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Citations of
Marius Ooms

For current contact information and a more complete listing of works, please see here

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Working papers

  1. C.S. Bos & S.J. Koopman & M. Ooms, 2007. "Long Memory Modelling of Inflation with Stochastic Variance and Structural Breaks," Tinbergen Institute Discussion Papers 07-099/4, Tinbergen Institute. [Downloadable!]
    Other versions:

    Cited by:

    1. Grassi, Stefano & Proietti, Tommaso, 2008. "Has the Volatility of U.S. Inflation Changed and How?," MPRA Paper 11453, University Library of Munich, Germany. [Downloadable!]

  2. Jurgen A. Doornik & Marius Ooms, 2005. "Outlier Detection in GARCH Models," Tinbergen Institute Discussion Papers 05-092/4, Tinbergen Institute. [Downloadable!]
    Other versions:

    Cited by:

    1. E. Ruiz & M.A. Carnero & D. Pereira, 2004. "Effects of Level Outliers on the Identification and Estimation of GARCH Models," Econometric Society 2004 Australasian Meetings 21, Econometric Society. [Downloadable!]
    2. Aurea Grané & Helena Veiga, 2009. "Wavelet-based detection of outliers in volatility models," Statistics and Econometrics Working Papers ws090403, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
    3. Alberto Mora-Galan & Ana Perez & Esther Ruiz, 2004. "Stochastic Volatility Models And The Taylor Effect," Statistics and Econometrics Working Papers ws046315, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
    4. Jurgen A. Doornik & Marius Ooms, 2003. "Multimodality in the GARCH Regression Model," Economics Papers 2003-W20, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
    5. Maurício Yoshinori Une & Marcelo Savino Portugal, 2005. "Can fear beat hope? A story of GARCH-in-Mean-Level effects for Emerging Market Country Risks," Econometrics 0509006, EconWPA. [Downloadable!]
    6. Jose Olmo, 2009. "Extreme Value Theory Filtering Techniques for Outlier Detection," City University Economics Discussion Papers 09/09, Department of Economics, City University, London. [Downloadable!]

  3. Siem Jan Koopman & Marius Ooms & M. Angeles Carnero, 2005. "Periodic Seasonal Reg-ARFIMA-GARCH Models for Daily Electricity Spot Prices," Tinbergen Institute Discussion Papers 05-091/4, Tinbergen Institute. [Downloadable!]
    Published as:

    Cited by:

    1. Fell, Harrison, 2008. "EU-ETS and Nordic Electricity: A CVAR Approach," Discussion Papers dp-08-31, Resources For the Future. [Downloadable!]
    2. Hipòlit Torró & Julio Lucia, 2008. "Short-term electricity futures prices: Evidence on the time-varying risk premium," Working Papers. Serie EC 2008-08, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie). [Downloadable!]
    3. Abdou Kâ Diongue & Dominique Guegan & Bertrand Vignal, 2009. "Forecasting electricity spot market prices with a k-factor GIGARCH process," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00307606_v2, HAL. [Downloadable!]
    4. andrés M. Alonso & Carolina Garcia-Martos & Julio Rodriguez & Maria Jesus Sanchez, 2008. "Seasonal dynamic factor analysis and bootstrap inference : application to electricity market forecasting," Statistics and Econometrics Working Papers ws081406, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
    5. Isao Ishida & Toshiaki Watanabe, 2009. "Modeling and Forecasting the Volatility of the Nikkei 225 Realized Volatility Using the ARFIMA-GARCH Model," Global COE Hi-Stat Discussion Paper Series gd08-032, Institute of Economic Research, Hitotsubashi University. [Downloadable!]
    6. Isao Ishida & Toshiaki Watanabe, 2009. "Modeling and Forecasting the Volatility of the Nikkei 225 Realized Volatility Using the ARFIMA-GARCH Model," CIRJE F-Series CIRJE-F-608, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
    7. Bruno Bosco & Lucia Parisio & Matteo Pelagatti, 2007. "Deregulated Wholesale Electricity Prices in Italy: An Empirical Analysis," International Advances in Economic Research, Springer, vol. 13(4), pages 415-432, November. [Downloadable!] (restricted)
    8. Christian Huurman & Francesco Ravazzolo & Chen Zhou, 2007. "The Power of Weather: Some Empirical Evidence on Predicting Day-ahead Power Prices through Day-ahead Weather Forecasts," Tinbergen Institute Discussion Papers 07-036/4, Tinbergen Institute. [Downloadable!]
    9. Niels Haldrup & Frank S. Nielsen & Morten Ørregaard Nielsen, 2007. "A Vector Autoregressive Model for Electricity Prices Subject to Long Memory and Regime Switching," CREATES Research Papers 2007-29, School of Economics and Management, University of Aarhus. [Downloadable!]
      Other versions:

  4. Jurgen A. Doornik & Marius Ooms, 2003. "Multimodality in the GARCH Regression Model," Economics Papers 2003-W20, Economics Group, Nuffield College, University of Oxford. [Downloadable!]

    Cited by:

    1. Bernd Hayo & Ali Kutan, 2004. "The Impact of News, Oil Prices, and Global Market Developments on Russian Financial Markets," Finance 0403002, EconWPA. [Downloadable!]
      Other versions:
    2. Markus Haas, 2007. "Volatility Components and Long Memory-Effects Revisited," Studies in Nonlinear Dynamics & Econometrics, Berkeley Electronic Press, vol. 11(2). [Downloadable!]
    3. Jurgen A. Doornik & Marius Ooms, 2005. "Outlier Detection in GARCH Models," Economics Papers 2005-W24, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
      Other versions:
    4. Bernd Hayo & Ali Kutan, 2002. "The Impact of News, Oil Prices, and International Spillovers on Russian Financial Markets," Finance 0209001, EconWPA. [Downloadable!]
    5. Eric Hillebrand & Gunther Schnabl, 2008. "A structural break in the effects of Japanese foreign exchange intervention on yen/dollar exchange rate volatility," International Economics and Economic Policy, Springer, vol. 5(4), pages 389-401, December. [Downloadable!] (restricted)
      Other versions:
    6. Maurício Yoshinori Une & Marcelo Savino Portugal, 2005. "Can fear beat hope? A story of GARCH-in-Mean-Level effects for Emerging Market Country Risks," Econometrics 0509006, EconWPA. [Downloadable!]
    7. Coffinet, J. & Frappa, S., 2008. "Macroeconomic Surprises and the Inflation Compensation Curve in the Euro Area," Documents de Travail 220, Banque de France. [Downloadable!]

  5. M. Angeles Carnero & Siem Jan Koopman & Marius Ooms, 2003. "Periodic Heteroskedastic RegARFIMA Models for Daily Electricity Spot Prices," Tinbergen Institute Discussion Papers 03-071/4, Tinbergen Institute. [Downloadable!]
    Other versions:

    Cited by:

    1. Sandro Sapio, 2004. "Market Design, Bidding Rules, and Long Memory in Electricity Prices," LEM Papers Series 2004/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy. [Downloadable!]
    2. Niels Haldrup & Morten O. Nielsen, 2004. "A Regime Switching Long Memory Model for Electricity Prices," Economics Working Papers 2004-2, School of Economics and Management, University of Aarhus. [Downloadable!]
      Other versions:
    3. Hipòlit Torró, 2007. "Forecasting Weekly Electricity Prices at Nord Pool," Working Papers 2007.88, Fondazione Eni Enrico Mattei. [Downloadable!]
    4. Haldrup; Niels & Morten Oerregaard Nielsen, 2005. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Economics Working Papers 2005-18, School of Economics and Management, University of Aarhus. [Downloadable!]
      Other versions:

  6. Jurgen A. Doornik & Marius Ooms, 2001. "Computational Aspects of Maximum Likelihood Estimation of Autoregressive Fractionally Integrated Moving Average Models," Economics Papers 2001-W27, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
    Published as:

    Cited by:

    1. Marius Ooms & M. Angeles Carnero & Siem Jan Koopman, 2004. "Periodic Heteroskedastic RegARFIMA models for daily electricity spot prices," Econometric Society 2004 Australasian Meetings 158, Econometric Society. [Downloadable!]
      Other versions:
    2. E. Dubois & S. Lardic & V. Mignon, 2003. "The exact maximum likelihood-based test for fractional cointegration: critical values, power and size," THEMA Working Papers 2003-26, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise. [Downloadable!]
      Other versions:
    3. Siem Jan Koopman & Borus Jungbacker & Eugenie Hol, 2004. "Forecasting Daily Variability of the S&P 100 Stock Index using Historical, Realised and Implied Volatility Measurements," Tinbergen Institute Discussion Papers 04-016/4, Tinbergen Institute. [Downloadable!]
      Other versions:
    4. Ole E. Barndorff-Nielsen & Neil Shephard, 2003. "Impact of jumps on returns and realised variances: econometric analysis of time-deformed Levy processes," Economics Papers 2003-W12, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
      Other versions:
    5. Siem Jan Koopman & Marius Ooms & M. Angeles Carnero, 2005. "Periodic Seasonal Reg-ARFIMA-GARCH Models for Daily Electricity Spot Prices," Tinbergen Institute Discussion Papers 05-091/4, Tinbergen Institute. [Downloadable!]
      Other versions:
    6. S. Lardic & V. Mignon, 2003. "The exact minimum likelihood estimation of ARFIMA processes and model selection criteria: A Monte Carlo study," THEMA Working Papers 2003-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise. [Downloadable!]
    7. Charles S. Bos, 2003. "Time Series Modelling using TSMod 3.24," Tinbergen Institute Discussion Papers 03-091/4, Tinbergen Institute. [Downloadable!]
      Other versions:
    8. 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:
    9. Fulvio Corsi & Uta Kretschmer & Stefan Mittnik & Christian Pigorsch, 2005. "The Volatility of Realized Volatility," CFS Working Paper Series 2005/33, Center for Financial Studies. [Downloadable!]
    10. Charles S. Bos & Siem Jan Koopman & Marius Ooms, 2007. "Long memory modelling of inflation with stochastic variance and structural breaks," CREATES Research Papers 2007-44, School of Economics and Management, University of Aarhus. [Downloadable!]
      Other versions:

  7. Siem Jan Koopman & Marius Ooms, 2001. "Time Series Modelling of Daily Tax Revenues," Tinbergen Institute Discussion Papers 01-032/4, Tinbergen Institute. [Downloadable!]
    Other versions:
    Published as:

    Cited by:

    1. Alberto Cabrero & Gonzalo Camba-Mendez & Astrid Hirsch & Fernando Nieto, 2002. "Modelling the daily banknotes in circulation in the context of the liquidity management of the European Central Bank," Working Paper Series 142, European Central Bank. [Downloadable!]
    2. Alberto Cabrero & Gonzalo Camba-Mendez & Astrid Hirsch & Fernando Nieto, 2002. "Modelling the daily banknotes in circulation in the context of the liquidity management of the European Central Bank," Banco de España Working Papers 0211, Banco de España. [Downloadable!]

  8. Charles S. Bos & Philip Hans Franses & Marius Ooms, 2001. "Inflation, Forecast Intervals and Long Memory Regression Models," Tinbergen Institute Discussion Papers 01-029/4, Tinbergen Institute. [Downloadable!]
    Published as:

    Cited by:

    1. James H. Stock & Mark W. Watson, 2008. "Phillips Curve Inflation Forecasts," NBER Working Papers 14322, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    2. J. Cuñado & L. Gil-Alana & F. Gracia, 2009. "US stock market volatility persistence: evidence before and after the burst of the IT bubble," Review of Quantitative Finance and Accounting, Springer, vol. 33(3), pages 233-252, October. [Downloadable!] (restricted)
    3. Claudio Morana & Fabio Cesare Bagliano, 2007. "Inflation and monetary dynamics in the USA: a quantity-theory approach," Applied Economics, Taylor and Francis Journals, vol. 39(2), pages 229-244, February. [Downloadable!] (restricted)
    4. Siem Jan Koopman & Borus Jungbacker & Eugenie Hol, 2004. "Forecasting Daily Variability of the S&P 100 Stock Index using Historical, Realised and Implied Volatility Measurements," Tinbergen Institute Discussion Papers 04-016/4, Tinbergen Institute. [Downloadable!]
      Other versions:
    5. N. Hyung & P.H.B.F. Franses, 2001. "Structural breaks and long memory in US inflation rates," Econometric Institute Report 221, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
    6. Florian Heinen & Philipp Sibbertsen & Robinson Kruse, 2009. "Forecasting long memory time series under a break in persistence," CREATES Research Papers 2009-53, School of Economics and Management, University of Aarhus. [Downloadable!]
      Other versions:
    7. James H. Stock & Mark W. Watson, 2008. "Phillips curve inflation forecasts," Conference Series ; [Proceedings], Federal Reserve Bank of Boston. [Downloadable!]
    8. 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!]
    9. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2009. "Multi-Factor Gegenbauer Processes and European Inflation Rates," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
      Other versions:
    10. John W. Galbraith & Greg Tkacz, 2007. "How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables," Working Papers 07-1, Bank of Canada. [Downloadable!]
    11. Markku Lanne, 2006. "A Mixture Multiplicative Error Model for Realized Volatility," Economics Working Papers ECO2006/3, European University Institute. [Downloadable!]
      Other versions:
    12. Juncal Cunado & Luis A. Gil-Alana & Fernando Pérez de Gracia, 2006. "Additional Empirical Evidence on Real Convergence: A Fractionally Integrated Approach," Review of World Economics (Weltwirtschaftliches Archiv), Springer, vol. 142(1), pages 67-91, April. [Downloadable!] (restricted)
      Other versions:
    13. Richard T. Baille & Claudio Morana, 2009. "Investigating Inflation Dynamics and Structural Change with an Adaptive ARFIMA Approach," ICER Working Papers - Applied Mathematics Series 06-2009, ICER - International Centre for Economic Research. [Downloadable!]
    14. Laura Mayoral, 2005. "The Persistence of Inflation in OECDCountries: a Fractionally Integrated Approach," Economics Working Papers 958, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2005. [Downloadable!]
      Other versions:
    15. 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:

  9. Jurgen A. Doornik & Marius Ooms, 2000. "Multimodality and the GARCH Likelihood," Econometric Society World Congress 2000 Contributed Papers 0798, Econometric Society. [Downloadable!]
    Other versions:

    Cited by:

    1. Soosung Hwang & Pedro Valls Pereira, 2006. "Small sample properties of GARCH estimates and persistence," European Journal of Finance, Taylor and Francis Journals, vol. 12(6-7), pages 473-494, October. [Downloadable!] (restricted)
      Other versions:
    2. Henrik Amilon, 2002. "A Score Test for Discreteness in GARCH Models," Research Paper Series 76, Quantitative Finance Research Centre, University of Technology, Sydney. [Downloadable!]
    3. Laurini, M. P. & Portugal, M. S., 2003. "Long Memory int the R$/US$ Exchange Rate: A Robust Analysis," Finance Lab Working Papers flwp_50, Finance Lab, Ibmec São Paulo. [Downloadable!]
    4. B. D. McCullough & H. D. Vinod, 2003. "Verifying the Solution from a Nonlinear Solver: A Case Study," American Economic Review, American Economic Association, vol. 93(3), pages 873-892, June. [Downloadable!]
    5. Eric Hillebrand & Gunther Schnabl, 2004. "The Effects of Japanese Foreign Exchange Intervention: GARCH Estimation and Change Point Detection," International Finance 0410008, EconWPA. [Downloadable!]
      Other versions:
    6. Kwami Adanu, 2006. "Optimizing the Garch Model–An Application of Two Global and Two Local Search Methods," Computational Economics, Springer, vol. 28(3), pages 277-290, October. [Downloadable!] (restricted)

  10. M. Ooms & J.A. Doornik, 1999. "Inference and forecasting for fractional autoregressive integrated moving average models; with an application to US and UK inflation," Econometric Institute Report 171, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
    Other versions:

    Cited by:

    1. Claudio Morana, 2000. "Measuring core inflation in the Euro area," Working Paper Series 36, European Central Bank. [Downloadable!]
    2. Arielle Beyaert, 2004. "Fractional Output Convergence, with an Application to Nine Developed Countries," Econometric Society 2004 Australasian Meetings 280, Econometric Society. [Downloadable!]
    3. Jurgen A. Doornik & Marius Ooms, 2001. "Computational Aspects of Maximum Likelihood Estimation of Autoregressive Fractionally Integrated Moving Average Models," Economics Papers 2001-W27, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
      Other versions:
    4. Taner Yigit, 2007. "Inflation Targeting : An Indirect Approach to Assess the Direct Impact," Departmental Working Papers 0706, Bilkent University, Department of Economics. [Downloadable!]
    5. Emma M. Iglesias & Garry D. A. Phillips, 2005. "Analysing one-month Euro-market interest rates by fractionally integrated models," Applied Financial Economics, Taylor and Francis Journals, vol. 15(2), pages 95-106, January. [Downloadable!] (restricted)
    6. Vasco J. Gabriel & Luis F. Martins, 2000. "The Forecast Performance of Long Memory and Markov Switching Models," NIPE Working Papers 2/2000, NIPE - Universidade do Minho. [Downloadable!]
    7. Isao Ishida & Toshiaki Watanabe, 2009. "Modeling and Forecasting the Volatility of the Nikkei 225 Realized Volatility Using the ARFIMA-GARCH Model," Global COE Hi-Stat Discussion Paper Series gd08-032, Institute of Economic Research, Hitotsubashi University. [Downloadable!]
    8. Taner Yigit, 2002. "Effects of Moments on Aggregation and Long Memory in Inflation," Departmental Working Papers 0210, Bilkent University, Department of Economics. [Downloadable!]
      Other versions:
    9. Isao Ishida & Toshiaki Watanabe, 2009. "Modeling and Forecasting the Volatility of the Nikkei 225 Realized Volatility Using the ARFIMA-GARCH Model," CIRJE F-Series CIRJE-F-608, CIRJE, Faculty of Economics, University of Tokyo. [Downloadable!]
    10. Richard T. Baille & Claudio Morana, 2009. "Investigating Inflation Dynamics and Structural Change with an Adaptive ARFIMA Approach," ICER Working Papers - Applied Mathematics Series 06-2009, ICER - International Centre for Economic Research. [Downloadable!]
    11. Laura Mayoral, 2005. "The Persistence of Inflation in OECDCountries: a Fractionally Integrated Approach," Economics Working Papers 958, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2005. [Downloadable!]
      Other versions:
    12. Emmanuel Dubois & Sandrine Lardic & Valérie Mignon, 2004. "The Exact Maximum Likelihood-Based Test for Fractional Cointegration: Critical Values, Power and Size," Computational Economics, Springer, vol. 24(3), pages 239-255, July. [Downloadable!] (restricted)
      Other versions:

  11. Ooms, M. & Franses, Ph.H.B.F., 1998. "A seasonal periodic long memory model for monthly river flows," Econometric Institute Report EI 9842 Revision_Date: 20, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]

    Cited by:

    1. Marius Ooms & M. Angeles Carnero & Siem Jan Koopman, 2004. "Periodic Heteroskedastic RegARFIMA models for daily electricity spot prices," Econometric Society 2004 Australasian Meetings 158, Econometric Society. [Downloadable!]
      Other versions:
    2. Siem Jan Koopman & Marius Ooms & Irma Hindrayanto, 2006. "Periodic Unobserved Cycles in Seasonal Time Series with an Application to US Unemployment," Tinbergen Institute Discussion Papers 06-101/4, Tinbergen Institute. [Downloadable!]
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    3. Marius Ooms & Björn de Groot & Siem Jan Koopman, 1999. "Time-Series Modelling of Daily Tax Revenues," Computing in Economics and Finance 1999 312, Society for Computational Economics. [Downloadable!]
      Other versions:
    4. Siem Jan Koopman & Marius Ooms & M. Angeles Carnero, 2005. "Periodic Seasonal Reg-ARFIMA-GARCH Models for Daily Electricity Spot Prices," Tinbergen Institute Discussion Papers 05-091/4, Tinbergen Institute. [Downloadable!]
      Other versions:

  12. Charles S. Bos & Philip Hans Franses & Marius Ooms, 1998. "Long Memory and Level Shifts: Re-Analyzing Inflation Rates," Tinbergen Institute Discussion Papers 98-039/4, Tinbergen Institute. [Downloadable!]
    Other versions:
    Published as:

    Cited by:

    1. Eric Hillebrand & Gunther Schnabl & Yasemin Ulu, 2006. "Japanese Foreign Exchange Intervention and the Yen/Dollar Exchange Rate: A Simultaneous Equations Approach Using Realized Volatility," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
    2. Elena Andreou & Eric Ghysels, 2001. "Detecting Mutiple Breaks in Financial Market Volatility Dynamics," CIRANO Working Papers 2001s-65, CIRANO. [Downloadable!]
      Other versions:
    3. Niels Haldrup & Morten O. Nielsen, 2004. "A Regime Switching Long Memory Model for Electricity Prices," Economics Working Papers 2004-2, School of Economics and Management, University of Aarhus. [Downloadable!]
      Other versions:
    4. Haldrup, Niels & Nielsen, Morten Oe., . "Estimation of Fractional Integration in the Presence of Data Noise," Economics Working Papers 2003-10, School of Economics and Management, University of Aarhus. [Downloadable!]
      Other versions:
    5. Claudio Morana, 2000. "Measuring core inflation in the Euro area," Working Paper Series 36, European Central Bank. [Downloadable!]
    6. Claudio Morana & Fabio Cesare Bagliano, 2007. "Inflation and monetary dynamics in the USA: a quantity-theory approach," Applied Economics, Taylor and Francis Journals, vol. 39(2), pages 229-244, February. [Downloadable!] (restricted)
    7. 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)
    8. Cleomar Gomes da Silva & Maria Carolina da Silva Leme, 2008. "Inflation and Interest Rate: Which one is more persistent in Brazil?," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807181224190, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics]. [Downloadable!]
    9. A.B. Berkelaar & R. Kouwenberg, 1999. "Investing in a real world with mean-reverting inflation," Econometric Institute Report 182, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
      Other versions:
    10. Vasco J. Gabriel & Luis F. Martins, 2000. "The Forecast Performance of Long Memory and Markov Switching Models," NIPE Working Papers 2/2000, NIPE - Universidade do Minho. [Downloadable!]
    11. Stephan Popp, 2008. "A Nonlinear Unit Root Test in the Presence of an Unknown Break," Ruhr Economic Papers 0045, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen. [Downloadable!]
    12. Gadea, Maria & Mayoral, Laura, 2005. "The Persistence of Inflation in OECD Countries: A Fractionally Integrated Approach," MPRA Paper 815, University Library of Munich, Germany. [Downloadable!]
      Other versions:
    13. G. K. Randolph TAN, 2004. "Long Memory in Import and Export Price Inflation and Persistence of Shocks to the Terms of Trade," Econometric Society 2004 Far Eastern Meetings 732, Econometric Society. [Downloadable!]
    14. M. Ooms & J.A. Doornik, 1999. "Inference and forecasting for fractional autoregressive integrated moving average models; with an application to US and UK inflation," Econometric Institute Report 171, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
      Other versions:
    15. Charles S. Bos, 2003. "Time Series Modelling using TSMod 3.24," Tinbergen Institute Discussion Papers 03-091/4, Tinbergen Institute. [Downloadable!]
      Other versions:
    16. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2009. "Multi-Factor Gegenbauer Processes and European Inflation Rates," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
      Other versions:
    17. Richard T. Baille & Claudio Morana, 2009. "Investigating Inflation Dynamics and Structural Change with an Adaptive ARFIMA Approach," ICER Working Papers - Applied Mathematics Series 06-2009, ICER - International Centre for Economic Research. [Downloadable!]
    18. N. Hyung & P.F. Franses, 2002. "Inflation rates," Econometric Institute Report 261, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
    19. Richard Paap & Philip Hans Franses & Marco Van Der Leij, 2002. "Modelling and forecasting level shifts in absolute returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 601-616. [Downloadable!]
    20. Chih-Chiang Hsu, 2000. "Long Memory or Structural Change: Testing Method and Empirical Examination," Econometric Society World Congress 2000 Contributed Papers 0867, Econometric Society. [Downloadable!]
    21. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2007. "Long Run and Cyclical Dynamics in the US Stock Market," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
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    22. Charles S. Bos & Philip Hans Franses & Marius Ooms, 2001. "Inflation, Forecast Intervals and Long Memory Regression Models," Tinbergen Institute Discussion Papers 01-029/4, Tinbergen Institute. [Downloadable!]
      Other versions:
    23. Haldrup; Niels & Morten Oerregaard Nielsen, 2005. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Economics Working Papers 2005-18, School of Economics and Management, University of Aarhus. [Downloadable!]
      Other versions:
    24. Luis A. Gil-Alana, 2003. "Fractional Integration with Bloomfield Disturbances in the Specification of Real Output in the G7 Countries," The B.E. Journal of Macroeconomics, Berkeley Electronic Press, vol. 0(1). [Downloadable!]
    25. C.S. Bos & S.J. Koopman & M. Ooms, 2007. "Long Memory Modelling of Inflation with Stochastic Variance and Structural Breaks," Tinbergen Institute Discussion Papers 07-099/4, Tinbergen Institute. [Downloadable!]
      Other versions:

  13. Ooms, Marius & Hassler, Uwe, 1996. "A note on the effect of seasonal dummies on the periodogram regression," Econometric Institute Report 35, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
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    Cited by:

    1. G. K. Randolph TAN, 2004. "Long Memory in Import and Export Price Inflation and Persistence of Shocks to the Terms of Trade," Econometric Society 2004 Far Eastern Meetings 732, Econometric Society. [Downloadable!]

  14. Ooms, Marius, 1995. "Flexible seasonal long memory and economic time series," Econometric Institute Report 134, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
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    Cited by:

    1. Josu Artech & Peter M Robinson, 1998. "Seasonal and Cyclical Long Memory - (Now published in S Ghosh (ed): Asymptotics, Nonparametrics and Time Series: A Tribute to Madam Lal Puri (Marcel Decker, 1999), pp.115-145.)," STICERD - Econometrics Paper Series /1998/360, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE. [Downloadable!]
    2. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2004. "Non-Linearities And Fractional Integration In The Us Unemployment Rate," Public Policy Discussion Papers 04-17, Economics and Finance Section, School of Social Sciences, Brunel University. [Downloadable!]
      Other versions:
    3. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana, 2008. "Modelling Long-Run Trends and Cycles in Financial Time Series Data," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
    4. L. Gil-Alana, . "Deterministic Seasonality Versus Seasonal Fractional Integration," Sonderforschungsbereich 373 2000-106, Humboldt Universitaet Berlin.
      Other versions:
    5. Guglielmo Caporale & Luis Gil-Alana, 2008. "Testing for unit and fractional orders of integration in the trend and seasonal components of US monetary aggregates," Empirica, Springer, vol. 35(3), pages 241-253, July. [Downloadable!] (restricted)
      Other versions:
    6. Javier De Peña & Luis A. Gil-Alana, 2003. "Testing of Nonstationary Cycles in Financial Time Series Data," Faculty Working Papers 15/03, School of Economics and Business Administration, University of Navarra. [Downloadable!]
      Other versions:
    7. Guglielmo Maria Caporale & Luis A. Gil-Alana & Mike Nazarski, 2004. "Testing Of Nonstationarities In The Unit Circle,Long Memory Processes And Day Of The Week Effects In Financial Data," Economics and Finance Discussion Papers 04-20, Economics and Finance Section, School of Social Sciences, Brunel University. [Downloadable!]
      Other versions:
    8. Luis A. Gil-alana, 2006. "Testing Seasonality in the Context of Fractionally Integrated Processes," Annales d'Economie et de Statistique, ADRES, issue 81, pages 03, Janvier-M. [Downloadable!]
    9. Brandon Whitcher, 2000. "Wavelet-Based Estimation Procedures For Seasonal Long-Memory Models," Computing in Economics and Finance 2000 148, Society for Computational Economics. [Downloadable!]
    10. L. Gil-Alana, 2007. "Long run and cyclical strong dependence in macroeconomic time series: Nelson and Plosser revisited," Empirica, Springer, vol. 34(2), pages 139-154, April. [Downloadable!] (restricted)
    11. Ignacio Rodríguez Carreño & L. Gila Useros, A. Malanda Trigueros, J. Navallas Irujo, J. Rodríguez Falces, S. Gómez Elvira, 2008. "Influence of Baseline Fluctuation Cancellation on Automatic Measurement of Motor Unit Action Potential Duration," Faculty Working Papers 13/08, School of Economics and Business Administration, University of Navarra. [Downloadable!]
    12. L. Gil-Alana, . "A Generalized Fractional Time Series Model," Sonderforschungsbereich 373 2000-107, Humboldt Universitaet Berlin.
    13. L. A. Gil-Alana & P. M. Robinson, 2001. "Testing of seasonal fractional integration in UK and Japanese consumption and income," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 95-114. [Downloadable!]
      Other versions:
    14. Gil-Alana, L. A., 2003. "A Generalized Fractional Time Series Model: Testing the Order of Integration of Trend Seasonal and Cyclical components," Review on Economic Cycles, International Association of Economic Cycles, vol. 7(1), December. [Downloadable!]

Articles

  1. Doornik, Jurgen A. & Ooms, Marius, 2008. "Multimodality in GARCH regression models," International Journal of Forecasting, Elsevier, vol. 24(3), pages 432-448. [Downloadable!] (restricted)

    Cited by:

    1. Bernd Hayo & Ali M. Kutan & Matthias Neuenkirch, 2009. "FOMC Communication and Emerging Equity Markets," MAGKS Papers on Economics 200923, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung). [Downloadable!]
    2. Bernd Hayo & Matthias Neuenkirch, 2009. "Domestic or U.S. News: What Drives Canadian Financial Markets?," MAGKS Papers on Economics 200908, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung). [Downloadable!]
    3. David Büttner & Bernd Hayo & Matthias Neuenkirch, 2009. "The Impact of Foreign Macroeconomic News on Financial Markets in the Czech Republic, Hungary, and Poland," MAGKS Papers on Economics 200903, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung). [Downloadable!]

  2. Koopman, Siem Jan & Ooms, Marius & Carnero, M. Angeles, 2007. "Periodic Seasonal Reg-ARFIMAGARCH Models for Daily Electricity Spot Prices," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 16-27, March. [Downloadable!] (restricted)
    Other versions:

    See citations under working paper version above.

  3. Marius Ooms & Jurgen A. Doornik, 2006. "Econometric software development: past, present and future," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 60(2), pages 206-224. [Downloadable!] (restricted)

    Cited by:

    1. Roger Koenker & Achim Zeileis, 2009. "On reproducible econometric research," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 833-847. [Downloadable!]
    2. Ooms, M., 2008. "Trends in Applied Econometrics Software Development 1985-2008, an analysis of Journal of Applied Econometrics research articles, software reviews, data and code," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics. [Downloadable!]

  4. Bart Hobijn & Philip Hans Franses & Marius Ooms, 2004. "Generalizations of the KPSS-test for stationarity," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(4), pages 483-502. [Downloadable!] (restricted)

    Cited by:

    1. Xiao, Zhijie & Lima, Luiz Renato Regis de Oliveira, 2006. "Testing Covariance Stationarity," Economics Working Papers (Ensaios Economicos da EPGE) 632, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
      Other versions:
    2. Christopher F Baum & John Barkoulas, 2002. "Dynamics of Intra-EMS Interest Rate Linkages," Computing in Economics and Finance 2002 13, Society for Computational Economics. [Downloadable!]
      Other versions:
    3. Jönsson, Kristian, 2006. "Testing Stationarity in Small and Medium-Sized Samples when Disturbances are Serially Correlated," Working Papers 2006:20, Lund University, Department of Economics, revised 09 Nov 2009. [Downloadable!]
    4. Jushan Bai & Serena Ng, 2001. "A New Look at Panel Testing of Stationarity and the PPP Hypothesis," Boston College Working Papers in Economics 518, Boston College Department of Economics. [Downloadable!]
      Other versions:
    5. Lee Kian Lim & Michael McAleer, 2004. "Convergence and catching up in ASEAN: a comparative analysis," Applied Economics, Taylor and Francis Journals, vol. 36(2), pages 137-153, February. [Downloadable!] (restricted)
      Other versions:
    6. Stéphane Adjemian, 2003. "Convergence des productivités européennes : Transition, rupture et racine unitaire," Annales d'Economie et de Statistique, ADRES, issue 69, pages 02, Janvier-M. [Downloadable!]
    7. Vasco J. Gabriel, 2001. "Tests for the Null Hypothesis of Cointegration: a Monte Carlo Comparison," NIPE Working Papers 7/2001, NIPE - Universidade do Minho. [Downloadable!]
    8. Bart Hobijn & Philip Hans Franses, 2000. "Asymptotically perfect and relative convergence of productivity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 59-81. [Downloadable!]
      Other versions:
    9. Eberhardt, Markus & Teal, Francis, 2009. "A Common Factor Approach to Spatial Heterogeneity in Agricultural Productivity Analysis," MPRA Paper 15810, University Library of Munich, Germany. [Downloadable!]
    10. Yilmazkuday, Hakan, 2009. "Inflation Targeting and Inflation Convergence within Turkey," MPRA Paper 16770, University Library of Munich, Germany. [Downloadable!]
    11. Ismail H. GENC & Anil RUPASINGHA, 2009. "Time-series Tests of Stochastic Earnings Convergence across US Nonmetropolitan Counties, 1969-2004," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 9(2). [Downloadable!] (restricted)
    12. Corrado, L. & Martin, R. & Weeks, M., 2004. "Identifying and Interpreting Convergence Clusters Across Europe," Cambridge Working Papers in Economics 0414, Faculty of Economics, University of Cambridge. [Downloadable!]
      Other versions:
    13. Jönsson , Kristian, 2006. "Finite-Sample Stability of the KPSS Test," Working Papers 2006:23, Lund University, Department of Economics. [Downloadable!]
    14. Vincent Bouvatier, 2006. "Hot money inflows in China : How the people's bank of China took up the challenge," Cahiers de la Maison des Sciences Economiques bla06011, Université Panthéon-Sorbonne (Paris 1). [Downloadable!]
    15. Vincent Bouvatier, 2006. "Hot Money Inflows in China : How the People's Bank of China Took up the Challenge," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00111153_v1, HAL. [Downloadable!]
    16. Schröder, Michael & Hüfner, Felix P., 2002. "Exchange rate pass-through to consumer prices : a European perspective," ZEW Discussion Papers 02-20, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research. [Downloadable!]
    17. L.A. Gil-Alana, 2003. "Testing the Power of a Generalization of the KPSS-Tests against Fractionally Integrated Hypotheses," Computational Economics, Springer, vol. 22(1), pages 23-38, August. [Downloadable!] (restricted)
    18. Daiki Maki, 2008. "The Performance of Variance Ratio Unit Root Tests Under Nonlinear Stationary TAR and STAR Processes: Evidence from Monte Carlo Simulations and Applications," Computational Economics, Springer, vol. 31(1), pages 77-94, February. [Downloadable!] (restricted)
    19. Caner, Mehmet & Kilian, Lutz, 2000. "Size Distortions Of Tests Of The Null Hypothesis Of Stationarity: Evidence And Implications For The PPP Debate," CEPR Discussion Papers 2425, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
      Other versions:
    20. Ulrich K. Müller, 2002. "Size and Power of Tests for Stationarity in Highly Autocorrelated Time Series," University of St. Gallen Department of Economics working paper series 2002 2002-26, Department of Economics, University of St. Gallen. [Downloadable!]
    21. Lüders, Erik & Lüders-Amann, Inge & Schröder, Michael, 2004. "The Power Law and Dividend Yields," ZEW Discussion Papers 04-51, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research. [Downloadable!]
    22. Lee Kian Lim, 2000. "Convergence and Catching Up in South-East Asia: A Comparative Analysis," Econometric Society World Congress 2000 Contributed Papers 1844, Econometric Society. [Downloadable!]

  5. Jurgen A. Doornik & Marius Ooms, 2004. "Inference and Forecasting for ARFIMA Models With an Application to US and UK Inflation," Studies in Nonlinear Dynamics & Econometrics, Berkeley Electronic Press, vol. 8(2). [Downloadable!]

    Cited by:

    1. Roxana Chiriac & Valeri Voev, 2008. "Modelling and Forecasting Multivariate Realized Volatility," CoFE Discussion Paper 08-06, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
      Other versions:
    2. Wolfgang Härdle & Julius Mungo, 2007. "Long Memory Persistence in the Factor of Implied Volatility Dynamics," SFB 649 Discussion Papers SFB649DP2007-027, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany. [Downloadable!]
    3. Ying Chen & Wolfgang Härdle & Uta Pigorsch, 2009. "Localized Realized Volatility Modelling," SFB 649 Discussion Papers SFB649DP2009-003, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany. [Downloadable!]
    4. Wolfgang Härdle & Julius Mungo, 2008. "Value-at-Risk and Expected Shortfall when there is long range dependence," SFB 649 Discussion Papers SFB649DP2008-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany. [Downloadable!]
    5. Cleomar Gomes da Silva & Maria Carolina da Silva Leme, 2008. "Inflation and Interest Rate: Which one is more persistent in Brazil?," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807181224190, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics]. [Downloadable!]
    6. Matteo Pelagatti & Pranab Sen, 2009. "A robust version of the KPSS test based on ranks," Working Papers 20090701, Università degli Studi di Milano-Bicocca, Dipartimento di Statistica. [Downloadable!]
    7. Morten Ørregaard Nielsen & Per Frederiksen, 2008. "Fully Modified Narrow-Band Least Squares Estimation of Stationary Fractional Cointegration," Working Papers 1171, Queen's University, Department of Economics. [Downloadable!]
    8. C.S. Bos & S.J. Koopman & M. Ooms, 2007. "Long Memory Modelling of Inflation with Stochastic Variance and Structural Breaks," Tinbergen Institute Discussion Papers 07-099/4, Tinbergen Institute. [Downloadable!]
      Other versions:

  6. Doornik, Jurgen A. & Ooms, Marius, 2003. "Computational aspects of maximum likelihood estimation of autoregressive fractionally integrated moving average models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 333-348, March. [Downloadable!] (restricted)
    Other versions:

    See citations under working paper version above.

  7. Siem Jan Koopman & Marius Ooms, 2003. "Time Series Modelling of Daily Tax Revenues," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(4), pages 439-469. [Downloadable!] (restricted)
    Other versions:

    See citations under working paper version above.

  8. Bos, Charles S. & Franses, Philip Hans & Ooms, Marius, 2002. "Inflation, forecast intervals and long memory regression models," International Journal of Forecasting, Elsevier, vol. 18(2), pages 243-264. [Downloadable!] (restricted)
    Other versions:

    See citations under working paper version above.

  9. Eisinga, Rob & Franses, Philip Hans & Ooms, Marius, 1999. "Forecasting long memory left-right political orientations," International Journal of Forecasting, Elsevier, vol. 15(2), pages 185-199, April. [Downloadable!] (restricted)

    Cited by:

    1. Ana Pérez & Esther Ruiz, 2001. "Modelos De Memoria Larga Para Series Económicas Y Financieras," Documentos de Trabajo de Estadística y Econometría ds010101, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
    2. Laura Mayoral & Juan J. Dolado & Jesús Gonzalo, 2003. "Long-range dependence in Spanish political opinion poll series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 137-155. [Downloadable!]

  10. Marius Ooms, 1999. "Review of SsfPack 2.2: statistical algorithms for models in state space," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 161-166.

    Cited by:

    1. Francisco Cribari-Neto & Spyros Zarkos, 2003. "Econometric and Statistical Computing Using Ox," Computational Economics, Springer, vol. 21(3), pages 277-295, June. [Downloadable!] (restricted)

  11. 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:

    See citations under working paper version above.

  12. Ooms, Marius & Hassler, Uwe, 1997. "On the effect of seasonal adjustment on the log-periodogram regression," Economics Letters, Elsevier, vol. 56(2), pages 135-141, October. [Downloadable!] (restricted)

    Cited by:

    1. Luis A. Gil-Alana, 2004. "Deterministic Seasonality versus Seasonal Fractional Integration," Faculty Working Papers 07/04, School of Economics and Business Administration, University of Navarra. [Downloadable!]
      Other versions:
    2. M. Ooms & J.A. Doornik, 1999. "Inference and forecasting for fractional autoregressive integrated moving average models; with an application to US and UK inflation," Econometric Institute Report 171, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
      Other versions:
    3. Charles S. Bos & Philip Hans Franses & Marius Ooms, 1998. "Long Memory and Level Shifts: Re-Analyzing Inflation Rates," Tinbergen Institute Discussion Papers 98-039/4, Tinbergen Institute. [Downloadable!]
      Other versions:
    4. Charles S. Bos & Philip Hans Franses & Marius Ooms, 2001. "Inflation, Forecast Intervals and Long Memory Regression Models," Tinbergen Institute Discussion Papers 01-029/4, Tinbergen Institute. [Downloadable!]
      Other versions:

  13. Ooms, Marius & Franses, Philip Hans, 1997. "On Periodic Correlations between Estimated Seasonal and Nonseasonal Components in German and U.S. Unemployment," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 470-81, October.

    Cited by:

    1. Marius Ooms & M. Angeles Carnero & Siem Jan Koopman, 2004. "Periodic Heteroskedastic RegARFIMA models for daily electricity spot prices," Econometric Society 2004 Australasian Meetings 158, Econometric Society. [Downloadable!]
      Other versions:
    2. S.J. Koopman & P.H.B.F. Franses, 2001. "Constructing seasonally adjusted data with time-varying confidence intervals," Econometric Institute Report 210, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
      Other versions:
    3. Pami Dua & Lokendra Kumawat, 2005. "Modelling and Forecasting Seasonality in Indian Macroeconomic Time Series," Working papers 136, Centre for Development Economics, Delhi School of Economics. [Downloadable!]
    4. Ph.H.B.F. Franses & P.T. de Bruin, 1999. "Seasonal adjustment and the business cycle in unemployment," Econometric Institute Report 152, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
    5. Raymund Abara, 2006. "Estimation and evaluation of asset pricing models with habit formation using Philippine data," Applied Economics Letters, Taylor and Francis Journals, vol. 13(8), pages 493-497, June. [Downloadable!] (restricted)

  14. Franses, Philip Hans & Ooms, Marius, 1997. "A periodic long-memory model for quarterly UK inflation," International Journal of Forecasting, Elsevier, vol. 13(1), pages 117-126, March. [Downloadable!] (restricted)

    Cited by:

    1. Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00283710_v1, HAL. [Downloadable!]
      Other versions:
    2. Dominique Guegan, 2003. "A prospective study of the k-factor Gegenbauer processes with heteroscedastic errors and an application to inflation rates," Post-Print halshs-00201314_v1, HAL. [Downloadable!]
    3. 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)
    4. Ana Pérez & Esther Ruiz, 2001. "Modelos De Memoria Larga Para Series Económicas Y Financieras," Documentos de Trabajo de Estadística y Econometría ds010101, Universidad Carlos III, Departamento de Estadística y Econometría. [Downloadable!]
    5. Gadea, Maria & Mayoral, Laura, 2005. "The Persistence of Inflation in OECD Countries: A Fractionally Integrated Approach," MPRA Paper 815, University Library of Munich, Germany. [Downloadable!]
      Other versions:
    6. G. K. Randolph TAN, 2004. "Long Memory in Import and Export Price Inflation and Persistence of Shocks to the Terms of Trade," Econometric Society 2004 Far Eastern Meetings 732, Econometric Society. [Downloadable!]
    7. John Barkoulas & Christopher F. Baum, 2003. "Long-Memory Forecasting of U.S. Monetary Indices," Boston College Working Papers in Economics 558, Boston College Department of Economics. [Downloadable!]
      Other versions:
    8. Guglielmo Maria Caporale & Luis A. Gil-Alana, 2009. "Multi-Factor Gegenbauer Processes and European Inflation Rates," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
      Other versions:
    9. John W. Galbraith & Greg Tkacz, 2007. "How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables," Working Papers 07-1, Bank of Canada. [Downloadable!]

Did you know? About 2700 working paper series are listed on RePEc.

This page was last updated on 2010-1-6.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.