IDEAS home Printed from https://ideas.repec.org/p/ulr/wpaper/dt-23-21.html
   My bibliography  Save this paper

Clases latentes de dependencia en Uruguay

Author

Listed:
  • Maira Colacce

    (Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de Administración. Instituto de Economía)

  • Julia Córdoba

    (Universidad de la República (Uruguay). Facultad de Psicología. Programa de Discapacidad y Calidad de Vida)

  • Alejandra Marroig

    (Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de Administración. Instituto de Estadística)

  • Guillermo Sánchez

    (Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de Administración. Instituto de Economía)

Abstract

This study seeks to characterize the dependent population in Uruguay, either due to aging or disability, through the construction of dependency profiles. A latent class model is implemented to synthesize the information from multiple questions associated with the need for help in activities of daily living based on the Longitudinal Survey of Social Protection. Four classes of dependency were obtained both among people over 59 and people with disabilities under 60. In the two populations there is a group of people without dependency; another group of people who require help in a wide range of activities, always including the basic ones (eating, using the bathroom, dressing, walking, getting out of bed); and an intermediate group that is characterized by needing help in various instrumental activities and who may require support in some basic activity, but not in eating. The other two groups are different between older people and people with disabilities. In the case of the elderly, the fourth group only requires help in carrying out household chores and in moving outside the home, made up exclusively of women. In people with disabilities, a group is distinguished that is handicapped by a more psychological than physical component, which presents higher levels of need for help in communicating, socializing and avoiding risks. This type of groupings contributes to the design of policies since it is probable that the type of care and assistance required by people in a situation of dependency is related to the categories resulting from the latent classes model in a way that complements the indices that assign degrees of severity to said dependence.

Suggested Citation

  • Maira Colacce & Julia Córdoba & Alejandra Marroig & Guillermo Sánchez, 2021. "Clases latentes de dependencia en Uruguay," Documentos de Trabajo (working papers) 21-23, Instituto de Economía - IECON.
  • Handle: RePEc:ulr:wpaper:dt-23-21
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/20.500.12008/30216
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Amengual, D.; Bueren, J.; Crego, J.A.;, 2017. "Endogenous Health Groups and Heterogeneous Dynamics of the Elderly," Health, Econometrics and Data Group (HEDG) Working Papers 17/18, HEDG, c/o Department of Economics, University of York.
    2. Ruth Hancock & Marcello Morciano & Stephen Pudney & Francesca Zantomio, 2015. "Do household surveys give a coherent view of disability benefit targeting?: a multisurvey latent variable analysis for the older population in Great Britain," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 815-836, October.
    3. Wolfe, Barbara L & Behrman, Jere R, 1984. "Determinants of Women's Health Status and Health-Care Utilization in a Developing Country: A Latent Variable Approach," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 696-703, November.
    4. Linzer, Drew A. & Lewis, Jeffrey B., 2011. "poLCA: An R Package for Polytomous Variable Latent Class Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i10).
    5. Lee, Lung-Fei, 1982. "Health and Wage: A Simultaneous Equation Model with Multiple Discrete Indicators," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 23(1), pages 199-221, February.
    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. Adrian O’Hagan & Arthur White, 2019. "Improved model-based clustering performance using Bayesian initialization averaging," Computational Statistics, Springer, vol. 34(1), pages 201-231, March.
    2. Lindelow, Magnus, 2002. "Health care demand in rural Mozambique," FCND discussion papers 126, International Food Policy Research Institute (IFPRI).
    3. Lisa Blaydes, 2023. "Assessing the Labor Conditions of Migrant Domestic Workers in the Arab Gulf States," ILR Review, Cornell University, ILR School, vol. 76(4), pages 724-747, August.
    4. Jindřich Špička & Zdeňka Náglová, 2022. "Consumer segmentation in the meat market - The case study of Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(2), pages 68-77.
    5. Nicholas T. Davis & Kirby Goidel & Yikai Zhao, 2021. "The Meanings of Democracy among Mass Publics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(3), pages 849-921, February.
    6. Carter, Virginia & Derudder, Ben & Henríquez, Cristián, 2021. "Assessing local governments’ perception of the potential implementation of biophilic urbanism in Chile: A latent class approach," Land Use Policy, Elsevier, vol. 101(C).
    7. Assem Abu Hatab & Padmaja Ravula & Swamikannu Nedumaran & Carl-Johan Lagerkvist, 2022. "Perceptions of the impacts of urban sprawl among urban and peri-urban dwellers of Hyderabad, India: a Latent class clustering analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12787-12812, November.
    8. Haveman, Robert & Wolfe, Barbara & Kreider, Brent & Stone, Mark, 1994. "Market work, wages, and men's health," Journal of Health Economics, Elsevier, vol. 13(2), pages 163-182, July.
    9. Ana Llena‐Nozal & Maarten Lindeboom & France Portrait, 2004. "The effect of work on mental health: does occupation matter?," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 1045-1062, October.
    10. Lorena Charrier & Paola Berchialla & Paola Dalmasso & Alberto Borraccino & Patrizia Lemma & Franco Cavallo, 2019. "Cigarette Smoking and Multiple Health Risk Behaviors: A Latent Class Regression Model to Identify a Profile of Young Adolescents," Risk Analysis, John Wiley & Sons, vol. 39(8), pages 1771-1782, August.
    11. Wolfe, Barbara & Wilson, Kathryn & Haveman, Robert, 2001. "The role of economic incentives in teenage nonmarital childbearing choices," Journal of Public Economics, Elsevier, vol. 81(3), pages 473-511, September.
    12. Raphaela Grafiadeli & Heide Glaesmer & Birgit Wagner, 2022. "Loss-Related Characteristics and Symptoms of Depression, Prolonged Grief, and Posttraumatic Stress Following Suicide Bereavement," IJERPH, MDPI, vol. 19(16), pages 1-10, August.
    13. Théophile Azomahou & Bity Diene & Mbaye Diene & Luc Soete, 2015. "Optimal health investment and preference structure," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 60(3), pages 521-565, November.
    14. Lixin Cai & Guyonne Kalb, 2004. "Health Status and Labour Force Participation: Evidence from the HILDA Data," Melbourne Institute Working Paper Series wp2004n04, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    15. Rahman, Tauhidur & Mittelhammer, Ronald C. & Wandschneider, Philip R., 2003. "A Sensitivity Analysis Of Quality Of Life Indices Across Countries," 2003 Annual meeting, July 27-30, Montreal, Canada 22045, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Guangchao Feng, 2014. "Estimating intercoder reliability: a structural equation modeling approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2355-2369, July.
    17. Paolo Brunori & Alain Trannoy & Caterina Francesca Guidi, 2021. "Ranking populations in terms of inequality of health opportunity: A flexible latent type approach," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 358-383, February.
    18. Weissinger, Guy & Shelby Rivers, Alannah & Atte, Tita & Diamond, Guy, 2023. "Suicide risk screening in the school environment: Family factors and profiles," Children and Youth Services Review, Elsevier, vol. 145(C).
    19. Variyam, Jayachandran N. & Blaylock, James R. & Smallwood, David, 1995. "Modeling Nutrient Intake: The Role of Dietary Information," Technical Bulletins 156772, United States Department of Agriculture, Economic Research Service.
    20. Christophe Muller, 1997. "The consequences of past agricultural output on interacting nutrition and health of autarkic peasants: evidence from Rwanda," Economics Series Working Papers WPS/1997-07, University of Oxford, Department of Economics.

    More about this item

    Keywords

    Latent groups; Aging; Disability; Long-Term Care; Dependence; Uruguay;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • 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:ulr:wpaper:dt-23-21. 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: Lorenza Pérez (email available below). General contact details of provider: https://edirc.repec.org/data/ierauuy.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.