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Comparing forecasts of inflation using time distance

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  • Granger, Clive W. J.
  • Jeon, Yongil

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  • Granger, Clive W. J. & Jeon, Yongil, 2003. "Comparing forecasts of inflation using time distance," International Journal of Forecasting, Elsevier, vol. 19(3), pages 339-349.
    • Handle: RePEc:eee:intfor:v:19:y:2003:i:3:p:339-349
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    1. Geoffrey M. B. Tootell, 1998. "Globalization and U.S. inflation," New England Economic Review, Federal Reserve Bank of Boston, issue Jul, pages 21-33.
    2. Frederick T. Furlong & Robert Ingenito, 1996. "Commodity prices and inflation," Economic Review, Federal Reserve Bank of San Francisco, pages 27-47.
    3. Donald L. Amoroso & James C. Brancheau & Fred Mcfadden, 1991. "The Senior Executive as Organizational Stakeholder of Microcomputer Technology," Information Resources Management Journal (IRMJ), IGI Global Scientific Publishing, vol. 4(3), pages 24-40, July.
    4. Granger, Clive W. J. & Jeon, Yongil, 2003. "A time-distance criterion for evaluating forecasting models," International Journal of Forecasting, Elsevier, vol. 19(2), pages 199-215.
    5. Charles Steindel, 1997. "Are there good alternatives to the CPI?," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 3(Apr).
    6. Granger, C. W. J. & Newbold, Paul, 1986. "Forecasting Economic Time Series," Elsevier Monographs, Elsevier, edition 2, number 9780122951831 edited by Shell, Karl.
    7. C. Alan Garner, 1995. "How useful are leading indicators of inflation?," Economic Review, Federal Reserve Bank of Kansas City, vol. 80(Q II), pages 5-18.
    8. Freeman, Donald G., 1998. "Do core inflation measures help forecast inflation?," Economics Letters, Elsevier, vol. 58(2), pages 143-147, February.
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    Cited by:

    1. Pär Österholm, 2008. "Can forecasting performance be improved by considering the steady state? An application to Swedish inflation and interest rate," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 41-51.
    2. Mihaela Bratu (Simionescu), 2013. "How to Improve the SPF Forecasts?," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(2), pages 153-165, April.
    3. Mihaela BRATU (SIMIONESCU), 2012. "A Strategy To Improve The Gdp Index Forcasts In Romania Using Moving Average Models Of Historical Errors Of The Dobrescu Macromodel," Romanian Journal of Economics, Institute of National Economy, vol. 35(2(44)), pages 128-138, December.
    4. Mihaela BRATU SIMIONESCU, 2012. "Two Quantitative Forecasting Methods For Macroeconomic Indicators In Czech Republic," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 3(1), pages 71-87.
    5. Pavle Sicherl, 2007. "The inter-temporal aspect of well-being and societal progress," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 84(2), pages 231-247, November.
    6. Beechey, Meredith & Österholm, Pär, 2010. "Forecasting inflation in an inflation-targeting regime: A role for informative steady-state priors," International Journal of Forecasting, Elsevier, vol. 26(2), pages 248-264, April.
    7. Jan-Erik Antipin & Farid Jimmy Boumediene & Pär Österholm, 2014. "Forecasting Inflation Using Constant Gain Least Squares," Australian Economic Papers, Wiley Blackwell, vol. 53(1-2), pages 2-15, June.
    8. Mihaela Bratu, 2012. "A Strategy to Improve the Survey of Professional Forecasters (SPF) Predictions Using Bias-Corrected-Accelerated (BCA) Bootstrap Forecast Intervals," International Journal of Synergy and Research, ToKnowPress, vol. 1(2), pages 45-59.
    9. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.

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