The Annals of Statistics

Exact local Whittle estimation of fractional integration

Katsumi Shimotsu and Peter C. B. Phillips
Source: Ann. Statist. Volume 33, Number 4 (2005), 1890-1933.

Abstract

An exact form of the local Whittle likelihood is studied with the intent of developing a general-purpose estimation procedure for the memory parameter (d) that does not rely on tapering or differencing prefilters. The resulting exact local Whittle estimator is shown to be consistent and to have the same $N(0,\frac{1}{4})$ limit distribution for all values of d if the optimization covers an interval of width less than $\frac{9}{2}$ and the initial value of the process is known.

First Page: Show Hide
Primary Subjects: 62M10
Full-text: Open access
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aos/1123250232
Digital Object Identifier: doi:10.1214/009053605000000309
Mathematical Reviews number (MathSciNet): MR2166565
Zentralblatt MATH identifier: 1081.62069

References

Geweke, J. and Porter-Hudak, S. (1983). The estimation and application of long memory time series models. J. Time Ser. Anal. 4 221--238.
Mathematical Reviews (MathSciNet): MR738585
Henry, M. and Robinson, P. M. (1996). Bandwidth choice in Gaussian semiparametric estimation of long range dependence. Athens Conference on Applied Probability and Time Series. Lecture Notes in Statist. 115 220--232. Springer, New York.
Mathematical Reviews (MathSciNet): MR1466748
Hurvich, C. M. and Chen, W. W. (2000). An efficient taper for potentially overdifferenced long-memory time series. J. Time Ser. Anal. 21 155--180.
Mathematical Reviews (MathSciNet): MR1771841
Digital Object Identifier: doi:10.1111/1467-9892.00179
Zentralblatt MATH: 0958.62085
Kim, C. S. and Phillips, P. C. B. (1999). Log periodogram regression: The nonstationary case. Mimeographed, Cowles Foundation, Yale Univ.
Künsch, H. (1987). Statistical aspects of self-similar processes. In Proc. First World Congress of the Bernoulli Society (Yu. Prokhorov and V. V. Sazanov, eds.) 1 67--74. VNU Science Press, Utrecht.
Mathematical Reviews (MathSciNet): MR1092336
Marinucci, D. and Robinson, P. M. (1999). Alternative forms of fractional Brownian motion. J. Statist. Plann. Inference 80 111--122.
Mathematical Reviews (MathSciNet): MR1713794
Digital Object Identifier: doi:10.1016/S0378-3758(98)00245-6
Zentralblatt MATH: 0934.60071
Phillips, P. C. B. (1999). Discrete Fourier transforms of fractional processes. Cowles Foundation Discussion Paper #1243, Yale Univ. Available at cowles.econ.yale.edu.
Phillips, P. C. B. and Shimotsu, K. (2004). Local Whittle estimation in nonstationary and unit root cases. Ann. Statist. 32 656--692.
Mathematical Reviews (MathSciNet): MR2060173
Digital Object Identifier: doi:10.1214/009053604000000139
Project Euclid: euclid.aos/1083178942
Zentralblatt MATH: 1091.62084
Phillips, P. C. B. and Solo, V. (1992). Asymptotics for linear processes. Ann. Statist. 20 971--1001.
Mathematical Reviews (MathSciNet): MR1165602
Robinson, P. M. (1995). Log-periodogram regression of time series with long-range dependence. Ann. Statist. 23 1048--1072.
Mathematical Reviews (MathSciNet): MR1345214
Robinson, P. M. (1995). Gaussian semiparametric estimation of long-range dependence. Ann. Statist. 23 1630--1661.
Mathematical Reviews (MathSciNet): MR1370301
Robinson, P. M. (2005). The distance between rival nonstationary fractional processes. J. Econometrics. To appear.
Mathematical Reviews (MathSciNet): MR2189554
Digital Object Identifier: doi:10.1016/j.jeconom.2004.08.015
Robinson, P. M. and Marinucci, D. (2001). Narrow-band analysis of nonstationary processes. Ann. Statist. 29 947--986.
Mathematical Reviews (MathSciNet): MR1869235
Digital Object Identifier: doi:10.1214/aos/1013699989
Project Euclid: euclid.aos/1013699988
Zentralblatt MATH: 1012.62100
Shimotsu, K. (2004). Exact local Whittle estimation of fractional integration with unknown mean and time trend. Mimeographed, Queen's Univ., Kingston.
Velasco, C. (1999). Gaussian semiparametric estimation of non-stationary time series. J. Time Ser. Anal. 20 87--127.
Mathematical Reviews (MathSciNet): MR1678573
Digital Object Identifier: doi:10.1111/1467-9892.00127
Zygmund, A. (1977). Trigonometric Series. Cambridge Univ. Press.
Mathematical Reviews (MathSciNet): MR617944

2013 © Institute of Mathematical Statistics

The Annals of Statistics

The Annals of Statistics

Turn MathJax Off
What is MathJax?