Model discovery and Trygve Haavelmo's legacy

Trygve Haavelmo's Probability Approach aimed to implement economic theories, but he later recognized their incompleteness. Although he did not explicitly consider model selection, we apply it when theory-relevant variables, {X }, are retained without selection while selecting other candidate va...

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Main Authors: Hendry, DF, Johansen, S
Format: Journal article
Language:English
Published: Cambridge University Press 2014
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author Hendry, DF
Johansen, S
author_facet Hendry, DF
Johansen, S
author_sort Hendry, DF
collection OXFORD
description Trygve Haavelmo's Probability Approach aimed to implement economic theories, but he later recognized their incompleteness. Although he did not explicitly consider model selection, we apply it when theory-relevant variables, {X }, are retained without selection while selecting other candidate variables, {W }. Under the null that the {W } are irrelevant, by orthogonalizing with respect to the {X }, the estimator distributions of the X 's parameters are unaffected by selection even for more variables than observations and for endogenous variables. Under the alternative, when the joint model nests the generating process, an improved outcome results from selection. This implements Haavelmo's program relatively costlessly. t t t t t
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spelling oxford-uuid:b481b8a4-46b7-4a3d-9b63-d893e736899f2022-03-27T04:26:37ZModel discovery and Trygve Haavelmo's legacyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b481b8a4-46b7-4a3d-9b63-d893e736899fEnglishSymplectic ElementsCambridge University Press2014Hendry, DFJohansen, STrygve Haavelmo's Probability Approach aimed to implement economic theories, but he later recognized their incompleteness. Although he did not explicitly consider model selection, we apply it when theory-relevant variables, {X }, are retained without selection while selecting other candidate variables, {W }. Under the null that the {W } are irrelevant, by orthogonalizing with respect to the {X }, the estimator distributions of the X 's parameters are unaffected by selection even for more variables than observations and for endogenous variables. Under the alternative, when the joint model nests the generating process, an improved outcome results from selection. This implements Haavelmo's program relatively costlessly. t t t t t
spellingShingle Hendry, DF
Johansen, S
Model discovery and Trygve Haavelmo's legacy
title Model discovery and Trygve Haavelmo's legacy
title_full Model discovery and Trygve Haavelmo's legacy
title_fullStr Model discovery and Trygve Haavelmo's legacy
title_full_unstemmed Model discovery and Trygve Haavelmo's legacy
title_short Model discovery and Trygve Haavelmo's legacy
title_sort model discovery and trygve haavelmo s legacy
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