IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/hxy7d.html
   My bibliography  Save this paper

Exploring the Demographic History of Populations with Enhanced Lexis Surfaces

Author

Listed:
  • Cimentada, Jorge
  • Klüsener, Sebastian
  • Riffe, Tim

Abstract

Lexis surfaces are widely used to analyze demographic trends across periods, ages, and birth cohorts. When used to visualize rates or similar, these plots usually do not convey information about population size. The failure to communicate population size in Lexis surfaces can lead to misinterpretations of the mortality conditions populations face because, for example, high mortality rates at very high ages have historically been experienced by only a small proportion of a population or cohort. We propose enhanced Lexis surfaces that include a visual representation of population size. The examples we present demonstrate how such plots can give readers a more intuitive understanding of the demographic development of a population over time. Visualizations are implemented using an R-Shiny application, building upon perception theories. We present example plots for enhanced Lexis surfaces that show trends in cohort mortality and first-order differences in cohort mortality developments. These plots illustrate how adding the cohort size dimension allows us to extend the analytical potential of standard Lexis surfaces. Our enhanced Lexis surfaces improve conventional depictions of period, age, and cohort trends in demographic developments of populations and cohorts. An online interactive visualization tool based on Human Mortality Database data allows users to generate and export enhanced Lexis surfaces for their research. The R code to generate the application (and a link to the deployed application) can be accessed at https://github.com/cimentadaj/lexis_plot.

Suggested Citation

  • Cimentada, Jorge & Klüsener, Sebastian & Riffe, Tim, 2019. "Exploring the Demographic History of Populations with Enhanced Lexis Surfaces," SocArXiv hxy7d, Center for Open Science.
    • Handle: RePEc:osf:socarx:hxy7d
    DOI: 10.31219/osf.io/hxy7d
    as

    Download full text from publisher

    File URL: https://osf.io/download/5c78ef6562c82a0019df2bb0/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/hxy7d?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. Christophe Vandeschrick, 2001. "The Lexis diagram, a misnomer," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 4(3), pages 97-124.
    2. Jonas Schöley & Frans Willekens, 2017. "Visualizing compositional data on the Lexis surface," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(21), pages 627-658.
    3. Camarda, Carlo G., 2012. "MortalitySmooth: An R Package for Smoothing Poisson Counts with P-Splines," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(i01).
    4. Guillaume Vandenbroucke, 2014. "Fertility and Wars: The Case of World War I in France," American Economic Journal: Macroeconomics, American Economic Association, vol. 6(2), pages 108-136, April.
    5. Easterlin, Richard A., 1987. "Birth and Fortune," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226180328, September.
    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. Jorge Cimentada & Sebastian Kluesener & Tim Riffe, 2020. "Exploring the demographic history of populations with enhanced Lexis surfaces," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(6), pages 149-164.
    2. Larry Jones & Alice Schoonbrodt, 2016. "Baby Busts and Baby Booms: The Fertility Response to Shocks in Dynastic Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 157-178, October.
    3. Ilya Kashnitsky & Jose Manuel Aburto, 2019. "Geofaceting: Aligning small-multiples for regions in a spatially meaningful way," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(17), pages 477-490.
    4. Radoslaw (Radek) Stefanski & Alex Trew, 2021. "Selection, Patience, and the Interest Rate (updated 2023)," Working Papers 2020_03, Business School - Economics, University of Glasgow.
    5. Jeremy Greenwood & Nezih Guner & Guillaume Vandenbroucke, 2017. "Family Economics Writ Large," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1346-1434, December.
    6. Zsolt Spéder & Balázs Kapitány, 2009. "How are Time-Dependent Childbearing Intentions Realized? Realization, Postponement, Abandonment, Bringing Forward," European Journal of Population, Springer;European Association for Population Studies, vol. 25(4), pages 503-523, November.
    7. Diane J. Macunovich, 1999. "The fortunes of one's birth: Relative cohort size and the youth labor market in the United States," Journal of Population Economics, Springer;European Society for Population Economics, vol. 12(2), pages 215-272.
    8. Apolte, Thomas & Gerling, Lena, 2015. "Youth bulges, insurrections, and politico-economic institutions: Theory and empirical evidence," CIW Discussion Papers 3/2015, University of Münster, Center for Interdisciplinary Economics (CIW).
    9. Baruce C. Rudy, 2014. "The Wal-Mart Effect? Exploring the Social Costs of Explosive Organizational Growth," Working Papers 0191mgmt, College of Business, University of Texas at San Antonio.
    10. Jeremy Greenwood & Nezih Guner & Karen A. Kopecky, 2019. "The Wife's Protector: A Quantitative Theory Linking Contraceptive Technology with the Decline in Marriage," Working Papers wp2019_1912, CEMFI.
    11. Robert Stelter & David de la Croix & Mikko Myrskylä, 2020. "Leaders And Laggards In Life Expectancy Among European Scholars From The Sixteenth To The Early Twentieth Century," LIDAM Discussion Papers IRES 2020024, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    12. Breen, Casey & Goldstein, Joshua R., 2022. "Berkeley Unified Numident Mortality Database: Public Administrative Records for Individual-Level Mortality Research," SocArXiv pc294, Center for Open Science.
    13. Dahlberg, Susanne & Nahum, Ruth-Aïda, 2003. "Cohort Effects on Earnings Profiles: Evidence from Sweden," Arbetsrapport 2003:3, Institute for Futures Studies.
    14. Ahbab Mohammad Fazle Rabbi & Stefano Mazzuco, 2021. "Mortality Forecasting with the Lee–Carter Method: Adjusting for Smoothing and Lifespan Disparity," European Journal of Population, Springer;European Association for Population Studies, vol. 37(1), pages 97-120, March.
    15. Timothy Riffe & Jonas Schöley & Francisco Villavicencio, 2015. "A unified framework of demographic time," MPIDR Working Papers WP-2015-008, Max Planck Institute for Demographic Research, Rostock, Germany.
    16. Robert O’Brien, 2014. "Estimable functions in age-period-cohort models: a unified approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 457-474, January.
    17. Mark Rank & Thomas Hirschl, 1993. "The link between population density and welfare participation," Demography, Springer;Population Association of America (PAA), vol. 30(4), pages 607-622, November.
    18. Arnstein Aassve & Francesco C. Billari & Zsolt Spéder, 2006. "Societal Transition, Policy Changes and Family Formation: Evidence from Hungary," European Journal of Population, Springer;European Association for Population Studies, vol. 22(2), pages 127-152, June.
    19. Enrique Acosta & Alain Gagnon & Nadine Ouellette & Robert R. Bourbeau & Marilia R. Nepomuceno & Alyson A. van Raalte, 2020. "The boomer penalty: excess mortality among baby boomers in Canada and the United States," MPIDR Working Papers WP-2020-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    20. Jan Van Bavel, 2014. "The mid-twentieth century Baby Boom and the changing educational gradient in Belgian cohort fertility," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(33), pages 925-962.

    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:osf:socarx:hxy7d. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.