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

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  • Ling Zhou
  • Huazhen Lin
  • Yi-Chen Lin

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. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Ling Zhou & Huazhen Lin & Yi-Chen Lin, 2016. "Education, Intelligence, and Well-Being: Evidence from a Semiparametric Latent Variable Transformation Model for Multiple Outcomes of Mixed Types," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(3), pages 1011-1033, February.
    • Handle: RePEc:spr:soinre:v:125:y:2016:i:3:p:1011-1033
    DOI: 10.1007/s11205-015-0865-1
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    1. Blanchflower, David G. & Oswald, Andrew J., 2004. "Well-being over time in Britain and the USA," Journal of Public Economics, Elsevier, vol. 88(7-8), pages 1359-1386, July.
    2. Pedro Carneiro & Costas Meghir & Matthias Parey, 2013. "Maternal Education, Home Environments, And The Development Of Children And Adolescents," Journal of the European Economic Association, European Economic Association, vol. 11, pages 123-160, January.
    3. Carolina Navarro & Luis Ayala & José Labeaga, 2010. "Housing deprivation and health status: evidence from Spain," Empirical Economics, Springer, vol. 38(3), pages 555-582, June.
    4. Becker, Gary S & Tomes, Nigel, 1976. "Child Endowments and the Quantity and Quality of Children," Journal of Political Economy, University of Chicago Press, vol. 84(4), pages 143-162, August.
    5. Andreas Buehn & Mohammad Reza Farzanegan, 2012. "Smuggling around the world: evidence from a structural equation model," Applied Economics, Taylor & Francis Journals, vol. 44(23), pages 3047-3064, August.
    6. Gary S. Becker & H. Gregg Lewis, 1974. "Interaction between Quantity and Quality of Children," NBER Chapters, in: Economics of the Family: Marriage, Children, and Human Capital, pages 81-90, National Bureau of Economic Research, Inc.
    7. Gary S. Becker & Casey B. Mulligan, 1997. "The Endogenous Determination of Time Preference," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(3), pages 729-758.
    8. George Psacharopoulos & Harry Anthony Patrinos, 2004. "Returns to investment in education: a further update," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 111-134.
    9. Krishnakumar, Jaya & Ballon, Paola, 2008. "Estimating Basic Capabilities: A Structural Equation Model Applied to Bolivia," World Development, Elsevier, vol. 36(6), pages 992-1010, June.
    10. Carolina Navarro & Luis Ayala, 2008. "Multidimensional housing deprivation indices with application to Spain," Applied Economics, Taylor & Francis Journals, vol. 40(5), pages 597-611.
    11. Anand, Paul & van Hees, Martin, 2006. "Capabilities and achievements: An empirical study," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(2), pages 268-284, April.
    12. Buehn, Andreas & Farzanegan, Mohammad Reza, 2013. "Hold your breath: A new index of air pollution," Energy Economics, Elsevier, vol. 37(C), pages 104-113.
    13. Udaya Wagle, 2005. "Multidimensional Poverty Measurement with Economic Well-being, Capability, and Social Inclusion: A Case from Kathmandu, Nepal," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 6(3), pages 301-328.
    14. Appels, A. & Bosma, H. & Grabauskas, V. & Gostautas, A. & Sturmans, F., 1996. "Self-rated health and mortality in a Lithuanian and a Dutch population," Social Science & Medicine, Elsevier, vol. 42(5), pages 681-689, March.
    15. Irini Moustaki & Martin Knott, 2000. "Generalized latent trait models," Psychometrika, Springer;The Psychometric Society, vol. 65(3), pages 391-411, September.
    16. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
    17. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    18. Philip Oreopoulos & Kjell G. Salvanes, 2011. "Priceless: The Nonpecuniary Benefits of Schooling," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 159-184, Winter.
    19. Mary Dupuis Sammel & Louise M. Ryan & Julie M. Legler, 1997. "Latent Variable Models for Mixed Discrete and Continuous Outcomes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 59(3), pages 667-678.
    20. Mossey, J.M. & Shapiro, E., 1982. "Self-rated health: a predictor of mortality among the elderly," American Journal of Public Health, American Public Health Association, vol. 72(8), pages 800-808.
    21. Ross, Catherine E. & Mirowsky, John, 2006. "Sex differences in the effect of education on depression: Resource multiplication or resource substitution?," Social Science & Medicine, Elsevier, vol. 63(5), pages 1400-1413, September.
    22. Maria L. Di Tommaso & Martin Raiser & Melvyn Weeks, 2007. "Home Grown or Imported? Initial Conditions, External Anchors and the Determinants of Institutional Reform in the Transition Economies," Economic Journal, Royal Economic Society, vol. 117(520), pages 858-881, April.
    23. Jaya Krishnakumar, 2007. "Going Beyond Functionings to Capabilities: An Econometric Model to Explain and Estimate Capabilities," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 8(1), pages 39-63.
    24. Philippe Huber & Elvezio Ronchetti & Maria‐Pia Victoria‐Feser, 2004. "Estimation of generalized linear latent variable models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(4), pages 893-908, November.
    25. Di Tommaso, Maria Laura, 2007. "Children capabilities: A structural equation model for India," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(3), pages 436-450, June.
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    More about this item

    Keywords

    Well-being; Education; Intelligence; Maternal education; Latent variable model; Semiparametric method; I25; I31;
    All these keywords.

    JEL classification:

    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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