Understanding the Drivers of Poverty Dynamics in Australian Households
AbstractUsing longitudinal household data and an econometric model of conditional poverty transitions, this paper contributes to the growing literature on poverty dynamics in Australian households. The results reveal that a range of household head, partner and demographic characteristics in addition to life-changing events 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 increases the probability of becoming poor and remaining in such a situation; households in outer-regional or remote areas are more likely to become poor and continue to live under such hardship; and finally, life-changing events, especially becoming separated, can lead households into persistent poverty. These results are robust to a range of poverty definitions. By drawing on research that utilizes such longitudinal data, policymakers will be much better informed about the drivers of material deprivation in Australia and subsequently how best to design policies that target and support the most vulnerable households.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2827.
Length: 29 pages
Date of creation: Jun 2007
Date of revision:
Publication status: published in: Economic Record, 2008, 84 (266), 310-321
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Other versions of this item:
- 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, 09.
- 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-07-07 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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