IDEAS home Printed from https://ideas.repec.org/a/bbl/journl/v26y2023i1p45-64.html
   My bibliography  Save this article

Differences and Similarities in Patterns of Ageing Society in the European Union

Author

Listed:
  • Denisa Kocanova

    (Technical University of Kosice)

  • Viliam Kovac

    (Technical University of Kosice)

  • Vitaliy Serzhanov

    (Uzhhorod National University)

  • Jan Buleca

    (Technical University of Kosice)

Abstract

Population ageing is a demographic issue that emphasises the need to be interested in the lives of the most vulnerable population group: the elderly population. The paper investigates the ageing process and their relations among the European Union member countries from 2009 to 2019. These countries are assessed and dispersed to the appropriate clusters according to several indicators related to the areas that affect the lives of the elderly population: namely, the health status, the labour market conditions, and financial security. The focus is on the age group 55 years and over as it is a disadvantaged age group in the job application process regarding ageing society. It is a significant aspect of public finance system. The European Union Statistics on Income and Living Conditions, the Labour Force Survey, and the European System of Integrated Social Protection Statistics data are involved. The quantitative approaches are applied in the cluster analysis and followed by the panel data linear regression analysis. The dendrograms visualise the three clusters representing the mutual relations and the ageing patterns among the explored countries. The heat maps are created to prove the potential relations among the observed countries. The panel regression model demonstrates that the three variables – part-time employment, the income inequality, and the material and social deprivation – are statistically significant in all the regression models for the whole area and the three clusters. The analytical outcome could be applied as a valuable resource to government and national representatives. It can help identify the objectionable determinants for a custom policy and implement appropriate measures to improve the situation of the elderly population.

Suggested Citation

  • Denisa Kocanova & Viliam Kovac & Vitaliy Serzhanov & Jan Buleca, 2023. "Differences and Similarities in Patterns of Ageing Society in the European Union," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, vol. 26(1), pages 45-64, March.
    • Handle: RePEc:bbl:journl:v:26:y:2023:i:1:p:45-64
    DOI: 10.15240/tul/001/2023-1-003
    as

    Download full text from publisher

    File URL: https://doi.org/10.15240/tul/001/2023-1-003
    Download Restriction: no
    File URL: https://libkey.io/10.15240/tul/001/2023-1-003?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. Laun, Lisa, 2017. "The effect of age-targeted tax credits on labor force participation of older workers," Journal of Public Economics, Elsevier, vol. 152(C), pages 102-118.
    2. Glenn Milligan, 1981. "A monte carlo study of thirty internal criterion measures for cluster analysis," Psychometrika, Springer;The Psychometric Society, vol. 46(2), pages 187-199, June.
    3. Lyons, Angela C. & Grable, John E. & Joo, So-Hyun, 2018. "A cross-country analysis of population aging and financial security," The Journal of the Economics of Ageing, Elsevier, vol. 12(C), pages 96-117.
    4. Erich Striessnig & Wolfgang Lutz, 2013. "Can below-replacement fertility be desirable?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(3), pages 409-425, August.
    5. Warren C. Sanderson & Sergei Scherbov, 2015. "Are We Overly Dependent on Conventional Dependency Ratios?," Population and Development Review, The Population Council, Inc., vol. 41(4), pages 687-708, December.
    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. Ediev, Dalkhat M. & Sanderson, Warren C. & Scherbov, Sergei, 2019. "The inverse relationship between life expectancy-induced changes in the old-age dependency ratio and the prospective old-age dependency ratio," Theoretical Population Biology, Elsevier, vol. 125(C), pages 1-10.
    2. Johan Gustafsson, 2021. "Age-Targeted Income Taxation, Labor Supply, and Retirement," CESifo Working Paper Series 8988, CESifo.
    3. Kryštof Zeman & Eva Beaujouan & Zuzanna Brzozowska & Tomáš Sobotka, 2018. "Cohort fertility decline in low fertility countries: Decomposition using parity progression ratios," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(25), pages 651-690.
    4. Friehe, Tim & Pannenberg, Markus, 2019. "Overconfidence over the lifespan: Evidence from Germany," Journal of Economic Psychology, Elsevier, vol. 74(C).
    5. du Jardin, Philippe & Séverin, Eric, 2010. "Dynamic analysis of the business failure process: A study of bankruptcy trajectories," MPRA Paper 44379, University Library of Munich, Germany.
    6. Malkova, Olga, 2020. "Did Soviet elderly employment respond to financial incentives? Evidence from pension reforms," Journal of Public Economics, Elsevier, vol. 182(C).
    7. Amalia Cristescu, 2019. "The Impact Of The Aging Population On The Sustainability Of Public Finances," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 13(2), pages 52-67, DECEMBER.
    8. Johnsen, Julian V. & Willén, Alexander, 2022. "The effect of negative income shocks on pensioners," Labour Economics, Elsevier, vol. 76(C).
    9. Dario Bruzzese & Domenico Vistocco, 2015. "DESPOTA: DEndrogram Slicing through a PemutatiOn Test Approach," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 285-304, July.
    10. Heo, Ye Jin, 2022. "Population aging and house prices: Who are we calling old?," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    11. du Jardin, Philippe & Séverin, Eric, 2011. "Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model," MPRA Paper 44262, University Library of Munich, Germany.
    12. Chiara Costi, 2022. "Health and quality of life in aging populations: A structural equation modeling approach," French Stata Users' Group Meetings 2022 11, Stata Users Group.
    13. Philippe Jardin, 2021. "Forecasting bankruptcy using biclustering and neural network-based ensembles," Annals of Operations Research, Springer, vol. 299(1), pages 531-566, April.
    14. Wolfgang Lutz, 2014. "A Population Policy Rationale for the Twenty-First Century," Population and Development Review, The Population Council, Inc., vol. 40(3), pages 527-544, September.
    15. Hendrik P. van Dalen & Kène Henkens, 2021. "When is fertility too low or too high? Population policy preferences of demographers around the world," Population Studies, Taylor & Francis Journals, vol. 75(2), pages 289-303, May.
    16. Miguel Lorca, 2021. "Effects of COVID‐19 early release of pension funds: The case of Chile," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(4), pages 903-936, December.
    17. Bíró,Anikó & Branyiczki,Réka & Lindner,Attila & Márk,Lili & Prinz,Daniel, 2022. "Firm Heterogeneity and the Impact of Payroll Taxes," Policy Research Working Paper Series 10265, The World Bank.
    18. Kashnitsky, Ilya & de Beer, Joop & van Wissen, Leo, 2017. "Decomposition of regional convergence in population aging across Europe," OSF Preprints ykqbv, Center for Open Science.
    19. Lisa Laun & Mårten Palme, 2018. "The Recent Rise of Labor Force Participation of Older Workers in Sweden," NBER Chapters, in: Social Security Programs and Retirement around the World: Working Longer, pages 231-265, National Bureau of Economic Research, Inc.
    20. Laun, Lisa, 2019. "In-work benefits across Europe," Working Paper Series 2019:16, IFAU - Institute for Evaluation of Labour Market and Education Policy.

    More about this item

    Keywords

    Ageing; life expectancy; cluster analysis; regression analysis; European Union;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

    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:bbl:journl:v:26:y:2023:i:1:p:45-64. 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: Vendula Pospisilova (email available below). General contact details of provider: https://edirc.repec.org/data/hflibcz.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.