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Inflation rates

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Author Info
N. Hyung
P.F. Franses () (FEW-Econometrie en besliskunde)

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Abstract

We examine if US inflation rates series can be characterized by a long-memory model, by a model with occasional level shifts or by a new model, which jointly captures the two features. Through simulations we show that this new model can be usefully applied in practice. For 23 inflation rate series we find that generally the long-memory model is best, both in terms of in-sample fit and out-of-sample forecasts.

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File URL: http://www.eur.nl/WebDOC/doc/econometrie/feweco20020501092243.pdf
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Paper provided by Erasmus University Rotterdam, Econometric Institute in its series Econometric Institute Report with number 261.

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Date of creation: 2002
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Handle: RePEc:dgr:eureir:2002261

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Related research
Keywords: long memory level shifts inflation;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Diebold, Francis X. & Inoue, Atsushi, 2001. "Long memory and regime switching," Journal of Econometrics, Elsevier, vol. 105(1), pages 131-159, November. [Downloadable!] (restricted)
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  2. Philip Hans Franses & Marius Ooms & Charles S. Bos, 1999. "Long memory and level shifts: Re-analyzing inflation rates," Empirical Economics, Springer, vol. 24(3), pages 427-449. [Downloadable!] (restricted)
    Other versions:
  3. Robert F. Engle & Aaron D. Smith, 1999. "Stochastic Permanent Breaks," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 553-574, November. [Downloadable!] (restricted)
    Other versions:
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Chien-Chiang Lee & Chun-Ping Chang, 2007. "Mean reversion of inflation rates in 19 OECD countries: Evidence from panel Lm unit root tests with structural breaks," Economics Bulletin, Economics Bulletin, vol. 3(23), pages 1-15. [Downloadable!]
  2. Jonathan Dark, 2004. "Bivariate error correction FIGARCH and FIAPARCH models on the Australian All Ordinaries Index and its SPI futures," Monash Econometrics and Business Statistics Working Papers 4/04, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
  3. Jonathan Dark, 2004. "Long memory in the volatility of the Australian All Ordinaries Index and the Share Price Index futures," Monash Econometrics and Business Statistics Working Papers 5/04, Monash University, Department of Econometrics and Business Statistics. [Downloadable!]
  4. Elkin Castaño & Karoll Gómez & Santiago Gallón, 2008. "Una nueva prueba para el parámetro de diferenciación fraccional," Revista Colombiana de Estadística, REVISTA COLOMBIANA DE ESTADISTICA. [Downloadable!]
  5. Marcel Scharth & Marcelo Cunha Medeiros, 2006. "Asymmetric effects and long memory in the volatility of Dow Jones stocks," Textos para discussão 532, Department of Economics PUC-Rio (Brazil). [Downloadable!]
  6. Geetesh Bhardwaj & Norman Swanson, 2004. "An Empirical Investigation of the Usefulness of ARFIMA Models for Predicting Macroeconomic and Financial Time Series," Departmental Working Papers 200422, Rutgers University, Department of Economics. [Downloadable!]
    Other versions:
  7. Ahdi Ajmi & Adnen Ben Nasr & Mohamed Boutahar, 2008. "Seasonal Nonlinear Long Memory Model for the US Inflation Rates," Computational Economics, Springer, vol. 31(3), pages 243-254, April. [Downloadable!] (restricted)
  8. Mohamed Boutahar & Gilles Dufrénot & Anne Péguin-Feissolle, 2008. "A Simple Fractionally Integrated Model with a Time-varying Long Memory Parameter d t ," Computational Economics, Springer, vol. 31(3), pages 225-241, April. [Downloadable!] (restricted)
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