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Understanding the Drivers of Poverty Dynamics in Australian Households

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  • HIELKE BUDDELMEYER
  • SHER VERICK

Abstract

This paper contributes to the growing literature on poverty dynamics in Australian households. The results reveal that a range of life-changing events, household head, partner and demographic characteristics have an impact on both the likelihood of remaining poor and slipping into poverty. These findings have important implications for Australian policymakers: tertiary education and employment are key factors in keeping households out of poverty; having a disability or living in outer-regional or remote areas increases the probability of becoming poor and remaining in such a situation; and finally, life-changing events, especially becoming separated, can lead households into persistent poverty. Copyright © 2008 The Economic Society of Australia.

Suggested Citation

  • Hielke Buddelmeyer & Sher Verick, 2008. "Understanding the Drivers of Poverty Dynamics in Australian Households," The Economic Record, The Economic Society of Australia, vol. 84(266), pages 310-321, September.
  • Handle: RePEc:bla:ecorec:v:84:y:2008:i:266:p:310-321
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    References listed on IDEAS

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    1. Lorenzo Cappellari & Stephen P. Jenkins, 2004. "Modelling low income transitions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 593-610.
    2. Ann Huff Stevens, 1999. "Climbing out of Poverty, Falling Back in: Measuring the Persistence of Poverty Over Multiple Spells," Journal of Human Resources, University of Wisconsin Press, vol. 34(3), pages 557-588.
    3. Peter Saunders & Bruce Bradbury, 2006. "Monitoring Trends in Poverty and Income Distribution: Data, Methodology and Measurement," The Economic Record, The Economic Society of Australia, vol. 82(258), pages 341-364, September.
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    Citations

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    Cited by:

    1. Aysenur Acar & Cem Baslevent, 2014. "Examination of the Transitions of Households into and out of Poverty in Turkey," Working Papers 015, Bahcesehir University, Betam.
    2. Alexander Ahammer & Stefan Kranzinger, 2017. "Poverty in Times of Crisis," Economics working papers 2017-03, Department of Economics, Johannes Kepler University Linz, Austria.
    3. Ayşenur Acar & Cem Baslevent, 2013. "Examination of the transition of Turkish households into and out of poverty between 2007-2010," EcoMod2013 5779, EcoMod.
    4. FUSCO Alessio & ISLAM Nizamul, 2012. "Understanding the drivers of low income transitions in Luxembourg," LISER Working Paper Series 2012-31, LISER.
    5. REINSTADLER Anne & RAY Jean-Claude, 2010. "Macro Determinants of Individual Income Poverty in 93 Regions of Europe," LISER Working Paper Series 2010-13, LISER.
    6. Birhanu, Mulugeta Y. & Ambaw, Birhanu & Mulu, Yohannis, 2017. "Dynamics of multidimensional child poverty and its triggers: Evidence from Ethiopia using Multilevel Mixed Effect Model," MPRA Paper 79377, University Library of Munich, Germany.
    7. Elliott Fan & Chris Ryan, 2011. "Reconciling income mobility and welfare persistence," CEPR Discussion Papers 651, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    8. Mitra, Sophie & Posarac, Aleksandra & Vick, Brandon, 2011. "Disability and poverty in developing countries : a snapshot from the world health survey," Social Protection and Labor Policy and Technical Notes 62564, The World Bank.
    9. Sara Ayllón, 2013. "Understanding poverty persistence in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 4(2), pages 201-233, June.

    More about this item

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • 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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