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Understanding the Drivers of Poverty Dynamics in Australian Households

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Author Info
Hielke Buddelmeyer () (Melbourne Institute of Applied Economic and Social Research and IZA)
Sher Verick () (United Nations Economic Commission for Africa (UNECA) and IZA)

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Abstract

Using 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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Publisher Info
Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2827.

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Length: 29 pages
Date of creation: Jun 2007
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Handle: RePEc:iza:izadps:dp2827

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Related research
Keywords: poverty dynamics state dependence attrition household panel data

Find related papers by JEL classification:
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models

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References listed on IDEAS
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.:
  1. 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, 09. [Downloadable!] (restricted)
  2. Lorenzo Cappellari & Stephen P. Jenkins, 2004. "Modelling low income transitions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 593-610. [Downloadable!]
    Other versions:
  3. Ann Huff Stevens, 1995. "Climbing Out of Poverty, Falling Back In: Measuring the Persistence of Poverty over Multiple Spells," NBER Working Papers 5390, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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