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  3. Health Policy and Management / 健康政策與管理研究所
  4. The Effect of Obesity and Wage:Cross-Classified Multilevel Analysis
 
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The Effect of Obesity and Wage:Cross-Classified Multilevel Analysis

Date Issued
2016
Date
2016
Author(s)
Lee, Pei-Hsun
DOI
10.6342/NTU201602181
URI
http://ntur.lib.ntu.edu.tw//handle/246246/274372
Abstract
Background: Obesity has grown into a global health issue and caused the huge burden of health and economic. It can have serious impact on a person’s health and results in the labor market. Entering the labor market is an important phase in one’s career. The employers is difficult to judge based on past experience if someone who did not have any working experience. Therefore, the employers will use other messages to determine how many wages to give. For instance, the first impression, education and so on. In addition to the personal ability, the use of social capital as the way to search job can also cause the wage inequality. Thus, this study aimed to examine the effect of obesity, characteristics of personal education and social capital on wages. Moreover, the structures of wages is different from the regions and industries in Taiwan so that it’s worthy of further discussion whether the wage inequality caused by obesity is different from regions and industries. Methods: The data is mainly based on the Taiwan Education Panel Survey and Taiwan Education Panel Survey and Beyond. We choose the wave 2 of Panel-1 SH which population is from senior/vocational high school and junior college students and the face to face interview follow-up survey of Panel-1 SH to examine the relationship of obesity, characteristics of personal education and social capital on wages. We control gender, wage of the first job, education of father, types of works, weekly working hours, emotion of depression and type of employment in the labor market. We use Cross-Classified Multilevel Analysis to analysis whether the wage inequality caused by obesity is different from regions and industries. Result: According to the results of the first level, a person’s obesity status from 2003 to 2010 was associated with their wage in the age of 25 or 26. People who became or maintained obesity from 2003 to 2010 had lower wages than those who were non-obese in the same period. People who graduated from university had higher wages than those who graduated from senior or vocational high school. Those who graduated from public school also had higher wages than private school. Cross-Classified Multilevel Analysis shows that wages is different from regions and industries. Conclusion: Considering the factors of individual, regional and industries, wages in the age of 25 or 26 are affected by obesity. In addition, the educational level and school type also have influence on wages The difference of wages was determinate by the variables of individual level. The major reason might be the population were predominated by novices works. In this population, the wages of entering the workplace affected by personal factors greatly. We suggested that health and enterprise organizations must develop relevant health promotion programs to reduce obesity rates. Multilevel analysis has a key role to clarify the complex issue and explore the relationship between different levels.
Subjects
Obesity
Wage
Multilevel Analysis
Cross-Classified
SDGs

[SDGs]SDG3

[SDGs]SDG10

Type
thesis
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ntu-105-R03848023-1.pdf

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