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Model order selection in periodic long memory models

Christian Leschinski and Philipp Sibbertsen ()

Econometrics and Statistics, 2019, vol. 9, issue C, 78-94

Abstract: An automatic model order selection procedure for k-factor Gegenbauer processes is proposed. The procedure is based on sequential tests of the maximum of the periodogram and semiparametric estimators of the model parameters. As a byproduct, a generalized version of Walker’s large sample g-test is introduced that allows to test for persistent periodicity in stationary short memory processes. Simulation studies show that the model order selection procedure performs well in identifying the correct order under various circumstances. An application to Californian electricity load data illustrates its value in empirical analyses and allows new insights into the periodicity of this process that has been the subject of several studies.

Keywords: Seasonal long memory; k-factor Gegenbauer processes; Model selection; Electricity loads (search for similar items in EconPapers)
Date: 2019
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