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Estimating the underlying infant mortality rates for small populations: an historical study of US counties in 1970

Author

Listed:
  • David A. Swanson

    (University of California Riverside)

  • Jack Baker

    (HealthFitness Corporation)

Abstract

A method is presented for estimating the “underlying” infant mortality rates for areas with small populations. It is described and illustrated in a case study that estimates infant mortality rates for 2494 US counties that had less than 1000 births in 1970. The method’s validity is tested using a synthetic population in the form of a simulated data set generated from a model life table infant mortality rate, representing Level 23 of the West Family Model Life Table for both sexes. The test indicates that the method is capable of producing estimates that represent underlying rates. Although some judgment is needed with the method, it has sufficient transparency that estimates can be replicated. The results support the argument that the method can produce reasonable estimates of underlying infant mortality rates for small populations subject to high levels of stochastic variation.

Suggested Citation

  • David A. Swanson & Jack Baker, 2019. "Estimating the underlying infant mortality rates for small populations: an historical study of US counties in 1970," Journal of Population Research, Springer, vol. 36(3), pages 233-244, September.
    • Handle: RePEc:spr:joprea:v:36:y:2019:i:3:d:10.1007_s12546-019-09225-w
    DOI: 10.1007/s12546-019-09225-w
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    References listed on IDEAS

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    1. C. Chatfield & G. J. Goodhardt, 1970. "The Beta‐Binomial Model for Consumer Purchasing Behaviour," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 19(3), pages 240-250, November.
    2. Jack Baker & Adélamar Alcantara & Xiaomin Ruan, 2011. "A Stochastic Version of the Brass PF Ratio Adjustment of Age-Specific Fertility Schedules," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-13, August.
    3. Michel Guillot & So-jung Lim & Liudmila Torgasheva & Mikhail Denisenko, 2013. "Infant mortality in Kyrgyzstan before and after the break-up of the Soviet Union," Population Studies, Taylor & Francis Journals, vol. 67(3), pages 335-352, November.
    4. Jonas Kinge & Tom Kornstad, 2014. "Assimilation effects on infant mortality among immigrants in Norway: Does maternal source country matter?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(26), pages 779-812.
    5. Alice Chen & Emily Oster & Heidi Williams, 2016. "Why Is Infant Mortality Higher in the United States Than in Europe?," American Economic Journal: Economic Policy, American Economic Association, vol. 8(2), pages 89-124, May.
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