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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/101071


    Title: Education, Intelligence, and Well-Being: Evidence from a Semiparametric Latent Variable Transformation Model for Multiple Outcomes of Mixed Types
    Authors: Ling Zhou;Lin,Huazhen;Lin,Yi-Chen
    Contributors: 淡江大學經濟學系
    Keywords: Well-being;Education;Intelligence;Maternal education;Latent variable model;Semiparametric method
    Date: 2016-02
    Issue Date: 2015-04-01 11:53:01 (UTC+8)
    Publisher: Springer Netherlands
    Abstract: 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.
    Relation: Social Indicators Research 125(3), pp.1011-1033
    DOI: 10.1007/s11205-015-0865-1
    Appears in Collections:[經濟學系暨研究所] 期刊論文

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