Interrelated dynamics of health and poverty in Australia

Research, Preprint English OPEN
Buddelmeyer, Hielke ; Cai, Lixin (2009)
  • Publisher: Institute for the Study of Labor (IZA) Bonn
  • Subject: recursive models | C35 | panel data | Sozialer Status | I32 | health | I12 | Australien | Gesundheit | Socio-economic status | Armut | socio-economic status, poverty, health, recursive models, panel data | poverty | Schätzung
    • jel: jel:I32 | jel:C35 | jel:I12
      ddc: ddc:330

Using the Household, Income and Labour Dynamics in Australia (HILDA) Survey, this study examines the joint dynamics of health and poverty in Australian families. Taking advantage of panel data, the modelling approach used in this study allows a better estimation of the causal relationship between health and poverty. The results indicate that the causality between health and poverty runs both ways and the relationship is confounded by unobserved heterogeneity. In particular, it is found that families headed by a person in ill-health are more likely to be in poverty compared with families headed by a person with good health. On the other hand, a family head whose family is in poverty in the current year is more likely to be in ill-health in the next year compared with a family head whose family is not in poverty. In addition, there is evidence that health and poverty are affected by correlated unobservables, causing health to be endogenous to poverty even in the absence of a reverse effect from poverty on health. Consequently, treating health as exogenous in a poverty equation would produce biased estimates.
  • References (7)

    Adams, P., Hurd, M.D., McFadden, D., Merrill, A. and Ribeiro, T. (2003) “Healthy, Weathy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status”, Journal of Econometrics, Vol. 112, p3-56.

    ---- (2004) “Unraveling the SES Health Connection”, The Institute for Fiscal Studies Working Paper 04/02.

    Stronks, K., Van de Mheen, H., Looman, C. W. N. and Mackenbach, J. P. (1996) “Behavioral and structural factors in the explanation of socio-economic inequalities in health: An empirical analysis”, Sociology of Health and Illness, Vol. 18, p653-674.

    Stern, S. (1989) "Measuring the Effect of Disability on Labour Force Participation", Journal of Human Resources, Vol. 24, p361-395.

    Ware, J., Snow, K., Kosinski, M. and Gandek, B. (2000). SF-36 Health Survey: Manual and Interpretation Guide, Lincoln, RI, Quality Metric Incorporated.

    Wilkinson R. and Marmot M. (1998) Social Determinants of Health: The Solid Facts. Copenhagen: World Health Organization (www.who.dk/healthy-cities).

    Wooden, M. Freidin, S., and Watson, N. (2002) “The Household, Income and Labour Dynamics in Australia (HILDA) Survey: Wave 1”, Australian Economic Review Vol.35(3), p339-348.

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