IDEAS home Printed from https://ideas.repec.org/a/dem/demres/v11y2004i9.html
   My bibliography  Save this article

A Method for Estimating Size of Population Aged 90 and over with Application to the U.S. Census 2000 Data

Author

Listed:
  • Kirill F. Andreev

    (United Nations)

Abstract

In many countries population estimates are unreliable at higher ages. In this article a method for producing an independent estimate of population aged 90+ from data on deaths and population estimates at lower ages is developed. The method builds on an indirect mortality estimate from deaths only and on an estimate of rate of mortality change. Theoretical foundation and bias expected on application of this procedure to the real data are discussed as well. Testing of this method on accurate demographic data shows its superiority over available procedures. The method has been applied to the evaluation of size of population 90+ in the census 2000 of the United States. The results show a high degree of agreement between two estimates, but the possibility of slight overestimation of males in census data cannot be completely ruled out. To facilitate the application of this method, a computer program is provided as well.

Suggested Citation

  • Kirill F. Andreev, 2004. "A Method for Estimating Size of Population Aged 90 and over with Application to the U.S. Census 2000 Data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 11(9), pages 235-262.
  • Handle: RePEc:dem:demres:v:11:y:2004:i:9
    DOI: 10.4054/DemRes.2004.11.9
    as

    Download full text from publisher

    File URL: https://www.demographic-research.org/volumes/vol11/9/11-9.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.4054/DemRes.2004.11.9?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. A. Roger Thatcher & Väinö Kannisto & Kirill F. Andreev, 2002. "The Survivor Ratio Method for Estimating Numbers at High Ages," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 6(1), pages 1-18.
    2. Irma Elo & Samuel Preston, 1994. "Estimating African-American mortality from inaccurate data," Demography, Springer;Population Association of America (PAA), vol. 31(3), pages 427-458, August.
    3. repec:cai:popine:popu_p1951_6n2_0204 is not listed on IDEAS
    4. Mark Hill & Samuel Preston & Ira Rosenwaike, 2000. "Age reporting among white Americans aged 85+: Results of a record linkage study," Demography, Springer;Population Association of America (PAA), vol. 37(2), pages 175-186, 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. Soumaïla Ouedraogo, 2020. "Estimation of older adult mortality from imperfect data: A comparative review of methods using Burkina Faso censuses," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(38), pages 1119-1154.

    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. Cook, Lisa D. & Logan, Trevon D. & Parman, John M., 2016. "The mortality consequences of distinctively black names," Explorations in Economic History, Elsevier, vol. 59(C), pages 114-125.
    2. Dmitri A. Jdanov & Rembrandt D. Scholz & Vladimir M. Shkolnikov, 2005. "Official population statistics and the Human Mortality Database estimates of populations aged 80+ in Germany and nine other European countries," MPIDR Working Papers WP-2005-010, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. Dana Glei & Magali Barbieri & Carolina Santamaría-Ulloa, 2019. "Costa Rican mortality 1950‒2013: An evaluation of data quality and trends compared with other countries," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(29), pages 835-864.
    4. Soumaïla Ouedraogo, 2020. "Estimation of older adult mortality from imperfect data: A comparative review of methods using Burkina Faso censuses," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(38), pages 1119-1154.
    5. Marilia Miranda Fortes Gomes & Cássio M. Turra, 2009. "The number of centenarians in Brazil: Indirect estimates based on death certificates," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(20), pages 495-502.
    6. Dmitri A. Jdanov & Domantas Jasilionis & Eugeny L. Soroko & Roland Rau & James W. Vaupel, 2008. "Beyond the Kannisto-Thatcher Database on Old Age Mortality: an assessment of data quality at advanced ages," MPIDR Working Papers WP-2008-013, Max Planck Institute for Demographic Research, Rostock, Germany.
    7. Dmitri A. Jdanov & Rembrandt D. Scholz & Vladimir Shkolnikov, 2005. "Official population statistics and the Human Mortality Database estimates of populations aged 80+ in Germany and nine other European countries," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(14), pages 335-362.
    8. Yi Zeng & James W. Vaupel, 2003. "Oldest Old Mortality in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 8(7), pages 215-244.
    9. John Parman, "undated". "Gender and Intergenerational Mobility: Using Health Outcomes to Compare Intergenerational Mobility Across Gender and Over Time," Working Papers 122, Department of Economics, College of William and Mary.
    10. Magali Barbieri, 2018. "Investigating the Difference in Mortality Estimates between the Social Security Administration Trustees' Report and the Human Mortality Database," Working Papers wp394, University of Michigan, Michigan Retirement Research Center.
    11. Teresa Ghilarducci & Kyle Moore, 2015. "Racially Disparate Effects of Raising the Retirement Age," SCEPA working paper series. 2015-03, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    12. Andrew Fenelon, 2013. "An examination of black/white differences in the rate of age-related mortality increase," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(17), pages 441-472.
    13. A. Fiori Maccioni & A. Bitinas, 2013. "Lithuanian pension system's reforms following demographic and social transitions," Working Paper CRENoS 201315, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    14. Ferrie, Joseph & Rolf, Karen, 2011. "Socioeconomic status in childhood and health after age 70: A new longitudinal analysis for the U.S., 1895–2005," Explorations in Economic History, Elsevier, vol. 48(4), pages 445-460.
    15. Stéphane Helleringer & Gilles Pison & Almamy Kanté & Géraldine Duthé & Armelle Andro, 2014. "Reporting Errors in Siblings’ Survival Histories and Their Impact on Adult Mortality Estimates: Results From a Record Linkage Study in Senegal," Demography, Springer;Population Association of America (PAA), vol. 51(2), pages 387-411, April.
    16. Bridget Fisher, 2015. "The Myth of Self-Financing: The Trade-Offs Behind the Hudson Yards Redevelopment Project," SCEPA working paper series. 2015-04, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    17. Marília R. Nepomuceno & Cássio M. Turra, 2020. "The Population of Centenarians in Brazil: Historical Estimates from 1900 to 2000," Population and Development Review, The Population Council, Inc., vol. 46(4), pages 813-833, December.
    18. Joseph T. Lariscy, 2017. "Black–White Disparities in Adult Mortality: Implications of Differential Record Linkage for Understanding the Mortality Crossover," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(1), pages 137-156, February.
    19. Catherine G. Massey, 2016. "Playing with Matches: An Assessment of Accuracy in Linked Historical Data," CARRA Working Papers 2016-05, Center for Economic Studies, U.S. Census Bureau.
    20. Trevon Logan & John Parman, 2014. "The Dynamics of African-American Health: A Historical Perspective," The Review of Black Political Economy, Springer;National Economic Association, vol. 41(3), pages 299-318, September.

    More about this item

    Keywords

    census; indirect estimation; data quality; indirect population estimates; indirect mortality estimates; advanced age;
    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:demres:v:11:y:2004:i:9. 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: Editorial Office (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.