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Temporal Aggregation and Bandwidth Selection in Estimating Long Memory

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Souza, Leonardo Rocha

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Paper provided by Graduate School of Economics, Getulio Vargas Foundation (Brazil) in its series Economics Working Papers (Ensaios Economicos da EPGE) with number 478.

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Date of creation: 30 Mar 2003
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Handle: RePEc:fgv:epgewp:478

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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. Bisaglia, Luisa & Guegan, Dominique, 1998. "A comparison of techniques of estimation in long-memory processes," Computational Statistics & Data Analysis, Elsevier, vol. 27(1), pages 61-81, March. [Downloadable!] (restricted)
  2. Diebold, Francis X. & Rudebusch, Glenn D., 1989. "Long memory and persistence in aggregate output," Journal of Monetary Economics, Elsevier, vol. 24(2), pages 189-209, September. [Downloadable!] (restricted)
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  3. Chambers, Marcus J, 1998. "Long Memory and Aggregation in Macroeconomic Time Series," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 1053-72, November.
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  4. Souza, Leonardo R. & Smith, Jeremy, 2004. "Effects of temporal aggregation on estimates and forecasts of fractionally integrated processes: a Monte-Carlo study," International Journal of Forecasting, Elsevier, vol. 20(3), pages 487-502. [Downloadable!] (restricted)
  5. Souza, Leonardo R. & Smith, Jeremy, 2002. "Bias in the memory parameter for different sampling rates," International Journal of Forecasting, Elsevier, vol. 18(2), pages 299-313. [Downloadable!] (restricted)
  6. Souza, Leonardo Rocha, 2003. "The Aliasing Effect, the Fejer Kernel and Temporally Aggregated Long Memory Processes," Economics Working Papers (Ensaios Economicos da EPGE) 470, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
  7. Smith, Jeremy & Taylor, Nick & Yadav, Sanjay, 1995. "Comparing the Bias and Misspecification in Arfima Models," The Warwick Economics Research Paper Series (TWERPS) 442, University of Warwick, Department of Economics.
  8. Breidt, F. Jay & Crato, Nuno & de Lima, Pedro, 1998. "The detection and estimation of long memory in stochastic volatility," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 325-348. [Downloadable!] (restricted)
  9. Hosking, Jonathan R. M., 1996. "Asymptotic distributions of the sample mean, autocovariances, and autocorrelations of long-memory time series," Journal of Econometrics, Elsevier, vol. 73(1), pages 261-284, July. [Downloadable!] (restricted)
  10. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-313, September. [Downloadable!] (restricted)
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(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. Khan, M. Ali, 2003. "On choice of technique in the Robinson-Solow-Srinivasan model," Economics Working Papers (Ensaios Economicos da EPGE) 504, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
  2. Kuswanto, Heri, 2009. "A New Simple Test Against Spurious Long Memory Using Temporal Aggregation," Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Universität Hannover dp-425, Universität Hannover, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]
  3. Souza, Leonardo Rocha & Smith, Jeremy & Souza, Reinaldo Castro de, 2003. "Convex Combinations of Long Memory Estimates from Different Sampling Rates," Economics Working Papers (Ensaios Economicos da EPGE) 489, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
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  4. Per Frederiksen & Frank S. Nielsen, 2008. "Estimation of Dynamic Models with Nonparametric Simulated Maximum Likelihood," CREATES Research Papers 2008-59, School of Economics and Management, University of Aarhus. [Downloadable!]
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