IDEAS home Printed from https://ideas.repec.org/a/eee/joecag/v22y2022ics2212828x22000020.html
   My bibliography  Save this article

Health, loneliness and the ageing process in the absence of cardinal measure: Rendering intangibles tangible

Author

Listed:
  • Anderson, Gordon
  • Fu, Rui
  • Leo, Teng Wah

Abstract

Given the strong health–ageing connection, provision of care for the aged places a significant economic burden on a society, whether it is privately or state provided. Assessment of the health care needs of the aged is problematic due to the ordered categorical nature of self-reported health status, since results based upon arbitrary attribution of cardinal measure to ordinal categories are ambiguous due to scale and weighting issues. Here scale independent methods, particularly useful in multilateral, multidimensional analysis with ordered outcomes for measurement and comparison of treatment group wellness are proposed and exemplified in a study of poor health–loneliness and ageing relationships in China. Substantial differences in health and loneliness experiences across age, gender, urban–rural, and partner status divides are revealed, highlighting the exceptional health care needs of the aged in particular areas.

Suggested Citation

  • Anderson, Gordon & Fu, Rui & Leo, Teng Wah, 2022. "Health, loneliness and the ageing process in the absence of cardinal measure: Rendering intangibles tangible," The Journal of the Economics of Ageing, Elsevier, vol. 22(C).
    • Handle: RePEc:eee:joecag:v:22:y:2022:i:c:s2212828x22000020
    DOI: 10.1016/j.jeoa.2022.100369
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2212828X22000020
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jeoa.2022.100369?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Benedicte Apouey, 2007. "Measuring health polarization with self‐assessed health data," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 875-894, September.
    2. Ye Luo & Linda J. Waite, 2014. "Loneliness and Mortality Among Older Adults in China," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(4), pages 633-645.
    3. Anderson, Gordon & Leo, Teng Wah, 2021. "Sufficient conditions for jth order stochastic dominance for discrete cardinal variables, and their formulae," Economics Letters, Elsevier, vol. 209(C).
    4. Gordon Anderson & Oliver Linton & Maria Grazia Pittau & Yoon-Jae Whang & Roberto Zelli, 2021. "On unit free assessment of the extent of multilateral distributional variation," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 502-518.
    5. Stephen P. Jenkins, 2021. "Inequality Comparisons with Ordinal Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 547-563, September.
    6. Bénédicte Apouey & Jacques Silber & Yongsheng Xu, 2020. "On Inequality‐Sensitive and Additive Achievement Measures Based on Ordinal Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(2), pages 267-286, June.
    7. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2003. "2001 Lawrence R. Klein Lecture Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 361-422, May.
    8. Schröder, Carsten & Yitzhaki, Shlomo, 2017. "Revisiting the evidence for cardinal treatment of ordinal variables," European Economic Review, Elsevier, vol. 92(C), pages 337-358.
    9. Gordon John Anderson & Teng Wah Leo, 2021. "On Extending Stochastic Dominance Comparisons to Ordinal Variables and Generalising Hammond Dominance," Working Papers tecipa-705, University of Toronto, Department of Economics.
    10. Junsen Zhang, 2017. "The Evolution of China's One-Child Policy and Its Effects on Family Outcomes," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 141-160, Winter.
    11. Anderson, Gordon & Linton, Oliver & Whang, Yoon-Jae, 2012. "Nonparametric estimation and inference about the overlap of two distributions," Journal of Econometrics, Elsevier, vol. 171(1), pages 1-23.
    12. A. B. Atkinson & F. Bourguignon, 1982. "The Comparison of Multi-Dimensioned Distributions of Economic Status," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(2), pages 183-201.
    13. Jeni Klugman & Francisco Rodríguez & Hyung-Jin Choi, 2011. "The HDI 2010: new controversies, old critiques," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 249-288, June.
    14. Jan-Emmanuel De Neve & George Ward & Femke De Keulenaer & Bert Van Landeghem & Georgios Kavetsos & Michael I. Norton, 2018. "The Asymmetric Experience of Positive and Negative Economic Growth: Global Evidence Using Subjective Well-Being Data," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 362-375, May.
    15. Andrew E. Clark & Paul Frijters & Michael A. Shields, 2008. "Relative Income, Happiness, and Utility: An Explanation for the Easterlin Paradox and Other Puzzles," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 95-144, March.
    16. Gordon Anderson & Thierry Post & Yoon-Jae Whang, 2020. "Somewhere Between Utopia and Dystopia: Choosing From Multiple Incomparable Prospects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 502-515, July.
    17. Whang,Yoon-Jae, 2019. "Econometric Analysis of Stochastic Dominance," Cambridge Books, Cambridge University Press, number 9781108472791, June.
    18. Angus Deaton, 2008. "Income, Health, and Well-Being around the World: Evidence from the Gallup World Poll," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 53-72, Spring.
    19. Frank A. Cowell & Emmanuel Flachaire, 2017. "Inequality with Ordinal Data," Economica, London School of Economics and Political Science, vol. 84(334), pages 290-321, April.
    20. Jeffrey D. Sachs & Richard Layard & John F. Helliwell, 2018. "World Happiness Report 2018," Working Papers id:12761, eSocialSciences.
    21. Timothy N. Bond & Kevin Lang, 2019. "The Sad Truth about Happiness Scales," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1629-1640.
    22. Gerst-Emerson, K. & Jayawardhana, J., 2015. "Loneliness as a public health issue: The impact of loneliness on health care utilization among older adults," American Journal of Public Health, American Public Health Association, vol. 105(5), pages 1013-1019.
    23. Daniel Kahneman & Alan B. Krueger, 2006. "Developments in the Measurement of Subjective Well-Being," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 3-24, Winter.
    24. Yue Qian & Zhenchao Qian, 2014. "The gender divide in urban China: Singlehood and assortative mating by age and education," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(45), pages 1337-1364.
    25. Easterlin, Richard A., 1995. "Will raising the incomes of all increase the happiness of all?," Journal of Economic Behavior & Organization, Elsevier, vol. 27(1), pages 35-47, June.
    26. Sen, Amartya, 1995. "Inequality Reexamined," OUP Catalogue, Oxford University Press, number 9780198289289, Decembrie.
    27. Allison, R. Andrew & Foster, James E., 2004. "Measuring health inequality using qualitative data," Journal of Health Economics, Elsevier, vol. 23(3), pages 505-524, May.
    28. Eric R. Nielsen, 2015. "The Income-Achievement Gap and Adult Outcome Inequality," Finance and Economics Discussion Series 2015-41, Board of Governors of the Federal Reserve System (U.S.).
    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. Chen, Le-Yu & Oparina, Ekaterina & Powdthavee, Nattavudh & Srisuma, Sorawoot, 2022. "Robust Ranking of Happiness Outcomes: A Median Regression Perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 672-686.
    2. Gordon Anderson & Oliver Linton & Maria Grazia Pittau & Yoon-Jae Whang & Roberto Zelli, 2021. "On unit free assessment of the extent of multilateral distributional variation," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 502-518.
    3. Chen, Le-Yu & Oparina, Ekaterina & Powdthavee, Nattavudh & Srisuma, Sorawoot, 2019. "Have Econometric Analyses of Happiness Data Been Futile? A Simple Truth about Happiness Scales," IZA Discussion Papers 12152, Institute of Labor Economics (IZA).
    4. Arthur Grimes & Stephen P. Jenkins & Florencia Tranquilli, 2023. "The Relationship Between Subjective Wellbeing and Subjective Wellbeing Inequality: An Important Role for Skewness," Journal of Happiness Studies, Springer, vol. 24(1), pages 309-330, January.
    5. Stephen P. Jenkins, 2020. "Better off? Distributional comparisons for ordinal data about personal well-being," New Zealand Economic Papers, Taylor & Francis Journals, vol. 54(3), pages 211-238, September.
    6. Li, Wenchao, 2021. "The “miseries” of sex imbalance: Evidence using subjective well-being data," Journal of Development Economics, Elsevier, vol. 151(C).
    7. Stephen P. Jenkins, 2020. "Comparing distributions of ordinal data," Stata Journal, StataCorp LLC, vol. 20(3), pages 505-531, September.
    8. Martyna Kobus & Olga Półchłopek & Gaston Yalonetzky, 2019. "Inequality and Welfare in Quality of Life Among OECD Countries: Non-parametric Treatment of Ordinal Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 201-232, May.
    9. Valérie Bérenger & Jacques Silber, 2022. "On the Measurement of Happiness and of its Inequality," Journal of Happiness Studies, Springer, vol. 23(3), pages 861-902, March.
    10. Burger,Martijn & Hendriks,Martijn & Ianchovichina,Elena, 2022. "Anatomy of Brazil’s Subjective Well-Being : A Tale of Growing Discontent and Polarization in the 2010s," Policy Research Working Paper Series 9924, The World Bank.
    11. Frank A Cowell & Martyna Kobus & Radoslaw Kurek, 2017. "Welfare and Inequality Comparisons for Uni- and Multi-dimensional Distributions of Ordinal Data," STICERD - Public Economics Programme Discussion Papers 31, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    12. Carol Graham, 2005. "The Economics of Happiness," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 6(3), pages 41-55, July.
    13. Gordon Anderson, 2023. "Has Canada's 21st‐Century Grand Gender Convergence Stalled? Male and Female Income and Human Resource Stock Distributions Viewed Through an Equal Opportunity Lens," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(4), pages 907-930, December.
    14. Gordon John Anderson & Teng Wah Leo, 2021. "On Extending Stochastic Dominance Comparisons to Ordinal Variables and Generalising Hammond Dominance," Working Papers tecipa-705, University of Toronto, Department of Economics.
    15. Burhan, Nik Ahmad Sufian & Mohamad, Mohd Rosli & Kurniawan, Yohan & Sidek, Abdul Halim, 2014. "National Intelligence, Basic Human Needs, and Their Effect on Economic Growth," MPRA Paper 77267, University Library of Munich, Germany.
    16. Stephen P. Jenkins, 2021. "Inequality Comparisons with Ordinal Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 547-563, September.
    17. Sergei Guriev & Ekaterina Zhuravskaya, 2009. "(Un)happiness in Transition," Journal of Economic Perspectives, American Economic Association, vol. 23(2), pages 143-168, Spring.
    18. Ekaterina Oparina & Sorawoot Srisuma, 2022. "Analyzing Subjective Well-Being Data with Misclassification," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
    19. Rubén Arrondo & Ana Cárcaba & Eduardo González, 2021. "Drivers of Subjective Well-being in Spain: Are There Gender Differences?," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(5), pages 2131-2154, October.
    20. Zhang, Yinjunjie & Xu, Zhicheng Phil & Palma, Marco A., 2017. "Misclassification Errors of Subjective Well-being: A New Approach to Mapping Happiness," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258553, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Wellbeing measurement; Ordering distributions; Ordinal data;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

    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:eee:joecag:v:22:y:2022:i:c:s2212828x22000020. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/the-journal-of-the-economics-of-ageing .

    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.