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Costa Rican mortality 1950‒2013: An evaluation of data quality and trends compared with other countries

Author

Listed:
  • Dana Glei

    (Georgetown University)

  • Magali Barbieri

    (Institut National d'Études Démographiques (INED))

  • Carolina Santamaría-Ulloa

    (Universidad de Costa Rica)

Abstract

Background: Mortality estimates from various sources suggest that Costa Ricans experience record-high life expectancy at birth in Latin America and higher longevity than the populations of many high-income countries, although there is some uncertainty as to the reliability of those estimates. Objective: We construct a life table series for Costa Rica to assess the quality of national demographic statistics for the period 1950–2013 and to determine whether reliable mortality estimates can be directly calculated from this data. Methods: We apply the methods from the Human Mortality Database (HMD) to national statistics to construct the Costa Rica life table series without adjusting for data quality. We also validate our results through internal consistency by evaluating the plausibility of the mortality patterns and its change over time and through external consistency by comparing our results with those from other sources. Results: Our mortality estimates for Costa Rica tend to be lower than others, especially for the period before 1970. They also produce a suspicious age pattern of mortality, with low adult and old-age mortality relative to the infant and child mortality, casting doubt on the quality of national demographic data. Conclusions: Other organizations have produced mortality estimates for Costa Rica that are higher than our unadjusted estimates, but it is difficult to evaluate the accuracy of the available estimates. Contribution: This analysis provides a more thorough evaluation of data quality issues regarding Costa Rica mortality than previously available. Unadjusted life tables by sex for 1950–2013 are included as supplemental material, together with the raw data upon which those life tables are based and with links to the detailed methods protocol implemented.

Suggested Citation

  • 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.
  • Handle: RePEc:dem:demres:v:40:y:2019:i:29
    DOI: 10.4054/DemRes.2019.40.29
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    References listed on IDEAS

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    1. Luis Rosero-Bixby & William H. Dow, 2009. "Surprising SES Gradients in Mortality, Health, and Biomarkers in a Latin American Population of Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(1), pages 105-117.
    2. Palloni, Alberto & Beltrán-Sánchez, Hiram & Pinto Aguirre, Guido, 2017. "Incertidumbre de los estimadores de mortalidad y pruebas de hipótesis: el caso de América Latina y el Caribe, 1850-2010," Notas de Población, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), June.
    3. Neil Bennett & Shiro Horiuchi, 1984. "Erratum to: Mortality estimation from registered deaths in less developed countries," Demography, Springer;Population Association of America (PAA), vol. 21(4), pages 688-688, November.
    4. 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.
    5. Luis Rosero-Bixby, 2018. "High life expectancy and reversed socioeconomic gradients of elderly people in Mexico and Costa Rica," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(3), pages 95-108.
    6. 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.
    7. Kenneth Hill & Danzhen You & Yoonjoung Choi, 2009. "Death distribution methods for estimating adult mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 21(9), pages 235-254.
    8. Neil Bennett & Shiro Horiuchi, 1984. "Mortality estimation from registered deaths in less developed countries," Demography, Springer;Population Association of America (PAA), vol. 21(2), pages 217-233, May.
    9. Luis Rosero-Bixby, 2008. "The exceptionally high life expectancy of Costa Rican nonagenarians," Demography, Springer;Population Association of America (PAA), vol. 45(3), pages 673-691, August.
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    Cited by:

    1. Dana Glei & Andres Barajas Paz & Jose Manuel Aburto & Magali Barbieri, 2021. "Mexican mortality 1990‒2016: Comparison of unadjusted and adjusted estimates," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(30), pages 719-758.
    2. Queiroz, Bernardo L & Gonzaga, Marcos Roberto & Nogales, Ana Maria & Torrente, Bruno & de Abreu, Daisy Maria Xavier, 2019. "Life expectancy, adult mortality and completeness of death counts in Brazil and regions: comparative analysis of IHME, IBGE and other researchers estimates of levels and trends," OSF Preprints pj3sx, Center for Open Science.
    3. Carl Schmertmann & Bernardo Lanza Queiroz & Marcos Gonzaga, 2024. "Data errors in mortality estimation: Formal demographic analysis of under-registration, under-enumeration, and age misreporting," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 51(9), pages 229-266.
    4. Gupta, Aashish & Mani, Sneha, 2020. "Routes to improved mortality monitoring: Evidence from the Kerala MARANAM Study," SocArXiv jachq, Center for Open Science.
    5. Luis Rosero-Bixby, 2023. "The vanishing advantage of longevity in Nicoya, Costa Rica: A cohort shift," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 49(27), pages 723-736.

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    More about this item

    Keywords

    mortality; life expectancy; life tables; Costa Rica; data quality; comparative analysis; evaluation;
    All these keywords.

    JEL classification:

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

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