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Well-Being and Ill-Being: A Bivariate Panel Data Analysis

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Author Info
Wang-Sheng Lee () (MIAESR, University of Melbourne)
Umut Oguzoglu () (MIAESR, University of Melbourne and IZA)

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Abstract

The aim of this paper is to estimate in a multivariate context the factors associated with wellbeing and ill-being without making the assumptions that they are opposite ends of the same continuum, and that the factors uniformly affect both well-being and ill-being. Using the first five waves of panel data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey, we jointly model positive and negative well-being in a two-equation dynamic panel data model. We found that while past ill-being had significant effect on current wellbeing there was no support for a reverse relationship (i.e. lagged effect of well-being on current ill-being). In addition, we also found support for asymmetry in how certain factors affect well-being and ill-being. The implication of the findings in this paper for the happiness literature is that for future empirical work, it would perhaps more prudent to begin with the notion that well-being and ill-being are distinct dimensions, that the unobservables that affect well-being and ill-being are correlated, and to specify econometric models that allow for these concepts to be reflected.

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Publisher Info
Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 3108.

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Length: 24 pages
Date of creation: Oct 2007
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Handle: RePEc:iza:izadps:dp3108

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Related research
Keywords: well-being; happiness; ill-being; dynamic panel models; bivariate probit;

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Find related papers by JEL classification:
I31 - Health, Education, and Welfare - - Welfare and Poverty - - - General Welfare
C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data

This paper has been announced in the following NEP Reports:

References listed on IDEAS
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  1. Wang-Sheng Lee & Umut Oguzoglu, 2007. "Income Support and Stigma Effects for Young Australians," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 40(4), pages 369-384, December. [Downloadable!] (restricted)
  2. Alessie, Rob & Stefan Hochguertel & Arthur van Soest, 2002. "Ownership of Stocks and Mutual Funds: A Panel Data Analysis," Royal Economic Society Annual Conference 2002 3, Royal Economic Society. [Downloadable!]
    Other versions:
  3. Headey, Bruce & Wooden, Mark, 2004. "The Effects of Wealth and Income on Subjective Well-Being and Ill-Being," IZA Discussion Papers 1032, Institute for the Study of Labor (IZA). [Downloadable!]
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  4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August. [Downloadable!] (restricted)
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  5. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, March. [Downloadable!]
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  6. Stefan Boes & Rainer Winkelmann, 2006. "The Effect of Income on Positive and Negative Subjective Well-Being," Working Papers 0605, University of Zurich, Socioeconomic Institute. [Downloadable!]
  7. Nicole Watson & Mark Wooden, 2004. "The HILDA Survey Four Years On," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 37(3), pages 343-349, 09. [Downloadable!] (restricted)
  8. Rainer Winkelmann, 2005. "Subjective well-being and the family: Results from an ordered probit model with multiple random effects," Empirical Economics, Springer, vol. 30(3), pages 749-761, October. [Downloadable!] (restricted)
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