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Article: The use of a hazard-based duration model for imputation of missing personal income data

TitleThe use of a hazard-based duration model for imputation of missing personal income data
Authors
KeywordsData Imputation
Hazard-Based Duration Model
Income Model
Issue Date2009
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0049-4488
Citation
Transportation, 2009, v. 36 n. 5, p. 565-579 How to Cite?
AbstractThis paper suggests using a proportional hazard model to predict personal income, for the purpose of imputing missing income data in household travel surveys. The model has a hazard function that comprises two multiplicative components: (1) a non-parametric baseline hazard function that is dependent only on the income level and (2) a function that is dependent only on the other personal attributes of the survey respondents (excluding income). To estimate and validate the model, data is drawn from a travel characteristics survey conducted in Hong Kong in year 2001. The model is found to have a much higher accuracy when compared with a conventional ordered probit model based on the assumption that the logarithm of income is normally distributed. © Springer Science+Business Media, LLC. 2009.
Persistent Identifierhttp://hdl.handle.net/10722/150503
ISSN
2015 Impact Factor: 1.545
2015 SCImago Journal Rankings: 1.155
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong Research Grant CouncilHKU 7132/03E
717306
Funding Information:

This study is supported by research grants HKU 7132/03E and No. 717306 from the Hong Kong Research Grant Council. The Transport Department of Hong Kong is gratefully acknowledged for providing survey data for model development. Two anonymous referees provided useful comments that resulted in improvements on an earlier draft of the paper.

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorTong, COen_US
dc.contributor.authorLee, JKLen_US
dc.date.accessioned2012-06-26T06:05:15Z-
dc.date.available2012-06-26T06:05:15Z-
dc.date.issued2009en_US
dc.identifier.citationTransportation, 2009, v. 36 n. 5, p. 565-579en_US
dc.identifier.issn0049-4488en_US
dc.identifier.urihttp://hdl.handle.net/10722/150503-
dc.description.abstractThis paper suggests using a proportional hazard model to predict personal income, for the purpose of imputing missing income data in household travel surveys. The model has a hazard function that comprises two multiplicative components: (1) a non-parametric baseline hazard function that is dependent only on the income level and (2) a function that is dependent only on the other personal attributes of the survey respondents (excluding income). To estimate and validate the model, data is drawn from a travel characteristics survey conducted in Hong Kong in year 2001. The model is found to have a much higher accuracy when compared with a conventional ordered probit model based on the assumption that the logarithm of income is normally distributed. © Springer Science+Business Media, LLC. 2009.en_US
dc.languageengen_US
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0049-4488en_US
dc.relation.ispartofTransportationen_US
dc.subjectData Imputationen_US
dc.subjectHazard-Based Duration Modelen_US
dc.subjectIncome Modelen_US
dc.titleThe use of a hazard-based duration model for imputation of missing personal income dataen_US
dc.typeArticleen_US
dc.identifier.emailTong, CO: cotong@hku.hken_US
dc.identifier.authorityTong, CO=rp00178en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s11116-009-9213-0en_US
dc.identifier.scopuseid_2-s2.0-67849099253en_US
dc.identifier.hkuros161133-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-67849099253&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume36en_US
dc.identifier.issue5en_US
dc.identifier.spage565en_US
dc.identifier.epage579en_US
dc.identifier.isiWOS:000268257200005-
dc.publisher.placeUnited Statesen_US
dc.relation.projectA planning tool for multi-modal transportation systems-
dc.identifier.scopusauthoridTong, CO=7202715087en_US
dc.identifier.scopusauthoridLee, JKL=35205829300en_US
dc.identifier.citeulike4403649-

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