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New methods for the analysis of long‐memory time‐series: Application to Spanish inflation

Journal of ForecastingPublished 1 March 1994Open access
Miguel A. Delgado, Peter M. Robinson
Citations57
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Abstract

Abstract Models for long‐memorya time series are considered in which the autocovariance sequence is parameterized only at very long lags or the spectral density is parameterized only at very low frequencies. reently proposed methods for estimating the differencing parameters are reviewed and are applied to an economic time series of sprices of Spain.

Keywords

Economics, Econometrics and Finance