IDEAS home Printed from https://ideas.repec.org/p/ucd/wpaper/201305.html
   My bibliography  Save this paper

Multi-dimensional Deprivation in Ireland Among 9-Year Olds in Ireland: An Analysis of the Growing Up in Ireland Survey

Author

Listed:
  • James Williams

    (Economics and Social Research Institute, Dublin)

  • Aisling Murray

    (Economics and Social Research Institute, Dublin)

  • Christopher Whelan

    (School of Sociology and Social Policy, Queen’s University, UCD Geary Institute and School of Sociology, University College Dublin)

Abstract

In this paper we make use of the 9-year old wave of the Growing Up in Ireland study to analyse multidimensional deprivation in Ireland. The Alkire and Foster adjusted head count ratio approach (AHCR; 2007, 2011a, 2011b) applied here constitutes a significant improvement on union and intersection approaches and allows for the decomposition of multidimensional poverty in terms of dimensions and sub-groups. The approach involves a censoring of data such that deprivations count only for those above the specified multidimensional threshold leading to a stronger set of interrelationships between deprivation dimensions. Our analysis shows that the composition of the adjusted head ratio is influenced by a range of socio-economic factors. For less-favoured socio-economic groups dimensions relating to material deprivation are disproportionately represented while for the more advantaged groups, those relating to behavioral and emotional issues and social interaction play a greater role. Notwithstanding such variation in composition, our analysis showed that the AHCR varied systematically across categories of household type, and the social class, education and age group of the primary care giver. Furthermore, these variables combined in a cumulative manner. The most systematic variation was in relation to the head count of those above the multidimensional threshold rather than intensity, conditional on being above that cut-off point. Without seeking to arbitrate on the relative value of composite indices versus disaggregated profiles, our analysis demonstrates that there is much to be gained from adopting an approach with clearly understood axiomatic properties. Doing so allows one to evaluate the consequences of the measurement strategy employed for the understanding of levels of multidimensional deprivation, the nature of such deprivation profiles and socio-economic risk patterns. Ultimately it permits an informed assessment of the strengths and weaknesses of the particular choices made.

Suggested Citation

  • James Williams & Aisling Murray & Christopher Whelan, 2013. "Multi-dimensional Deprivation in Ireland Among 9-Year Olds in Ireland: An Analysis of the Growing Up in Ireland Survey," Working Papers 201305, Geary Institute, University College Dublin.
    • Handle: RePEc:ucd:wpaper:201305
    as

    Download full text from publisher

    File URL: http://www.ucd.ie/geary/static/publications/workingpapers/gearywp201305.pdf
    File Function: First version, 2013
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Ravallion, 2011. "On multidimensional indices of poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 235-248, June.
    2. Jonathan Bradshaw & Petra Hoelscher & Dominic Richardson, 2007. "An Index of Child Well-being in the European Union," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 80(1), pages 133-177, January.
    3. Sabina Alkire & James Foster, 2011. "Understandings and misunderstandings of multidimensional poverty measurement," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 289-314, June.
    4. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    5. Sinéad Hanafin & Anne-Marie Brooks & Ed Carroll & Eithne Fitzgerald & Saoirse GaBhainn & Jane Sixsmith, 2007. "Achieving Consensus in Developing a National Set of Child Well-Being Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 80(1), pages 79-104, January.
    6. A. Atkinson, 2003. "Multidimensional Deprivation: Contrasting Social Welfare and Counting Approaches," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 51-65, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    2. Francesco Farina, 2015. "Development theory and poverty. A review," Working Papers 46-2015, Macerata University, Department of Studies on Economic Development (DiSSE), revised Jan 2015.
    3. Espinoza-Delgado, José & Klasen, Stephan, 2018. "Gender and multidimensional poverty in Nicaragua: An individual based approach," World Development, Elsevier, vol. 110(C), pages 466-491.
    4. Burhan Can Karahasan & Fırat Bilgel, 2021. "The Topography and Sources of Multidimensional Poverty in Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 413-445, April.
    5. Udaya Wagle, 2014. "The Counting-Based Measurement of Multidimensional Poverty: The Focus on Economic Resources, Inner Capabilities, and Relational Resources in the United States," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(1), pages 223-240, January.
    6. Mateusz Piwowarski & Danuta Miłaszewicz & Małgorzata Łatuszyńska & Mariusz Borawski & Kesra Nermend, 2018. "Application of the Vector Measure Construction Method and Technique for Order Preference by Similarity Ideal Solution for the Analysis of the Dynamics of Changes in the Poverty Levels in the European ," Sustainability, MDPI, vol. 10(8), pages 1-24, August.
    7. José Roche, 2013. "Monitoring Progress in Child Poverty Reduction: Methodological Insights and Illustration to the Case Study of Bangladesh," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 363-390, June.
    8. Permanyer, Iñaki, 2014. "Assessing individuals' deprivation in a multidimensional framework," Journal of Development Economics, Elsevier, vol. 109(C), pages 1-16.
    9. Woojin Jung, 2022. "The Discrepancy Between Two Approaches to Global Poverty: What Does it Reveal?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(3), pages 1313-1344, August.
    10. Álvaro José Altamirano Montoya & Karla Maria Damiano Teixeira, 2017. "Multidimensional Poverty in Nicaragua: Are Female-Headed Households Better Off?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(3), pages 1037-1063, July.
    11. Wulung Hanandita & Gindo Tampubolon, 2016. "Multidimensional Poverty in Indonesia: Trend Over the Last Decade (2003–2013)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 559-587, September.
    12. Sam Jones, 2019. "Counting-based multidimensional poverty identification: From deprivation weights to bundles," WIDER Working Paper Series wp-2019-55, World Institute for Development Economic Research (UNU-WIDER).
    13. World Bank, 2022. "A Welfarist Theory Unifying Monetary and Non-Monetary Poverty Measurement," Policy Research Working Paper Series 10076, The World Bank.
    14. Christoph Bader & Sabin Bieri & Urs Wiesmann & Andreas Heinimann, 2016. "A Different Perspective on Poverty in Lao PDR: Multidimensional Poverty in Lao PDR for the Years 2002/2003 and 2007/2008," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(2), pages 483-502, March.
    15. Chris De Neubourg & Jingqing Chai & Marlous de Milliano & Ilze Plavgo, 2013. "Step-by-Step Guidelines to the Multiple Overlapping Deprivation Analysis (MODA)," Papers inwopa695, Innocenti Working Papers.
    16. Sabina Alkire & James Foster, 2011. "Understandings and misunderstandings of multidimensional poverty measurement," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 289-314, June.
    17. 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.
    18. Koen Decancq & Marc Fleurbaey & François Maniquet, 2019. "Multidimensional poverty measurement with individual preferences," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 29-49, March.
    19. Sabina Alkire, Mauricio Apablaza, 2016. "Multidimensional Poverty in Europe 2006-2012: Illustrating a Methodology," OPHI Working Papers 74, Queen Elizabeth House, University of Oxford.
    20. Anh Thu Quang Pham & Pundarik Mukhopadhaya, 2022. "Multidimensionl Poverty and The Role of Social Capital in Poverty Alleviation Among Ethnic Groups in Rural Vietnam: A Multilevel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 281-317, January.

    More about this item

    Keywords

    Multidimensional poverty; decomposition of poverty; deprivation; composite poverty indices; childhood well-being; well-being indicators;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ucd:wpaper:201305. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Geary Tech (email available below). General contact details of provider: https://edirc.repec.org/data/geucdie.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.