Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching

This paper examines the finite-sample properties of the maximum likelihood estimator in autoregressive models subject to Markov mean and variance shifts. Our results reveal that conventional asymptotic approximations to the distribution of the maximum likelihood estimator can often be poor for the s...

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Publicado: 1998
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03044076_v86_n2_p369_Psaradakis
http://hdl.handle.net/20.500.12110/paper_03044076_v86_n2_p369_Psaradakis
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id paper:paper_03044076_v86_n2_p369_Psaradakis
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spelling paper:paper_03044076_v86_n2_p369_Psaradakis2023-06-08T15:29:47Z Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching Finite-sample distribution Markov-switching model Maximum likelihood estimator Regime shifts This paper examines the finite-sample properties of the maximum likelihood estimator in autoregressive models subject to Markov mean and variance shifts. Our results reveal that conventional asymptotic approximations to the distribution of the maximum likelihood estimator can often be poor for the sample sizes that are typical for annual and quarterly times series. © 1998 Elsevier Science S.A. All rights reserved. 1998 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03044076_v86_n2_p369_Psaradakis http://hdl.handle.net/20.500.12110/paper_03044076_v86_n2_p369_Psaradakis
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Finite-sample distribution
Markov-switching model
Maximum likelihood estimator
Regime shifts
spellingShingle Finite-sample distribution
Markov-switching model
Maximum likelihood estimator
Regime shifts
Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching
topic_facet Finite-sample distribution
Markov-switching model
Maximum likelihood estimator
Regime shifts
description This paper examines the finite-sample properties of the maximum likelihood estimator in autoregressive models subject to Markov mean and variance shifts. Our results reveal that conventional asymptotic approximations to the distribution of the maximum likelihood estimator can often be poor for the sample sizes that are typical for annual and quarterly times series. © 1998 Elsevier Science S.A. All rights reserved.
title Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching
title_short Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching
title_full Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching
title_fullStr Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching
title_full_unstemmed Finite-sample properties of the maximum likelihood estimator in autoregressive models with Markov switching
title_sort finite-sample properties of the maximum likelihood estimator in autoregressive models with markov switching
publishDate 1998
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03044076_v86_n2_p369_Psaradakis
http://hdl.handle.net/20.500.12110/paper_03044076_v86_n2_p369_Psaradakis
_version_ 1768546349263880192