Education, Intelligence, and Well-Being: Evidence from a Semiparametric Latent Variable Transformation Model for Multiple Outcomes of Mixed Types
學年 104
學期 2
出版（發表）日期 2016-02-15
作品名稱 Education, Intelligence, and Well-Being: Evidence from a Semiparametric Latent Variable Transformation Model for Multiple Outcomes of Mixed Types
作品名稱（其他語言）
著者 Ling Zhou; Huazhen Lin; Yi-Chen Lin
單位 淡江大學經濟學系
出版者 Dordrecht: Springer Netherlands
著錄名稱、卷期、頁數 Social Indicators Research 125(3), p.1011-1033
摘要 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.
關鍵字 Well-being; Education; Intelligence; Maternal education; Latent variable model; Semiparametric method
語言 en
ISSN 0303-8300;1573-0921
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者 Lin,Yi-Chen
審稿制度 否
國別 NLD
公開徵稿
出版型式 ,電子版,紙本
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/101071 )

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