Semi-parametric models for satisfaction with income

Detalhes bibliográficos
Autor(a) principal: Bellemare, Charles
Data de Publicação: 2002
Outros Autores: Melenberg, Bertrand, Soest, Arthur van
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/15457
Resumo: An overview is presented of some parametric and semi-parametric models, estimators, and specification tests that can be used to analyze ordered response variables. In particular, limited dependent variable models that general- ize ordered probit are compared to regression models that generalize the linear model. These techniques are then applied to analyze how self-reported satisfac- tion with household income relates to household income, family composition, and other background variables. Data are drawn from the 1998 wave of the German Socio-Economic Panel. The results are used to estimate equivalence scales and the cost of children. We find that the standard ordered probit model is rejected, while some semi-parametric specifications survive specification tests against nonpara- metric alternatives. The estimated equivalence scales, however, are often similar for the parametric and semi-parametric specifications.
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spelling Semi-parametric models for satisfaction with incomeSemi-parametric estimationOrdered responseEquivalence scalesAn overview is presented of some parametric and semi-parametric models, estimators, and specification tests that can be used to analyze ordered response variables. In particular, limited dependent variable models that general- ize ordered probit are compared to regression models that generalize the linear model. These techniques are then applied to analyze how self-reported satisfac- tion with household income relates to household income, family composition, and other background variables. Data are drawn from the 1998 wave of the German Socio-Economic Panel. The results are used to estimate equivalence scales and the cost of children. We find that the standard ordered probit model is rejected, while some semi-parametric specifications survive specification tests against nonpara- metric alternatives. The estimated equivalence scales, however, are often similar for the parametric and semi-parametric specifications.Springer VerlagRepositório da Universidade de LisboaBellemare, CharlesMelenberg, BertrandSoest, Arthur van2018-05-23T08:51:41Z2002-082002-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/15457engBellemare, Charles, Bertrand Melenberg e Arthur van Soest (2002). "Semi-parametric models for satisfaction with income". Portuguese Economic Journal, 1(2):181-2031617-982X (print)10.1007/s10258-002-0006-zmetadata only accessinfo: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:RCAAP2023-03-06T14:45:25Zoai:www.repository.utl.pt:10400.5/15457Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:01:06.766740Repositório 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 Semi-parametric models for satisfaction with income
title Semi-parametric models for satisfaction with income
spellingShingle Semi-parametric models for satisfaction with income
Bellemare, Charles
Semi-parametric estimation
Ordered response
Equivalence scales
title_short Semi-parametric models for satisfaction with income
title_full Semi-parametric models for satisfaction with income
title_fullStr Semi-parametric models for satisfaction with income
title_full_unstemmed Semi-parametric models for satisfaction with income
title_sort Semi-parametric models for satisfaction with income
author Bellemare, Charles
author_facet Bellemare, Charles
Melenberg, Bertrand
Soest, Arthur van
author_role author
author2 Melenberg, Bertrand
Soest, Arthur van
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Bellemare, Charles
Melenberg, Bertrand
Soest, Arthur van
dc.subject.por.fl_str_mv Semi-parametric estimation
Ordered response
Equivalence scales
topic Semi-parametric estimation
Ordered response
Equivalence scales
description An overview is presented of some parametric and semi-parametric models, estimators, and specification tests that can be used to analyze ordered response variables. In particular, limited dependent variable models that general- ize ordered probit are compared to regression models that generalize the linear model. These techniques are then applied to analyze how self-reported satisfac- tion with household income relates to household income, family composition, and other background variables. Data are drawn from the 1998 wave of the German Socio-Economic Panel. The results are used to estimate equivalence scales and the cost of children. We find that the standard ordered probit model is rejected, while some semi-parametric specifications survive specification tests against nonpara- metric alternatives. The estimated equivalence scales, however, are often similar for the parametric and semi-parametric specifications.
publishDate 2002
dc.date.none.fl_str_mv 2002-08
2002-08-01T00:00:00Z
2018-05-23T08:51:41Z
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/10400.5/15457
url http://hdl.handle.net/10400.5/15457
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Bellemare, Charles, Bertrand Melenberg e Arthur van Soest (2002). "Semi-parametric models for satisfaction with income". Portuguese Economic Journal, 1(2):181-203
1617-982X (print)
10.1007/s10258-002-0006-z
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dc.publisher.none.fl_str_mv Springer Verlag
publisher.none.fl_str_mv Springer Verlag
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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