURI & Muhammad AQIL, 2021. "Forecasting Inflation by Using the Sub-Groups of both CPI and WPI: Evidence from Auto Regression (AR) and ARIMA Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 144-161, June.
    21. Roma, Moreno & Skudelny, Frauke & Benalal, Nicholai & Diaz del Hoyo, Juan Luis & Landau, Bettina, 2004. "To aggregate or not to aggregate? Euro area inflation forecasting," Working Paper Series 374, European Central Bank.
    22. John Galbraith & Greg Tkacz, 2007. "How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables," Staff Working Papers 07-1, Bank of Canada.
    23. Brieuc Monfort & Santiago Peña, 2008. "Inflation Determinants in Paraguay: Cost Push versus Demand Pull Factors," IMF Working Papers 2008/270, International Monetary Fund.
    24. Fatma Zeren & Levent Korap, 2010. "A Cost-based Empirical Model of the Aggregate Price Determination for the Turkish Economy: A Multivariate Cointegration Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 57(2), pages 173-188, June.
    25. Ooft, Gavin, 2020. "Forecasting Monthly Inflation: An Application To Suriname," Studies in Applied Economics 144, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:imf:imfwpa:2001/082. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.