Consistent Model Selection by an Automatic "Gets" Approach.

<p>We establish the consistency of the selection procedures embodied in <em>PcGets</em>, and compare their performance with other model selection criteria in linear regressions. The significance levels embedded in the <em>PcGets</em> Liberal and Conservative algorithms...

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Main Authors: Campos, J, Hendry, D, Krolzig, H
Format: Journal article
Language:English
Published: Blackwell Publishing Ltd 2003
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author Campos, J
Hendry, D
Krolzig, H
author_facet Campos, J
Hendry, D
Krolzig, H
author_sort Campos, J
collection OXFORD
description <p>We establish the consistency of the selection procedures embodied in <em>PcGets</em>, and compare their performance with other model selection criteria in linear regressions. The significance levels embedded in the <em>PcGets</em> Liberal and Conservative algorithms coincide in very large samples with those implicit in the Hannan-Quinn (HQ) and Schwarz information criteria (SIC) respectively. Thus, both <em>PcGets</em> rules are consistent under the same conditions as HQ and SIC. However, <em>PcGets</em> has rather different finite-sample behaviour. Pre-selecting to remove many of the candidate variables is confirmed as enhancing the performance of SIC.</p>
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spelling oxford-uuid:8b2af3cd-2b4a-4fc0-b505-09c3d16c370c2022-03-26T22:36:22ZConsistent Model Selection by an Automatic "Gets" Approach.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8b2af3cd-2b4a-4fc0-b505-09c3d16c370cEnglishDepartment of Economics - ePrintsBlackwell Publishing Ltd2003Campos, JHendry, DKrolzig, H<p>We establish the consistency of the selection procedures embodied in <em>PcGets</em>, and compare their performance with other model selection criteria in linear regressions. The significance levels embedded in the <em>PcGets</em> Liberal and Conservative algorithms coincide in very large samples with those implicit in the Hannan-Quinn (HQ) and Schwarz information criteria (SIC) respectively. Thus, both <em>PcGets</em> rules are consistent under the same conditions as HQ and SIC. However, <em>PcGets</em> has rather different finite-sample behaviour. Pre-selecting to remove many of the candidate variables is confirmed as enhancing the performance of SIC.</p>
spellingShingle Campos, J
Hendry, D
Krolzig, H
Consistent Model Selection by an Automatic "Gets" Approach.
title Consistent Model Selection by an Automatic "Gets" Approach.
title_full Consistent Model Selection by an Automatic "Gets" Approach.
title_fullStr Consistent Model Selection by an Automatic "Gets" Approach.
title_full_unstemmed Consistent Model Selection by an Automatic "Gets" Approach.
title_short Consistent Model Selection by an Automatic "Gets" Approach.
title_sort consistent model selection by an automatic gets approach
work_keys_str_mv AT camposj consistentmodelselectionbyanautomaticgetsapproach
AT hendryd consistentmodelselectionbyanautomaticgetsapproach
AT krolzigh consistentmodelselectionbyanautomaticgetsapproach