IDEAS home Printed from https://ideas.repec.org/p/dem/wpaper/wp-2019-001.html
   My bibliography  Save this paper

Lexis fields

Author

Listed:
  • Timothy Riffe

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • José M. Aburto

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

No abstract is available for this item.

Suggested Citation

  • Timothy Riffe & José M. Aburto, 2019. "Lexis fields," MPIDR Working Papers WP-2019-001, Max Planck Institute for Demographic Research, Rostock, Germany.
  • Handle: RePEc:dem:wpaper:wp-2019-001
    DOI: 10.4054/MPIDR-WP-2019-001
    as

    Download full text from publisher

    File URL: https://www.demogr.mpg.de/papers/working/wp-2019-001.pdf
    Download Restriction: no

    File URL: http://github.com/timriffe/MacroShape/DR
    Download Restriction: no

    File URL: https://libkey.io/10.4054/MPIDR-WP-2019-001?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. 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.
    2. Vladimir Canudas-Romo & Robert Schoen, 2005. "Age-specific contributions to changes in the period and cohort life expectancy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(3), pages 63-82.
    3. Han Lin Shang, 2019. "Visualizing rate of change: an application to age‐specific fertility rates," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(1), pages 249-262, January.
    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. Tim Riffe & Jose Manuel Aburto, 2020. "Lexis fields," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(24), pages 713-726.
    2. Suryakant Yadav, 2021. "Progress of Inequality in Age at Death in India: Role of Adult Mortality," European Journal of Population, Springer;European Association for Population Studies, vol. 37(3), pages 523-550, July.
    3. 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.
    4. Fletcher, Jason M. & Topping, Michael & Joo, Won-tak, 2023. "Trends in the Female Longevity Advantage of 19th-Century Birth Cohorts: Exploring the Role of Place and Fertility," IZA Discussion Papers 16018, Institute of Labor Economics (IZA).
    5. Jonas Schöley, 2021. "The centered ternary balance scheme: A technique to visualize surfaces of unbalanced three-part compositions," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(19), pages 443-458.
    6. Trifon Missov & Adam Lenart, 2011. "Linking period and cohort life-expectancy linear increases in Gompertz proportional hazards models," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(19), pages 455-468.
    7. Søren Kjærgaard & Vladimir Canudas-Romo, 2017. "Potential support ratios: Cohort versus period perspectives," Population Studies, Taylor & Francis Journals, vol. 71(2), pages 171-186, May.
    8. Beata Nowok, 2020. "A visual tool to explore the composition of international migration flows in the EU countries, 1998–2015," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(27), pages 763-776.
    9. Nico Keilman, 2019. "Mortality shifts and mortality compression in period and cohort life tables," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(40), pages 1147-1196.
    10. 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.
    11. 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.
    12. Filipe Costa Souza, 2020. "Relationships between best-practice and greatest possible life expectancies," European Journal of Ageing, Springer, vol. 17(3), pages 331-339, September.
    13. 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.
    14. Phil Mike Jones & Jon Minton & Andrew Bell, 2023. "Methods for disentangling period and cohort changes in mortality risk over the twentieth century: comparing graphical and modelling approaches," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3219-3239, August.
    15. Vladimir Canudas-Romo, 2008. "The modal age at death and the shifting mortality hypothesis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(30), pages 1179-1204.
    16. Vladimir Canudas-Romo, 2010. "Three measures of longevity: Time trends and record values," Demography, Springer;Population Association of America (PAA), vol. 47(2), pages 299-312, May.
    17. Elías, Antonio & Jiménez, Raúl & Shang, Han Lin, 2022. "On projection methods for functional time series forecasting," Journal of Multivariate Analysis, Elsevier, vol. 189(C).
    18. Eckart Bomsdorf & Bernhard Babel, 2008. "The future development of life expectancy in the G7 countries - model computations up to 2050," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(01), pages 21-25, January.
    19. Schöley, Jonas & Kashnitsky, Ilya, 2019. "But Why? Design choices made while creating "Regional population structures at a glance"," OSF Preprints qt47d, Center for Open Science.
    20. Mammen, Enno & Martínez-Miranda, María Dolores & Nielsen, Jens Perch & Vogt, Michael, 2021. "Calendar effect and in-sample forecasting," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 31-52.

    More about this item

    Keywords

    lexis diagram; mortality trends; research methods;
    All these keywords.

    JEL classification:

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

    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:dem:wpaper:wp-2019-001. 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: Peter Wilhelm (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    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.