
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,{1/4}) limit distribution for all values of d if the optimization covers an interval of width less than {9/2} and the initial value of the process is known.
Published at http://dx.doi.org/10.1214/009053605000000309 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
HB Economic Theory, Whittle likelihood, 330, discrete Fourier transform, Asymptotic distribution theory in statistics, semiparametric estimation, Computational problems in statistics, long memory, nonstationarity, Mathematics - Statistics Theory, Statistics Theory (math.ST), Discrete Fourier transform, Time series, auto-correlation, regression, etc. in statistics (GARCH), 62M10. (Primary), Discrete Fourier transform, Fractional integration, Long memory, Nonstationarity, Semiparametric estimation, Whittle likelihood, FOS: Mathematics, 62M10, fractional integration, jel: jel:C22
HB Economic Theory, Whittle likelihood, 330, discrete Fourier transform, Asymptotic distribution theory in statistics, semiparametric estimation, Computational problems in statistics, long memory, nonstationarity, Mathematics - Statistics Theory, Statistics Theory (math.ST), Discrete Fourier transform, Time series, auto-correlation, regression, etc. in statistics (GARCH), 62M10. (Primary), Discrete Fourier transform, Fractional integration, Long memory, Nonstationarity, Semiparametric estimation, Whittle likelihood, FOS: Mathematics, 62M10, fractional integration, jel: jel:C22
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