• Media type: E-Book
  • Title: Gaussian Estimation of Parametric Spectral Density with Unknown Pole
  • Contributor: Giraitis, Liudas [Author]; Hidalgo, Javier S. [Other]
  • imprint: [S.l.]: SSRN, [2008]
  • Published in: LSE STICERD Research Paper ; No. EM424
  • Extent: 1 Online-Ressource (39 p)
  • Language: English
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments August 2001 erstellt
  • Description: We consider a parametric spectral density with power-law behaviour about a fractional pole at the unknown frequency w. The case of unknown w, especially w = 0, is standard in the long memory literature. When w is unknown, asymptotic distribution theory for estimates of parameters, including the (long) memory parameter, is significantly harder. We study a form of Gaussian estimate. We establsih n-consistency of the estimate of w, and discuss its (non-standard) limiting distributional behaviour. For the remaining parameter estimates, we establish Vn-consistency and asymptotic normality
  • Access State: Open Access