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Multidimensional Poverty and Health Status as a Predictor of Chronic Income Poverty

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  • Emily J. Callander
  • Deborah J. Schofield

Abstract

Longitudinal analysis of Wave 5 to 10 of the nationally representative Household, Income and Labour Dynamics in Australia dataset was undertaken to assess whether multidimensional poverty status can predict chronic income poverty. Of those who were multidimensionally poor (low income plus poor health or poor health and insufficient education attainment) in 2007, and those who were in income poverty only (no other forms of disadvantage) in 2007, a greater proportion of those in multidimensional poverty continued to be in income poverty for the subsequent 5 years through to 2012. People who were multidimensionally poor in 2007 had 2.17 times the odds of being in income poverty each year through to 2012 than those who were in income poverty only in 2005 (95% CI: 1.23–3.83). Multidimensional poverty measures are a useful tool for policymakers to identify target populations for policies aiming to improve equity and reduce chronic disadvantage. Copyright © 2014 John Wiley & Sons, Ltd.

Suggested Citation

  • 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.
    • Handle: RePEc:wly:hlthec:v:24:y:2015:i:12:p:1638-1643
    DOI: 10.1002/hec.3112
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    References listed on IDEAS

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    Cited by:

    1. Hui Xiao & Xian Liang & Chen Chen & Fangting Xie, 2022. "The Impact of Multidimensional Poverty on Rural Households’ Health: From a Perspective of Social Capital and Family Care," IJERPH, MDPI, vol. 19(21), pages 1-27, November.
    2. Roger Wilkins, 2021. "Economic Wellbeing," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 469-481, December.

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