LOSE WEIGHT FOR A RAISE ONLY IF OVERWEIGHT: MARGINAL INTEGRATION FOR SEMI-LINEAR PANEL MODELS
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kan, Kamhon | - |
dc.contributor.author | Lee, Myoung-Jae | - |
dc.date.accessioned | 2021-09-06T19:24:03Z | - |
dc.date.available | 2021-09-06T19:24:03Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2012-06 | - |
dc.identifier.issn | 0883-7252 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/108333 | - |
dc.description.abstract | Some studies have shown that body mass index (BMI), weight (kg)/height (m)(2), has a negative (or no) effect on wage. But BMI representing obesity is a tightly specified function of weight and height, and there is a room for weight given height (i.e. obesity given height) to better explain wage when the tight specification gets relaxed. In this paper, we address the question of weight effect on wage given height, employing two-wave panel data for white females and adopting a semi-linear model consisting of a nonparametric function of weight and height and a linear function of the other regressors. We find that there is no weight effect on wage up to the average weight, beyond which a large negative effect kicks in. Linear BMI models give the incorrect impression of the presence of a 'wage gain' by becoming slimmer than the average and of a 'wage loss' that is less than what it actually is when going above the average. Copyright (C) 2010 John Wiley & Sons, Ltd. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.subject | BODY-MASS INDEX | - |
dc.subject | SEMIPARAMETRIC ESTIMATION | - |
dc.subject | US ADULTS | - |
dc.subject | OBESITY | - |
dc.subject | BMI | - |
dc.subject | CONSEQUENCES | - |
dc.subject | ADOLESCENCE | - |
dc.subject | PREVALENCE | - |
dc.subject | MORTALITY | - |
dc.subject | SELECTION | - |
dc.title | LOSE WEIGHT FOR A RAISE ONLY IF OVERWEIGHT: MARGINAL INTEGRATION FOR SEMI-LINEAR PANEL MODELS | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Myoung-Jae | - |
dc.identifier.doi | 10.1002/jae.1209 | - |
dc.identifier.scopusid | 2-s2.0-84868593539 | - |
dc.identifier.wosid | 000306477600007 | - |
dc.identifier.bibliographicCitation | JOURNAL OF APPLIED ECONOMETRICS, v.27, no.4, pp.666 - 685 | - |
dc.relation.isPartOf | JOURNAL OF APPLIED ECONOMETRICS | - |
dc.citation.title | JOURNAL OF APPLIED ECONOMETRICS | - |
dc.citation.volume | 27 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 666 | - |
dc.citation.endPage | 685 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Business & Economics | - |
dc.relation.journalResearchArea | Mathematical Methods In Social Sciences | - |
dc.relation.journalWebOfScienceCategory | Economics | - |
dc.relation.journalWebOfScienceCategory | Social Sciences, Mathematical Methods | - |
dc.subject.keywordPlus | BODY-MASS INDEX | - |
dc.subject.keywordPlus | SEMIPARAMETRIC ESTIMATION | - |
dc.subject.keywordPlus | US ADULTS | - |
dc.subject.keywordPlus | OBESITY | - |
dc.subject.keywordPlus | BMI | - |
dc.subject.keywordPlus | CONSEQUENCES | - |
dc.subject.keywordPlus | ADOLESCENCE | - |
dc.subject.keywordPlus | PREVALENCE | - |
dc.subject.keywordPlus | MORTALITY | - |
dc.subject.keywordPlus | SELECTION | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.