IDEAS home Printed from https://ideas.repec.org/a/kap/ijhcfe/v22y2022i4d10.1007_s10754-022-09325-w.html
   My bibliography  Save this article

The heterogeneous effects of the great recession on informal care to the elderly

Author

Listed:
  • Jesús M. Carro

    (Universidad Carlos III de Madrid)

  • Elizaveta Pronkina

    (LEDa-LEGOS, Université Paris-Dauphine - PSL)

Abstract

This paper studies the role of unobserved factors to measure the impact of the economic downturn on informal care availability to the elderly in Europe. We use the Survey of Health, Ageing and Retirement in Europe (SHARE), which allows controlling for socio-demographic variables. Our results show that the impact of the Great Recession on care receipt depends not only on observed, but also on unobserved characteristics. For 21% of the sample, the effect is three to four times larger than the average effect for the entire sample. For 57% of the sample, there is no effect of the economic crisis, and this is related to unobservable factors. In our estimation process, we are able to characterize how this unobserved heterogeneity correlates with the observable variables. Moreover, we show that if the unobserved heterogeneity in the effect of the crisis is ignored, then we are not able to capture that there is no effect for more than half of the individuals, even if we allow for unobserved heterogeneity in the intercept of the model and for the heterogeneous effect of the crisis based on observables.

Suggested Citation

  • Jesús M. Carro & Elizaveta Pronkina, 2022. "The heterogeneous effects of the great recession on informal care to the elderly," International Journal of Health Economics and Management, Springer, vol. 22(4), pages 355-367, December.
  • Handle: RePEc:kap:ijhcfe:v:22:y:2022:i:4:d:10.1007_s10754-022-09325-w
    DOI: 10.1007/s10754-022-09325-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10754-022-09325-w
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10754-022-09325-w?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Browning, Martin & Carro, Jesus M., 2014. "Dynamic binary outcome models with maximal heterogeneity," Journal of Econometrics, Elsevier, vol. 178(2), pages 805-823.
    2. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    3. Martin Browning & Jesus M. Carro, 2013. "The Identification of a Mixture of First-Order Binary Markov Chains," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 455-459, June.
    4. Bonsang, Eric, 2009. "Does informal care from children to their elderly parents substitute for formal care in Europe?," Journal of Health Economics, Elsevier, vol. 28(1), pages 143-154, January.
    5. repec:wly:hlthec:v:25:y:2016:i::p:25-42 is not listed on IDEAS
    6. Brenda Gannon & Bérengère Davin, 2010. "Use of formal and informal care services among older people in Ireland and France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(5), pages 499-511, October.
    7. Joan Costa‐Font & Martin Karlsson & Henning Øien, 2016. "Careful in the Crisis? Determinants of Older People's Informal Care Receipt in Crisis‐Struck European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 25(S2), pages 25-42, November.
    8. Timothy J. Halliday, 2008. "Heterogeneity, state dependence and health," Econometrics Journal, Royal Economic Society, vol. 11(3), pages 499-516, November.
    9. Victor Chernozhukov & Iván Fernández‐Val & Jinyong Hahn & Whitney Newey, 2013. "Average and Quantile Effects in Nonseparable Panel Models," Econometrica, Econometric Society, vol. 81(2), pages 535-580, March.
    10. Bolin, K. & Lindgren, B. & Lundborg, P., 2008. "Your next of kin or your own career?: Caring and working among the 50+ of Europe," Journal of Health Economics, Elsevier, vol. 27(3), pages 718-738, May.
    11. Martin Browning & Jesus M. Carro, 2010. "Heterogeneity in dynamic discrete choice models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 1-39, February.
    12. Deb, Partha & Trivedi, Pravin K, 1997. "Demand for Medical Care by the Elderly: A Finite Mixture Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 313-336, May-June.
    13. Mommaerts, Corina & Truskinovsky, Yulya, 2020. "The cyclicality of informal care," Journal of Health Economics, Elsevier, vol. 71(C).
    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. Browning, Martin & Carro, Jesus M., 2014. "Dynamic binary outcome models with maximal heterogeneity," Journal of Econometrics, Elsevier, vol. 178(2), pages 805-823.
    2. Aguirregabiria, Victor & Gu, Jiaying & Luo, Yao, 2021. "Sufficient statistics for unobserved heterogeneity in structural dynamic logit models," Journal of Econometrics, Elsevier, vol. 223(2), pages 280-311.
    3. Bonsang, Eric & Costa-Font, Joan, 2023. "The "Demise of the Caregiving Daughter"? Gender Employment Gaps and the Use of Formal and Informal Care in Europe," IZA Discussion Papers 16615, Institute of Labor Economics (IZA).
    4. Korfhage, Thorben, 2019. "Long-run consequences of informal elderly care and implications of public long-term care insurance," Ruhr Economic Papers 813, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Eric Bonsang & Joan Costa-Font & Joan Costa-i-Font, 2023. "The “Demise of the Caregiving Daughter”? Gender Employment Gaps and the Use of Formal and Informal Care in Europe," CESifo Working Paper Series 10792, CESifo.
    6. Sean Urwin & Yiu‐Shing Lau & Thomas Mason, 2019. "Investigating the relationship between formal and informal care: An application using panel data for people living together," Health Economics, John Wiley & Sons, Ltd., vol. 28(8), pages 984-997, August.
    7. Pauline Givord & Lionel Wilner, 2015. "When Does the Stepping‐Stone Work? Fixed‐Term Contracts Versus Temporary Agency Work in Changing Economic Conditions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(5), pages 787-805, August.
    8. Cinzia Di Novi & Rowena Jacobs & Matteo Migheli, 2013. "The quality of life of female informal caregivers: from Scandinavia to the Mediterranean Sea," Working Papers 084cherp, Centre for Health Economics, University of York.
    9. repec:dau:papers:123456789/5866 is not listed on IDEAS
    10. Jackson Bunting, 2022. "Continuous permanent unobserved heterogeneity in dynamic discrete choice models," Papers 2202.03960, arXiv.org, revised Feb 2024.
    11. Rapp, Thomas & Ronchetti, Jérome & Sicsic, Jonathan, 2022. "Impact of formal care consumption on informal care use in Europe: What is happening at the beginning of dependency?," Health Policy, Elsevier, vol. 126(7), pages 632-642.
    12. Tue Gørgens & Dean Robert Hyslop, 2018. "The Specification of Dynamic Discrete-Time Two-State Panel Data Models," Econometrics, MDPI, vol. 7(1), pages 1-16, December.
    13. Gregory, Christian & Deb, Partha, 2016. "Who Benefits Most from SNAP?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236648, Agricultural and Applied Economics Association.
    14. Joan Costa-Font & Sergi Jiménez-Martín & Cristina Vilaplana-Prieto, 2016. "Thinking of Incentivizing Care? The Effect of Demand Subsidies on Informal Caregiving and Intergenerational Transfers," Working Papers 2016-08, FEDEA.
    15. Islam, Nizamul & Liégeois, Philippe & Berger, Frederic, 2010. "Discrete choice modelling of labour supply in Luxembourg through EUROMOD microsimulation," EUROMOD Working Papers EM5/10, EUROMOD at the Institute for Social and Economic Research.
    16. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    17. Deb, Partha & Gallo, William T. & Ayyagari, Padmaja & Fletcher, Jason M. & Sindelar, Jody L., 2011. "The effect of job loss on overweight and drinking," Journal of Health Economics, Elsevier, vol. 30(2), pages 317-327, March.
    18. Timothy J. Halliday, 2008. "Heterogeneity, state dependence and health," Econometrics Journal, Royal Economic Society, vol. 11(3), pages 499-516, November.
    19. Urwin, Sean & Lau, Yiu-Shing & Grande, Gunn & Sutton, Matt, 2021. "The extent and predictors of discrepancy between provider and recipient reports of informal caregiving," Social Science & Medicine, Elsevier, vol. 277(C).
    20. James Gaughan & Hugh Gravelle & Luigi Siciliani, 2014. "Testing the bed-blocking hypothesis: does higher supply of nursing and care homes reduce delayed hospital discharges?," Working Papers 102cherp, Centre for Health Economics, University of York.
    21. Jesus M. Carro & Alejandra Traferri, 2014. "State Dependence And Heterogeneity In Health Using A Bias‐Corrected Fixed‐Effects Estimator," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 181-207, March.

    More about this item

    Keywords

    Informal care; Great recession; Unobserved heterogeneity;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

    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:kap:ijhcfe:v:22:y:2022:i:4:d:10.1007_s10754-022-09325-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.