JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.



Back to main JSM 2007 Program page




Activity Number: 8
Type: Invited
Date/Time: Sunday, July 29, 2007 : 2:00 PM to 3:50 PM
Sponsor: International Indian Statistical Association
Abstract - #307706
Title: Multiple Local Whittle Estimation in Stationary Systems
Author(s): Peter M. Robinson*+
Companies: London School of Economics
Address: Houghton Street, London, WC2A 2AE, United Kingdom
Keywords: long memory ; semiparametric estimation ; cointegration ; phase ; consistency ; asymptotic normality
Abstract:

Related long memory time series x(t), y(t) may have different or identical memory parameters. In the latter case the possibility exists of domination by a single common component, such that an instantaneous linear combination y(t)-ßx(t) of the series has shorter memory than x(t), y(t). A semiparametric version of the problem presents four unknown parameters of interest: two memory parameters, a phase parameter, and ß. We estimate them jointly by optimizing a local Whittle function that entails a single smoothing number, covering also the case where ß=0 and y(t) and z(t) have different memory parameters. The consistency proof is non-standard in that the ß estimate converges faster than the others. Joint asymptotic normality is also established. Misspecification of the phase can slow convergence of estimates of ß, and cause inconsistency of memory parameter estimates.


  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2007 program

JSM 2007 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised September, 2007