Education, Intelligence, and Well-Being: Evidence from a Semiparametric Latent Variable Transformation Model for Multiple Outcomes of Mixed Types

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• 作者：Ling Zhou ; Huazhen Lin ; Yi-Chen Lin
• 关键词：Well ; being ; Education ; Intelligence ; Maternal education ; Latent variable model ; Semiparametric method ; I25 ; I31
• 刊名：Social Indicators Research
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：125
• 期：3
• 页码：1011-1033
• 全文大小：845 KB
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• 作者单位：Ling Zhou (1)
  Huazhen Lin (1)
  Yi-Chen Lin (2)
  
  1. School of Statistics, Southwestern University of Finance and Economics, Chengdu, 611130, Sichuan, China
  2. Department of Economics, Tamkang University, 151 Yingzhuan Rd., Tamsui District, New Taipei City, 25137, Taiwan
  
• 刊物类别：Humanities, Social Sciences and Law
• 刊物主题：Social Sciences
  Sociology
  Quality of Life Research
  Microeconomics
  Public Health
  Human Geography
  
• 出版者：Springer Netherlands
• ISSN：1573-0921

文摘

This paper uses a semiparametric latent variable transformation model for multiple outcomes to examine the effect of education and maternal education on female multidimensional well-being and proposes a procedure to build a well-being index that is less susceptible to functional form misspecification. We model multidimensional well-being as an unobserved common factor underlying the observed well-being outcomes. The semiparametric methodology allows us to alleviate misspecification bias by combining multiple indicators into a latent construct in an unspecified, data-driven way. Using data from female participants of the 1974–2010 waves of the US General Social Survey, we find that education, intelligence, and maternal education contribute positively to multidimensional well-being. However, the effects of education and maternal education on female multidimensional well-being declined steadily between the mid-1970s and the 1990s, and have not rebounded since. Keywords Well-being Education Intelligence Maternal education Latent variable model Semiparametric method