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Journal of Economic Theory and Econometrics
Journal of the Korean Econometric Society
Log Periodogram Estimation with Nonstationary Process
Vol.19, No.3, September 2008, 1–23
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Chang Sik Kim
(School of Economics, Sungkyunkwan University)
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Abstract
This paper studies a new semiparametric estimation procedure of the memory parameter ($d$) in models of fractional integration. The procedure is called modified log periodogram regression and it is especially useful for nonstationary time series where $d\geq 1/2$. The modified estimator is shown to be consistent and asymptotically normally distributed with variance $\pi^2/24$ under mild regularity conditions. Simulations reveal that the estimator performs well for all $d\geq 1/2$.
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Keywords
Discrete Fourier transform, fractional Brownian motion, fractional integration, log periodogram regression, long memory, nonstationarity, semiparametric estimation |
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