The averaged periodogram estimator for a power law in coherency

Journal of Time Series Analysis - Tập 33 Số 2 - Trang 340-363 - 2012
Rebecca J. Sela1, Clifford M. Hurvich2
1J.P. Morgan Chase & Co.
2New York University

Tóm tắt

We prove the consistency of the averaged periodogram estimator (APE) in two new cases. First, we prove that the APE is consistent for negative memory parameters, after suitable tapering. Second, we prove that the APE is consistent for a power law in the cross‐spectrum and therefore for a power law in the coherency, provided that sufficiently many frequencies are used in estimation. Simulation evidence suggests that the lower bound on the number of frequencies is a necessary condition for consistency. For a Taylor series approximation to the estimator of the power law in the cross‐spectrum, we consider the rate of convergence and obtain a central limit theorem under suitable regularity conditions.

Từ khóa


Tài liệu tham khảo

Brillinger D. R., 1981, Time Series: Data Analysis and Theory

10.1214/009053606000000894

10.1111/j.1467-9892.1983.tb00371.x

10.1002/9780470316429

10.1017/S0266466600007155

10.1111/1467-9892.00179

10.1016/S0304-4149(01)00136-3

10.1111/j.1468-0262.2005.00616.x

Kunsch H. R., 1987, Proceedings of the First World Congress of the Bernoulli Society 1, 67

10.1111/1467-9892.00043

10.1016/S0304-4076(98)00038-4

10.1016/0304-4076(95)01742-9

R Development Core Team, 2008, R: A Language and Environment for Statistical Computing

10.1214/aos/1176325382

10.1214/aos/1176324636

10.1214/aos/1176324317

10.1214/07-AOS545

Sela R. J.(2010)Three essays in econometrics: multivariate long memory time series and applying regression trees to longitudinal data: Doctoral Dissertation New York University Stern School of Business.http://pages.stern.nyu.edu/~rsela/DissertationSummary.pdf.

10.1111/j.1467-9892.2009.00631.x

10.1016/j.jeconom.2006.01.003

10.1016/S0304-4076(98)00080-3