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Projecting the long run relationship of Multi-population life expectancy by race

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  • A. Ntamjokouen
  • S. Haberman
  • G. Consigli

Abstract

Census data demonstrate that life expectancy has improved over the last 100 years. In this paper, we attempt to predict life expectancy in the USA by both race( black people, white people, and the general population) and gender. In doing this, we employ methods of cointegration analysis that have appeared recently in the actuarial and demography literature. We investigate the dependence(through cointegration analysis) between the six variables and it shows a better fit with better performance than others models such as VAR and ARIMA in predicting life expectancy at birth by race. We show that there are similar long-term trends in the average life expectancy of the members of all the main racial groups residing in the USA. Our study offers new insights to demographers with regard to predicting the average future life expectancy of members of different racial groups.Mathematics Subject Classification: J11; J14; J15; C01; C52; C53

Suggested Citation

  • A. Ntamjokouen & S. Haberman & G. Consigli, 2017. "Projecting the long run relationship of Multi-population life expectancy by race," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 6(2), pages 1-3.
    • Handle: RePEc:spt:stecon:v:6:y:2017:i:2:f:6_2_3
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    References listed on IDEAS

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    1. Njenga Carolyn N & Sherris Michael, 2011. "Longevity Risk and the Econometric Analysis of Mortality Trends and Volatility," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 5(2), pages 1-54, July.
    2. Hyndman, Rob J. & Koehler, Anne B. & Snyder, Ralph D. & Grose, Simone, 2002. "A state space framework for automatic forecasting using exponential smoothing methods," International Journal of Forecasting, Elsevier, vol. 18(3), pages 439-454.
    3. Rives Jr., N.W., 1977. "The effect of census errors on life table estimates of black mortality," American Journal of Public Health, American Public Health Association, vol. 67(9), pages 867-868.
    4. Pfaff, Bernhard, 2008. "VAR, SVAR and SVEC Models: Implementation Within R Package vars," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i04).
    5. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    6. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679.
    7. Carter, Lawrence R. & Lee, Ronald D., 1992. "Modeling and forecasting US sex differentials in mortality," International Journal of Forecasting, Elsevier, vol. 8(3), pages 393-411, November.
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