IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/halshs-01955515.html
   My bibliography  Save this paper

Computations of French Lifetables by Département

Author

Listed:
  • Florian Bonnet

    (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, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, UP1 UFR02 - Université Paris 1 Panthéon-Sorbonne - École d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne)

Abstract

Debates concerning the territorial divide in France are deep. To bring a contribution to this issue, I compute the departmental lifetables since 1901, for both men and women. In this paper, I present the raw data collected to do so, namely yearly births and deaths by age as well as population by age at each census carried out during the 20th century. I add statistics according to military mortality and mortality in deportation to cover the periods of the Two World Wars. I also present the methods I use to compute these lifetables, which come mainly from the Human Mortality Database protocol. I revise this protocol to take into account the specificities of French departmental data, mainly the few changes in French departmental boundaries, the underestimation of infant mortality and the lack of raw data homogeneity. This new database complements a still limited supply of long-term mortality statistics computed at local level.

Suggested Citation

  • Florian Bonnet, 2018. "Computations of French Lifetables by Département," Working Papers halshs-01955515, HAL.
  • Handle: RePEc:hal:wpaper:halshs-01955515
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01955515
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-01955515/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Wilmoth & Shiro Horiuchi, 1999. "Rectangularization revisited: Variability of age at death within human populations," Demography, Springer;Population Association of America (PAA), vol. 36(4), pages 475-495, November.
    2. Siu Cheung & Jean-Marie Robine & Edward Tu & Graziella Caselli, 2005. "Three dimensions of the survival curve: horizontalization, verticalization, and longevity extension," Demography, Springer;Population Association of America (PAA), vol. 42(2), pages 243-258, May.
    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. Florian Bonnet & Hippolyte d'Albis & Aurélie Sotura, 2020. "Les inégalités de revenu entre les départements français depuis cent ans," Working Papers halshs-02536856, HAL.
    2. 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.
    3. Florian Bonnet, 2019. "Beyond the Exodus of May-June 1940: Internal Flows of Refugees in France during the Second World War," Working Papers halshs-02134214, HAL.

    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. Duncan Gillespie & Meredith Trotter & Shripad Tuljapurkar, 2014. "Divergence in Age Patterns of Mortality Change Drives International Divergence in Lifespan Inequality," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 1003-1017, June.
    2. Graziella Caselli & Marc Luy, 2013. "Determinants of unusual and differential longevity: an introduction," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 11(1), pages 1-13.
    3. Matthias Börger & Martin Genz & Jochen Ruß, 2018. "Extension, Compression, and Beyond: A Unique Classification System for Mortality Evolution Patterns," Demography, Springer;Population Association of America (PAA), vol. 55(4), pages 1343-1361, August.
    4. Zhen Zhang & James W. Vaupel, 2009. "The age separating early deaths from late deaths," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(29), pages 721-730.
    5. Patrick Meyer & Gregory Ponthiere, 2020. "Human lifetime entropy in a historical perspective (1750–2014)," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 14(1), pages 129-167, January.
    6. Michal Engelman & Vladimir Canudas‐Romo & Emily M. Agree, 2010. "The Implications of Increased Survivorship for Mortality Variation in Aging Populations," Population and Development Review, The Population Council, Inc., vol. 36(3), pages 511-539, September.
    7. Alyson Raalte & Hal Caswell, 2013. "Perturbation Analysis of Indices of Lifespan Variability," Demography, Springer;Population Association of America (PAA), vol. 50(5), pages 1615-1640, October.
    8. Dalkhat M. Ediev, 2013. "Decompression of Period Old-Age Mortality: When Adjusted for Bias, the Variance in the Ages at Death Shows Compression," Mathematical Population Studies, Taylor & Francis Journals, vol. 20(3), pages 137-154, July.
    9. Konstantinos N. Zafeiris, 2023. "Greece since the 1960s: the mortality transition revisited: a joinpoint regression analysis," Journal of Population Research, Springer, vol. 40(1), pages 1-31, March.
    10. Ryan D. Edwards, 2010. "Trends in World Inequality in Life Span Since 1970," NBER Working Papers 16088, National Bureau of Economic Research, Inc.
    11. Michal Engelman & Hal Caswell & Emily Agree, 2014. "Why do lifespan variability trends for the young and old diverge? A perturbation analysis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(48), pages 1367-1396.
    12. Lucia Zanotto & Vladimir Canudas-Romo & Stefano Mazzuco, 2021. "A Mixture-Function Mortality Model: Illustration of the Evolution of Premature Mortality," European Journal of Population, Springer;European Association for Population Studies, vol. 37(1), pages 1-27, March.
    13. Viorela Diaconu & Nadine Ouellette & Robert Bourbeau, 2020. "Modal lifespan and disparity at older ages by leading causes of death: a Canada-U.S. comparison," Journal of Population Research, Springer, vol. 37(4), pages 323-344, December.
    14. Iñaki Permanyer & Jeroen Spijker & Amand Blanes & Elisenda Renteria, 2018. "Longevity and Lifespan Variation by Educational Attainment in Spain: 1960–2015," Demography, Springer;Population Association of America (PAA), vol. 55(6), pages 2045-2070, December.
    15. A. Roger Thatcher & Siu Lan Karen Cheung & Shiro Horiuchi & Jean-Marie Robine, 2010. "The compression of deaths above the mode," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(17), pages 505-538.
    16. Florian Bonnet, 2018. "Computations of French Lifetables by Département," PSE Working Papers halshs-01955515, HAL.
    17. Bonetti, Marco & Basellini, Ugofilippo & NIGRI, ANDREA, 2023. "The Average Uneven Mortality index: Building on the "e-dagger" measure of lifespan inequality," SocArXiv xb6vq, Center for Open Science.
    18. Hui Zheng & Y. Claire Yang & Kenneth C. Land, 2016. "Age-Specific Variation in Adult Mortality Rates in Developed Countries," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 35(1), pages 49-71, February.
    19. Christina Bohk-Ewald & Marcus Ebeling & Roland Rau, 2017. "Lifespan Disparity as an Additional Indicator for Evaluating Mortality Forecasts," Demography, Springer;Population Association of America (PAA), vol. 54(4), pages 1559-1577, August.
    20. Sergei Scherbov & Dalkhat Ediev, 2016. "Does selection of mortality model make a difference in projecting population ageing?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(2), pages 39-62.

    More about this item

    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:wpaper:halshs-01955515. 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.