GME versus OLS - Which is the best to estimate utility functions?
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/6082 |
Resumo: | This paper estimates von Neumann and Morgenstern utility functions comparing the generalized maximum entropy (GME) with OLS, using data obtained by utility elici-tation methods. Thus, it provides a comparison of the performance of the two esti-mators in a real data small sample setup. The results confirm the ones obtained for small samples through Monte Carlo simulations. Overall the results suggest that GME is an interesting alternative to OLS in the estimation of utility functions when data is generated by utility elicitation methods. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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GME versus OLS - Which is the best to estimate utility functions?GMEUtility functionsOLSThis paper estimates von Neumann and Morgenstern utility functions comparing the generalized maximum entropy (GME) with OLS, using data obtained by utility elici-tation methods. Thus, it provides a comparison of the performance of the two esti-mators in a real data small sample setup. The results confirm the ones obtained for small samples through Monte Carlo simulations. Overall the results suggest that GME is an interesting alternative to OLS in the estimation of utility functions when data is generated by utility elicitation methods.Universidade de Évora2012-11-28T12:40:13Z2012-11-282010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/6082http://hdl.handle.net/10174/6082porPires, C., Dionísio, A., Coelho, L. (2010) GME versus OLS - Which is the best to estimate utility functions?, II Workshop Perspectives on Econophysics, Proceedings of the Workshop Perspectives on Econophysics II, Universidade de Évora, Novembro de 2010.M-47478-2010cpires@uevora.ptandreia@uevora.ptlcoelho@uevora.pt637Pires, CesaltinaDionísio, AndreiaCoelho, Luísinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:45:28Zoai:dspace.uevora.pt:10174/6082Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:01:01.457187Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
GME versus OLS - Which is the best to estimate utility functions? |
title |
GME versus OLS - Which is the best to estimate utility functions? |
spellingShingle |
GME versus OLS - Which is the best to estimate utility functions? Pires, Cesaltina GME Utility functions OLS |
title_short |
GME versus OLS - Which is the best to estimate utility functions? |
title_full |
GME versus OLS - Which is the best to estimate utility functions? |
title_fullStr |
GME versus OLS - Which is the best to estimate utility functions? |
title_full_unstemmed |
GME versus OLS - Which is the best to estimate utility functions? |
title_sort |
GME versus OLS - Which is the best to estimate utility functions? |
author |
Pires, Cesaltina |
author_facet |
Pires, Cesaltina Dionísio, Andreia Coelho, Luís |
author_role |
author |
author2 |
Dionísio, Andreia Coelho, Luís |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Pires, Cesaltina Dionísio, Andreia Coelho, Luís |
dc.subject.por.fl_str_mv |
GME Utility functions OLS |
topic |
GME Utility functions OLS |
description |
This paper estimates von Neumann and Morgenstern utility functions comparing the generalized maximum entropy (GME) with OLS, using data obtained by utility elici-tation methods. Thus, it provides a comparison of the performance of the two esti-mators in a real data small sample setup. The results confirm the ones obtained for small samples through Monte Carlo simulations. Overall the results suggest that GME is an interesting alternative to OLS in the estimation of utility functions when data is generated by utility elicitation methods. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-01-01T00:00:00Z 2012-11-28T12:40:13Z 2012-11-28 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/6082 http://hdl.handle.net/10174/6082 |
url |
http://hdl.handle.net/10174/6082 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Pires, C., Dionísio, A., Coelho, L. (2010) GME versus OLS - Which is the best to estimate utility functions?, II Workshop Perspectives on Econophysics, Proceedings of the Workshop Perspectives on Econophysics II, Universidade de Évora, Novembro de 2010. M-47478-2010 cpires@uevora.pt andreia@uevora.pt lcoelho@uevora.pt 637 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade de Évora |
publisher.none.fl_str_mv |
Universidade de Évora |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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