IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/111833.html
   My bibliography  Save this paper

Income and conversion handicaps: estimating the impact of child chronic illness/disability on family income and the extra cost of child chronic illness/child disability in Ireland using a standard of living approach

Author

Listed:
  • Roddy, Áine

Abstract

Child chronic illness/ disability can present significant challenges for children, families and society that require appropriate policy responses; yet little is known about the demands placed on families resources from an economics perspective in terms of its impact on household income and the extra income required to achieve the same standard of living as families who do not have a child with a chronic illness/disability. The paper uses data from the Growing Up in Ireland National survey dataset for nine year olds. It is the first study to empirically investigate the impact of child chronic illness/disability on earnings, standard of living and the extra cost of disability together. It is also the first study to explicitly address endogeneity in the standard of living model by using a two-stage process where residuals were harvested to provide efficient estimates. The findings show that families experience significant disadvantage and economic hardship due to reduced household income and a lower standard of living due to the extra cost of disability that would require considerable income to compensate. Policy implications of these findings suggest that a tiered approach to disability support payments which encompass broader criteria for inclusion based on varying severity levels be introduced to alleviate the financial hardship and compromised economic wellbeing of families affected. In addition, more innovative policies are required to implement appropriate timely access to health and social care services and flexi parental employment, which in turn requires the provision of adequate access to high quality educational and care facilities.

Suggested Citation

  • Roddy, Áine, 2022. "Income and conversion handicaps: estimating the impact of child chronic illness/disability on family income and the extra cost of child chronic illness/child disability in Ireland using a standard of ," LSE Research Online Documents on Economics 111833, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:111833
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/111833/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Cullinan & Brenda Gannon & Eamon O’Shea, 2013. "The welfare implications of disability for older people in Ireland," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(2), pages 171-183, April.
    2. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    3. Diana Pacheco Barzallo, 2018. "Spillover Effects of Long-Term Disabilities on Close Family Members," Applied Health Economics and Health Policy, Springer, vol. 16(3), pages 347-355, June.
    4. Emmanouil Mentzakis, 2011. "Allowing for heterogeneity in monetary subjective well‐being valuations," Health Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 331-347, March.
    5. Darmody, Merike & Smyth, Emer & Russell, Helen, 2020. "The implications of the COVID-19 pandemic for policy in relation to children and young people: a research review," Research Series, Economic and Social Research Institute (ESRI), number SUSTAT94, June.
    6. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    7. Tara Lavelle & Eve Wittenberg & Kara Lamarand & Lisa Prosser, 2014. "Variation in the Spillover Effects of Illness on Parents, Spouses, and Children of the Chronically Ill," Applied Health Economics and Health Policy, Springer, vol. 12(2), pages 117-124, April.
    8. Marcello Morciano & Ruth Hancock & Stephen Pudney, 2015. "Disability Costs and Equivalence Scales in the Older Population in Great Britain," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(3), pages 494-514, September.
    9. Roddy, Áine & O’Neill, Ciaran, 2020. "Predictors of unmet needs and family debt among children and adolescents with an autism spectrum disorder: Evidence from Ireland," Health Policy, Elsevier, vol. 124(3), pages 317-325.
    10. Case, Anne & Fertig, Angela & Paxson, Christina, 2005. "The lasting impact of childhood health and circumstance," Journal of Health Economics, Elsevier, vol. 24(2), pages 365-389, March.
    11. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
    12. Nelson, Julie A, 1993. "Household Equivalence Scales: Theory versus Policy?," Journal of Labor Economics, University of Chicago Press, vol. 11(3), pages 471-493, July.
    13. Daniel Mont & Nguyen Viet Cuong, 2011. "Disability and Poverty in Vietnam," The World Bank Economic Review, World Bank, vol. 25(2), pages 323-359.
    14. Whitney Witt & Kristin Litzelman & Carmen Mandic & Lauren Wisk & John Hampton & Paul Creswell & Carissa Gottlieb & Ronald Gangnon, 2011. "Healthcare-Related Financial Burden Among Families in the U.S.: The Role of Childhood Activity Limitations and Income," Journal of Family and Economic Issues, Springer, vol. 32(2), pages 308-326, June.
    15. J. Cullinan & B. Gannon & S. Lyons, 2011. "Estimating the extra cost of living for people with disabilities," Health Economics, John Wiley & Sons, Ltd., vol. 20(5), pages 582-599, May.
    16. José-Ignacio Antón & Francisco-Javier Braña & Rafael Muñoz de Bustillo, 2016. "An analysis of the cost of disability across Europe using the standard of living approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(3), pages 281-306, August.
    17. Edel Doherty & Anne Dee & Ciaran O’Neill, 2012. "Estimating the Amount of Overweight and Obesity Related Health-Care Use in the Republic of Ireland Using SLÁN Data," The Economic and Social Review, Economic and Social Studies, vol. 43(2), pages 227-250.
    18. Mariya Melnychuk & Francesca Solmi & Stephen Morris, 2018. "Using compensating variation to measure the costs of child disability in the UK," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(3), pages 419-433, April.
    19. Asghar Zaidi & Tania Burchardt, 2005. "Comparing Incomes When Needs Differ: Equivalization For The Extra Costs Of Disability In The U.K," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(1), pages 89-114, March.
    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. Áine Roddy, 2022. "Income and conversion handicaps: estimating the impact of child chronic illness/disability on family income and the extra cost of child chronic illness/child disability in Ireland using a standard of ," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(3), pages 467-483, April.
    2. Lukas Schuelke & Luke Munford & Marcello Morciano, 2022. "Estimating the additional costs of living with a disability in the United Kingdom between 2013 and 2016," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 313-327, March.
    3. Derek Asuman & Charles Godfred Ackah & Frank Agyire-Tettey, 2021. "Disability and Household Welfare in Ghana: Costs and Correlates," Journal of Family and Economic Issues, Springer, vol. 42(4), pages 633-649, December.
    4. Michael Palmer & Jenny Williams & Barbara McPake, 2019. "Standard of Living and Disability in Cambodia," Journal of Development Studies, Taylor & Francis Journals, vol. 55(11), pages 2382-2402, November.
    5. Eleftherios Giovanis & Martina Menon & Federico Perali, 2023. "Disability specific equivalence scales: a case–control approach applied to the cost of acquired brain injuries," International Journal of Health Economics and Management, Springer, vol. 23(4), pages 643-672, December.
    6. Prashant Loyalka & Lan Liu & Gong Chen & Xiaoying Zheng, 2014. "The Cost of Disability in China," Demography, Springer;Population Association of America (PAA), vol. 51(1), pages 97-118, February.
    7. Binh Vu & Rasheda Khanam & Maisha Rahman & Son Nghiem, 2020. "The costs of disability in Australia: a hybrid panel-data examination," Health Economics Review, Springer, vol. 10(1), pages 1-10, December.
    8. Egemen İpek, 2020. "The Costs of Disability in Turkey," Journal of Family and Economic Issues, Springer, vol. 41(2), pages 229-237, June.
    9. Ullmann, Heidi & Atuesta, Bernardo & Rubio García, Mónica & Cecchini, Simone, 2021. "Non-contributory cash transfers: An instrument to promote the rights and well-being of children with disabilities in Latin America and the Caribbean," Documentos de Proyectos 46747, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    10. Morris, Zachary A. & Zaidi, Asghar, 2020. "Estimating the extra costs of disability in European countries: Implications for poverty measurement and disability-related decommodification," LSE Research Online Documents on Economics 103778, London School of Economics and Political Science, LSE Library.
    11. Pudney, Stephen & Hancock, Ruth & Morciano, Marcello, 2012. "Disability costs and equivalence scales in the older population," ISER Working Paper Series 2012-09, Institute for Social and Economic Research.
    12. Howley, P., 2016. "Valuing the benefits from health care interventions using life satisfaction data," Health, Econometrics and Data Group (HEDG) Working Papers 16/01, HEDG, c/o Department of Economics, University of York.
    13. Tatyana Pritvorova & Yelena Petrenko & Nikolay Gelashvili, 2022. "Energy Costs Impact on Disabled Children’s Rehabilitation Opportunities in Kazakhstan," Energies, MDPI, vol. 15(6), pages 1-13, March.
    14. Oznur Ozdamar & Eleftherios Giovanis, 2016. "The Link between Health Condition Costs and Standard of Living: A Structural Equation Modelling," Working Papers 1060, Economic Research Forum, revised 11 Jan 2016.
    15. Giovanis, Eleftherios, 2023. "Cultural Participation and Extra Disability and Health Costs of Syrian Migrants in Turkey," MPRA Paper 116299, University Library of Munich, Germany.
    16. Daniel Mont & Zachary Morris & Mercoledi Nasiir & Nanette Goodman, 2022. "Estimating Households’ Expenditures on Disability in Africa: The Uses and Limitations of the Standard of Living Method," IJERPH, MDPI, vol. 19(23), pages 1-17, December.
    17. Austin L. Wright, 2016. "Economic Shocks and Rebel," HiCN Working Papers 232, Households in Conflict Network.
    18. repec:dau:papers:123456789/13753 is not listed on IDEAS
    19. Dusanee Kesavayuth & Robert Rosenman & Vasileios Zikos, 2013. "Does Personality Affect how People Perceive their Health?," Working Papers 2013-13, School of Economic Sciences, Washington State University.
    20. Mont, Daniel & Nguyen, Cuong, 2013. "Does Parental Disability Matter to Child Education? Evidence from Vietnam," World Development, Elsevier, vol. 48(C), pages 88-107.
    21. Beine, Michel & Lodigiani, Elisabetta & Vermeulen, Robert, 2012. "Remittances and financial openness," Regional Science and Urban Economics, Elsevier, vol. 42(5), pages 844-857.

    More about this item

    Keywords

    child disability; family income; household standard of living; extra cost of disability; economic hardship; Springer deal;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

    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:ehl:lserod:111833. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.