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Interrelated Dynamics of Health and Poverty in Australia

Author

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  • Buddelmeyer, Hielke

    (Melbourne Institute of Applied Economic and Social Research)

  • Cai, Lixin

    (NILS, Flinders University)

Abstract

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.

Suggested Citation

  • Buddelmeyer, Hielke & Cai, Lixin, 2009. "Interrelated Dynamics of Health and Poverty in Australia," IZA Discussion Papers 4602, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp4602
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    Cited by:

    1. Clarke, Philip & Erreygers, Guido, 2020. "Defining and measuring health poverty," Social Science & Medicine, Elsevier, vol. 244(C).
    2. Deborah J Schofield & Emily J Callander & Rupendra N Shrestha & Megan E Passey & Richard Percival & Simon J Kelly, 2013. "Multiple Chronic Health Conditions and Their Link with Labour Force Participation and Economic Status," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    3. Gunasekara, Fiona Imlach & Carter, Kristie & Blakely, Tony, 2011. "Change in income and change in self-rated health: Systematic review of studies using repeated measures to control for confounding bias," Social Science & Medicine, Elsevier, vol. 72(2), pages 193-201, January.
    4. Callander, Emily Joy & Schofield, Deborah J. & Shrestha, Rupendra N., 2011. "Multi-dimensional poverty in Australia and the barriers ill health imposes on the employment of the disadvantaged," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(6), pages 736-742.
    5. Larysa Krasnikova & Olena Osinkina & Tamara Podvysotskaya & Yuriy Podvysotskiy, 2011. "Does health Matter for Inequality in Transition Countries: The Case of Ukraine," wiiw Balkan Observatory Working Papers 90, The Vienna Institute for International Economic Studies, wiiw.
    6. Miguel Sanchez-Martinez & Philip Davis, 2014. "A review of the economic theories of poverty," National Institute of Economic and Social Research (NIESR) Discussion Papers 435, National Institute of Economic and Social Research.
    7. Fiona Imlach Gunasekara & Kristie Carter & Peter Crampton & Tony Blakely, 2013. "Income and individual deprivation as predictors of health over time," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 501-511, August.
    8. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2017. "Evaluating the role of income, state dependence and individual specific heterogeneity in the determination of subjective health assessments," Economics & Human Biology, Elsevier, vol. 25(C), pages 85-98.
    9. Tran, Tuyen Quang & Thi Nguyen, Hoai Thu & Hoang, Quang Ngoc & Van Nguyen, Dinh, 2022. "The influence of contextual and household factors on multidimensional poverty in rural Vietnam: A multilevel regression analysis," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 390-403.
    10. Ayllón, Sara & Fusco, Alessio, 2017. "Are income poverty and perceptions of financial difficulties dynamically interrelated?," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 103-114.
    11. Emily J. Callander & Deborah J. Schofield, 2015. "Multidimensional Poverty and Health Status as a Predictor of Chronic Income Poverty," Health Economics, John Wiley & Sons, Ltd., vol. 24(12), pages 1638-1643, December.
    12. Pascual-Sáez, Marta & Cantarero-Prieto, David & Lanza-León, Paloma, 2019. "The dynamics of health poverty in Spain during the economic crisis (2008–2016)," Health Policy, Elsevier, vol. 123(10), pages 1011-1018.
    13. Sarah E. Johnson & David Lawrence & Francisco Perales & Janeen Baxter & Stephen R. Zubrick, 2019. "Poverty, Parental Mental Health and Child/Adolescent Mental Disorders: Findings from a National Australian Survey," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 12(3), pages 963-988, June.
    14. Au, Nicole & Johnston, David W., 2014. "Self-assessed health: What does it mean and what does it hide?," Social Science & Medicine, Elsevier, vol. 121(C), pages 21-28.

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    More about this item

    Keywords

    socio-economic status; poverty; health; recursive models; panel data;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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