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Duration and Persistence in Multidimensional Deprivation: Methodology and Australian Application

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  • Aaron Nicholas
  • Ranjan Ray

Abstract

This paper extends the recent literature on static multidimensional deprivation to propose dynamic deprivation measures that incorporate both the persistence and duration of deprivation across multiple dimensions. The paper then illustrates the usefulness of the extension by applying it to Australian panel data for the recent period, 2001-2008. The empirical application exploits the subgroup decomposability of the deprivation measures to identify the subgroups that are more deprived than others. The proposed measure is also decomposable by dimensions and is used to identify the dimensions where deprivation is more persistent. The comparison between the subgroups shows that the divide between homeowners and non-homeowners is one of the sharpest, with the latter suffering much more deprivation than the former. The results are robust to alternative schemes for weighting and aggregating the dimensions as well as to the choice of model parameters.

Suggested Citation

  • Aaron Nicholas & Ranjan Ray, 2011. "Duration and Persistence in Multidimensional Deprivation: Methodology and Australian Application," Monash Economics Working Papers 10-11, Monash University, Department of Economics.
    • Handle: RePEc:mos:moswps:2011-10
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    Cited by:

    1. Duangkamon Chotikapanich & William Griffiths & Wasana Karunarathne & D.S. Prasada Rao, 2013. "Calculating Poverty Measures from the Generalised Beta Income Distribution," The Economic Record, The Economic Society of Australia, vol. 89, pages 48-66, June.
    2. BOSSERT, Walter & CERIANI, Lidia & CHAKRAVARTY, Satya R. & D'AMBROSIO, Conchita, 2012. "Intertemporal Material Deprivation," Cahiers de recherche 2012-06, Universite de Montreal, Departement de sciences economiques.
    3. Sanjesh Kumar & Ranjan Ray, 2024. "Social and emotional well‐being and economic insecurity of Aboriginal and Torres Strait Islanders: A multidimensional approach," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(4), pages 1982-2004, May.
    4. Suman Seth & Maria Emma Santos, 2019. "On the Interaction Between Focus and Distributional Properties in Multidimensional Poverty Measurement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 503-521, September.
    5. Alkire, Sabina & Apablaza, Mauricio & Chakravarty, Satya & Yalonetzky, Gaston, 2017. "Measuring chronic multidimensional poverty," Journal of Policy Modeling, Elsevier, vol. 39(6), pages 983-1006.
    6. Sabina Alkire & Mauricio Apablaza & Satya R. Chakravarty & Gaston Yalonetzky, 2014. "Measuring Chronic Multidimensional Poverty: A Counting Approach," OPHI Working Papers 75, Queen Elizabeth House, University of Oxford.
    7. Ankita Mishra & Ranjan Ray & Leonora Risse, 2018. "A Multidimensional Dynamic Measure of Child Disadvantage: A Methodological Tool for Policymakers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 1187-1218, October.
    8. Mauricio Gallardo, 2020. "Measuring Vulnerability to Multidimensional Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 67-103, February.
    9. Sinha, Kompal & Davillas, Apostolos & Jones, Andrew M. & Sharma, Anurag, 2021. "Do socioeconomic health gradients persist over time and beyond income? A distributional analysis using UK biomarker data," Economics & Human Biology, Elsevier, vol. 43(C).
    10. Aysenur Acar, 2014. "The Dynamics of Multidimensional Poverty in Turkey," Working Papers 014, Bahcesehir University, Betam.
    11. 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.
    12. Yiyan Chen & Zhaoyun Tang, 2023. "A Study of Multidimensional and Persistent Poverty among Migrant Workers: Evidence from China’s CFPS 2014–2020," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    13. Ankita Mishra & Ranjan Ray & Leonora Risse, 2016. "The Multidimensional Disadvantage of Australian Children with a Comparison between Indigenous and Non-Indigenous Children," Monash Economics Working Papers 19-16, Monash University, Department of Economics.

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    More about this item

    Keywords

    Multidimensional Deprivation; Social Exclusion; Duration of Deprivation; Deprivation Persistence; Subgroup Decomposability.;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy

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