IDEAS home Printed from https://ideas.repec.org/p/hal/cesptp/halshs-00768889.html
   My bibliography  Save this paper

Age groups and the Measure of Population Aging

Author

Listed:
  • Hippolyte d'Albis

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Fabrice Collard

    (UNIBE - Universität Bern / University of Bern)

Abstract

This paper proposes the use of optimal grouping methods for determining the various age groups within a population. The cutoff ages for these groups, such as the age from wich an individual is considered to be an older person, are then endogenous variables that depend on the entire population age distribution at any given moment. This method is applied to the age distributions of some industrialized countries, for which cutoff ages as well as the main indicators of aging are calculated over the last 50 years.

Suggested Citation

  • Hippolyte d'Albis & Fabrice Collard, 2012. "Age groups and the Measure of Population Aging," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00768889, HAL.
    • Handle: RePEc:hal:cesptp:halshs-00768889
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00768889
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-00768889/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joan Esteban & Carlos Gradín & Debraj Ray, 2007. "An Extension of a Measure of Polarization, with an application to the income distribution of five OECD countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 1-19, April.
    2. Georges de Menil & Robert Fenge & Pierre Pestieau, 2008. "Pension Strategies in Europe and the United States," Post-Print halshs-00754865, HAL.
    3. repec:dau:papers:123456789/11049 is not listed on IDEAS
    4. Warren C. Sanderson & Sergei Scherbov, 2007. "A new perspective on population aging," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 16(2), pages 27-58.
    5. C. Chu, 1997. "Age-distribution dynamics and aging indexes," Demography, Springer;Population Association of America (PAA), vol. 34(4), pages 551-563, November.
    6. Foster, James E & Shorrocks, Anthony F, 1988. "Poverty Orderings," Econometrica, Econometric Society, vol. 56(1), pages 173-177, January.
    7. Robert Fenge & Georges de Ménil & Pierre Pestieau (ed.), 2008. "Pension Strategies in Europe and the United States," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262062720, December.
    8. Foster, James E. & Shorrocks, Anthony F., 1988. "Inequality and poverty orderings," European Economic Review, Elsevier, vol. 32(2-3), pages 654-661, March.
    9. Warren C. Sanderson & Sergei Scherbov, 2005. "Average remaining lifetimes can increase as human populations age," Nature, Nature, vol. 435(7043), pages 811-813, June.
    10. Auerbach,Alan J. & Lee,Ronald D. (ed.), 2001. "Demographic Change and Fiscal Policy," Cambridge Books, Cambridge University Press, number 9780521662444.
    11. Le Grand, Julian, 1987. "Inequalities in health : Some international comparisons," European Economic Review, Elsevier, vol. 31(1-2), pages 182-191.
    12. Joaquim Oliveira Martins & Frédéric Gonand & Pablo Antolín & Christine de la Maisonneuve & Kwang-Yeol Yoo, 2005. "The Impact of Ageing on Demand, Factor Markets and Growth," OECD Economics Department Working Papers 420, OECD Publishing.
    13. Davies, J. B. & Shorrocks, A. F., 1989. "Optimal grouping of income and wealth data," Journal of Econometrics, Elsevier, vol. 42(1), pages 97-108, September.
    14. Ambra Poggi, 2005. "Endogenous population subgroups: the best population partition and optimal number of groups," Working Papers wpdea0508, Department of Applied Economics at Universitat Autonoma of Barcelona.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roberta Paroli & Guido Consonni & Alessandro Rosina, 2020. "The Measure of Population Aging in Different Welfare Regimes: A Bayesian Dynamic Modeling Approach," European Journal of Population, Springer;European Association for Population Studies, vol. 36(2), pages 363-385, April.
    2. Hippolyte d'Albis & Ikpidi Badji, 2017. "Les inégalités de niveaux de vie entre les générations en France," Post-Print halshs-01524882, HAL.
    3. Hippolyte d’Albis & Ikpidi Badji, 2017. "Intergenerational inequalities in standards of living in France," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 491-492, pages 71-92.
    4. Florian Bonnet & Hippolyte d'Albis, 2020. "Spatial Inequality in Mortality in France over the Past Two Centuries," Population and Development Review, The Population Council, Inc., vol. 46(1), pages 145-168, March.
    5. Douglas, Evan J. & Shepherd, Dean A. & Venugopal, Vidhula, 2021. "A multi-motivational general model of entrepreneurial intention," Journal of Business Venturing, Elsevier, vol. 36(4).
    6. Hippolyte d'Albis & Fabrice Collard, 2013. "Age groups and the measure of population aging," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(23), pages 617-640.
    7. N Renuga Nagarajan & Mineko Wada & Mei Lan Fang & Andrew Sixsmith, 2019. "Defining organizational contributions to sustaining an ageing workforce: a bibliometric review," European Journal of Ageing, Springer, vol. 16(3), pages 337-361, September.
    8. Ghassan, Hassan & Alhajhoj, Hassan R. & Balli, Faruk, 2018. "Bi-Demographic Changes and Current Account using SVAR Modeling: Evidence from Saudi Arabia," MPRA Paper 93013, University Library of Munich, Germany, revised 01 Feb 2019.
    9. Hassan Belkacem Ghassan & Hassan Rafdan Al-Hajhoj & Faruk Balli, 2019. "Bi-Demographic Changes and Current Account using SVAR Modeling: Evidence from Saudi Economy," Working Papers hal-01742574, HAL.
    10. Hassan B. Ghassan & Hassan R. Al-Hajhoj & Faruk Balli, 2018. "Bi-Demographic Changes and Current Account using SVAR Modeling," Papers 1803.11161, arXiv.org, revised Mar 2019.

    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. Hippolyte d'Albis & Fabrice Collard, 2013. "Age groups and the measure of population aging," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(23), pages 617-640.
    2. Michael P. Cameron, 2023. "The measurement of structural ageing – an axiomatic approach," Journal of Population Research, Springer, vol. 40(1), pages 1-22, March.
    3. Allanson, Paul & Hubbard, Lionel, 1999. "On the Comparative Evaluation of Agricultural Income Distributions in the European Union," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 26(1), pages 1-17, March.
    4. Duclos, Jean-Yves & Sahn, David & Younger, Stephen D., 2003. "Polarization: Robust Multidimensional Poverty Comparisons," Cahiers de recherche 0304, CIRPEE.
    5. Teixidó-Figueras, J. & Duro, J.A., 2014. "Spatial Polarization of the Ecological Footprint Distribution," Ecological Economics, Elsevier, vol. 104(C), pages 93-106.
    6. Christophe Muller & Asha Kannan & Roland Alcindor, 2016. "Multidimensional Poverty in Seychelles," Working Papers halshs-01264444, HAL.
    7. Ravallion, Martin & Chen, Shaohua, 2003. "Measuring pro-poor growth," Economics Letters, Elsevier, vol. 78(1), pages 93-99, January.
    8. Valenzuela, Maria Rebecca & Wong, Wing-Keung & Zhen, Zhu Zhen, 2017. "Income and Consumption Inequality in the Philippines: A Stochastic Dominance Analysis of Household Unit Records," ADBI Working Papers 662, Asian Development Bank Institute.
    9. Higgins, Sean & Lustig, Nora, 2016. "Can a poverty-reducing and progressive tax and transfer system hurt the poor?," Journal of Development Economics, Elsevier, vol. 122(C), pages 63-75.
    10. John A. Bishop & Lester A. Zeager, 1990. "Constructing Poverty Rankings For State Subregions: A Case Study Of North Carolina," The Review of Regional Studies, Southern Regional Science Association, vol. 20(2), pages 24-33, Spring.
    11. Sarris, Alexander H. & Tinios, Platon, 1995. "Consumption and poverty in Tanzania in 1976 and 1991: A comparison using survey data," World Development, Elsevier, vol. 23(8), pages 1401-1419, August.
    12. Valerio Mendoza, Octasiano Miguel & Borsi, Mihály Tamás & Comim, Flavio, 2022. "Human capital dynamics in China: Evidence from a club convergence approach," Journal of Asian Economics, Elsevier, vol. 79(C).
    13. Edwin Fourrier-Nicolaï & Michel Lubrano, 2020. "Bayesian inference for TIP curves: an application to child poverty in Germany," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 91-111, March.
    14. Yitzhaki, Shlomo, 2002. "Do we need a separate poverty measurement?," European Journal of Political Economy, Elsevier, vol. 18(1), pages 61-85, March.
    15. Hans Fehr, 2009. "Computable Stochastic Equilibrium Models and Their Use in Pension- and Ageing Research," De Economist, Springer, vol. 157(4), pages 359-416, December.
    16. Miguel Szekely & Nora Lustig & Martin Cumpa & Jose Antonio Mejia, 2004. "Do we know how much poverty there is?," Oxford Development Studies, Taylor & Francis Journals, vol. 32(4), pages 523-558.
    17. Gordon Anderson & Teng Wah Leo, 2014. "Ranking Alternative Non-Combinable Prospects: A Stochastic Dominance Based Route to the Second Best Solution," Working Papers tecipa-520, University of Toronto, Department of Economics.
    18. Joachim Ragnitz & Stefan Eichler & Beate Henschel & Harald Lehmann & Carsten Pohl & Lutz Schneider & Helmut Seitz & Marcel Thum, 2007. "Die demographische Entwicklung in Ostdeutschland : Gutachten im Auftrag des Bundesministeriums für Wirtschaft und Technologie," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 41.
    19. Sırma Şeker & Stephen Jenkins, 2015. "Poverty trends in Turkey," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(3), pages 401-424, September.
    20. Daniela Craveiro & Isabel Tiago de Oliveira & Maria Cristina Sousa Gomes & Jorge Malheiros & Maria João Guardado Moreira & João Peixoto, 2019. "Back to replacement migration: A new European perspective applying the prospective-age concept," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(45), pages 1323-1344.

    More about this item

    Keywords

    Population aging; age distributions; aging indexes; optimal grouping; old age; demographic measures; Vieillissement de la population; distributions par âge; indicateurs de vieillissement; groupement optimal; vieillesses; indicateurs démographiques;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    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:hal:cesptp:halshs-00768889. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.