IDEAS home Printed from https://ideas.repec.org/a/bla/ijhplm/v37y2022i2p913-929.html
   My bibliography  Save this article

Assessing the impact of diversity and ageing population on health expenditure of United States

Author

Listed:
  • Saqib Amin
  • Ruhamah Yousaf
  • Muhammad Awais Anwar
  • Noman Arshed

Abstract

Background At the biological level, ageing results from a plodding decline in physical and mental capability, an emergent menace of malady, and eventually, fatality. Even though a few of the geriatric's health changes are hereditary, to a great extent is due to individual's physical and societal surroundings and their residence, locality, societies, gender, ethnicity or socio‐economic status. The current debate is well popular by the relationship between increasing diversity and the ageing population with healthcare expenditure in the United States. Higher diversity in society and increasing ageing population have various socio‐economic consequences. A good policy in this regard helpful to managed and get fruitful outcomes. Objective This study aims to examine the direct effects of diversity and ageing population on healthcare spending. The assortment observed in geriatrics is not arbitrary. A huge portion emerges from individual's physical and social settings and the influence of these environs on their prospect and well‐being demeanour. Method This study used the Bayesian‐vector autoregressive model, impulse response analysis, and variance decomposition and data over the period 1990–2018 for empirical analysis of the United States. Results The empirical findings indicate that diversity and ageing population are more persistent with health expenditure in the United States. This study concludes that an increase in diversity and ageing population will rely on the long‐term healthcare facility. Conclusion The study suggests that cohesive society and effective health intervention might aid in curtailing expenditure pressure linked with elderly population. Furthermore, a recommendation of this study is a good opportunity for healthcare policymakers and further researches.

Suggested Citation

  • Saqib Amin & Ruhamah Yousaf & Muhammad Awais Anwar & Noman Arshed, 2022. "Assessing the impact of diversity and ageing population on health expenditure of United States," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(2), pages 913-929, March.
  • Handle: RePEc:bla:ijhplm:v:37:y:2022:i:2:p:913-929
    DOI: 10.1002/hpm.3383
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hpm.3383
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hpm.3383?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. Lopreite, Milena & Mauro, Marianna, 2017. "The effects of population ageing on health care expenditure: A Bayesian VAR analysis using data from Italy," Health Policy, Elsevier, vol. 121(6), pages 663-674.
    2. David Carey, 1999. "Coping with Population Ageing in Australia," OECD Economics Department Working Papers 217, OECD Publishing.
    3. Koop,Gary & Poirier,Dale J. & Tobias,Justin L., 2007. "Bayesian Econometric Methods," Cambridge Books, Cambridge University Press, number 9780521671736, June.
    4. Pedro Pita Barros, 1998. "The black box of health care expenditure growth determinants," Health Economics, John Wiley & Sons, Ltd., vol. 7(6), pages 533-544, September.
    5. Chan,Joshua & Koop,Gary & Poirier,Dale J. & Tobias,Justin L., 2019. "Bayesian Econometric Methods," Cambridge Books, Cambridge University Press, number 9781108423380, November.
    6. Di Matteo, Livio, 2000. "The determinants of the public-private mix in Canadian health care expenditures: 1975-1996," Health Policy, Elsevier, vol. 52(2), pages 87-112, June.
    7. Luca Crivelli & Massimo Filippini & Ilaria Mosca, 2006. "Federalism and regional health care expenditures: an empirical analysis for the Swiss cantons," Health Economics, John Wiley & Sons, Ltd., vol. 15(5), pages 535-541, May.
    8. Louis Kuijs, 2000. "The Impact of Ethnic Heterogeneityon the Quantity and Quality of Public Spending," IMF Working Papers 2000/049, International Monetary Fund.
    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. Caravaggio, Nicola & Resce, Giuliano, 2023. "Enhancing Healthcare Cost Forecasting: A Machine Learning Model for Resource Allocation in Heterogeneous Regions," Economics & Statistics Discussion Papers esdp23090, University of Molise, Department of Economics.
    2. Adnan Haider Bukhari & Safdar Ullah Khan, 2008. "A Small Open Economy DSGE Model for Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(4), pages 963-1008.
    3. Richard S. J. Tol & In Chang Hwang & Frédéric Reynès, 2012. "The Effect of Learning on Climate Policy under Fat-tailed Uncertainty," Working Paper Series 5312, Department of Economics, University of Sussex Business School.
    4. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
    5. Wang, Hong & Forbes, Catherine S. & Fenech, Jean-Pierre & Vaz, John, 2020. "The determinants of bank loan recovery rates in good times and bad – New evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 875-897.
    6. Koenig, Michael & Hsieh, Chih-Sheng & Liu, Xiaodong & Zimmermann, Christian, 2018. "Superstar Economists: Coauthorship networks and research output," CEPR Discussion Papers 13239, C.E.P.R. Discussion Papers.
    7. Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Monica Auteri & Guido Borà, 2017. "La spesa sanitaria delle Regioni in Italia - Saniregio2017," Working Papers CERM 01-2017, Competitività, Regole, Mercati (CERM).
    8. Francesco Furlanetto & Francesco Ravazzolo & Samad Sarferaz, 2019. "Identification of Financial Factors in Economic Fluctuations," The Economic Journal, Royal Economic Society, vol. 129(617), pages 311-337.
    9. Igari, Ryosuke & Hoshino, Takahiro, 2018. "A Bayesian data combination approach for repeated durations under unobserved missing indicators: Application to interpurchase-timing in marketing," Computational Statistics & Data Analysis, Elsevier, vol. 126(C), pages 150-166.
    10. Odusola, Ayodele & Abidoye, Babatunde, "undated". "Effects of Temperature and Rainfall Shocks on Economic Growth in Africa," UNDP Africa Research Discussion Papers 267028, United Nations Development Programme (UNDP).
    11. Marcin Błażejowski & Paweł Kufel & Jacek Kwiatkowski, 2020. "Model simplification and variable selection: A replication of the UK inflation model by Hendry (2001)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 645-652, August.
    12. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    13. Christopher Moore & Daniel Phaneuf & Walter Thurman, 2011. "A Bayesian Bioeconometric Model of Invasive Species Control: The Case of the Hemlock Woolly Adelgid," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 1-26, September.
    14. Blazejowski, Marcin & Kwiatkowski, Jacek, 2020. "Bayesian Model Averaging for Autoregressive Distributed Lag (BMA_ADL) in gretl," MPRA Paper 98387, University Library of Munich, Germany.
    15. Liu, De-Chih & Chang, Yu-Chien, 2022. "Systematic variations in exchange rate returns," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 569-583.
    16. Łyszczarz, Błażej, . "Determinanty wydatków na zdrowie w gospodarstwach domowych w Polsce," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2018(1).
    17. Hasan, Iftekhar & Horvath, Roman & Mares, Jan, 2020. "Finance and wealth inequality," Journal of International Money and Finance, Elsevier, vol. 108(C).
    18. Nikhil Patel, 2016. "International Trade Finance and the Cost Channel of Monetary Policy in Open Economies," BIS Working Papers 539, Bank for International Settlements.
    19. Błażej Łyszczarz, 2018. "Determinanty wydatków na zdrowie w gospodarstwach domowych w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 137-157.
    20. Obryan Poyser, 2017. "Exploring the determinants of Bitcoin's price: an application of Bayesian Structural Time Series," Papers 1706.01437, arXiv.org.

    More about this item

    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:bla:ijhplm:v:37:y:2022:i:2:p:913-929. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0749-6753 .

    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.