Lose weight for a raise only if overweight: Marginal integration for semi-linear panel models

NCUIR > School of Management at National Central University > Graduate Institute of Industrial Economics > journal & Dissertation > Item 987654321/105695

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105695

Title:	Lose weight for a raise only if overweight: Marginal integration for semi-linear panel models
Authors:	簡錦漢;Kan, Kamhon;Lee, Myoung-Jae
Contributors:	管理學院產業經濟研究所
Keywords:	Averages;Body height;Body mass index;Body weight;Compensation;Confidence interval;Data models;Economic models;Economic theory;Employees;Estimators;Experimental methods;Function;Least squares;Linear analysis;Linear models;Nonparametric models;Obesity;Overweight;Panel data;Regression analysis;Specification;Studies;Wages & salaries;Weight control;Weight loss
Date:	2012-06-01
Issue Date:	2026-04-23 12:47:58 (UTC+8)
Publisher:	John Wiley and Sons Ltd;Chichester, UK: John Wiley & Sons, Ltd
Abstract:	摘要： 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. 其他題名： J. Appl. Econ 出版者： Chichester, UK: John Wiley & Sons, Ltd 出版日期： 2012-06 出處： Journal of applied econometrics (Chichester, England), 2012-06, Vol.27 (4), p.666-685 資源來源： JSTOR Arts and Sciences I 版權： Copyright © 2012 John Wiley & Sons Ltd. 版權： Copyright © 2010 John Wiley & Sons, Ltd. 版權： Copyright Wiley Periodicals Inc. Jun/Jul 2012 識別號： ISSN: 0883-7252 識別號： EISSN: 1099-1255 識別號： DOI: 10.1002/jae.1209 識別號： CODEN: JAECET
Appears in Collections:	[Graduate Institute of Industrial Economics] journal & Dissertation

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