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Cairns, A. J. G., Blake, D., Dowd, K., Coughlan, G. D., Epstein, D., Ong, A., & Balevich, I. (2009). A Quantitative Comparison of Stochastic Mortality Models Using Data from England and Wales and the United States. North American Actuarial Journal, 13, 1-35.
https://doi.org/10.1080/10920277.2009.10597538

has been cited by the following article:

• TITLE: What Are the Socio-Economic Predictors of Mortality in a Society?

  AUTHORS: Wahab Adewuyi Adejumo, Adetunji Raimi Tijani, Sheriff Adesanyaonatola

  KEYWORDS: Multiple Regression, Predictive Variables, Model Selection, Income Deprivation, Relative Risk

  JOURNAL NAME: Journal of Financial Risk Management, Vol.8 No.4, December 5, 2019

  ABSTRACT: Improvement in medical science is regarded as one of major factors that led to the constant improvement of living conditions in most of the countries with the result that mortality rate has been declining, thereby resulting in a steady increase of life expectancy which further led to creating higher financial responsibilities for pension and annuity providers. In essence, mortality forecasts are essential for predicting the future extent of population ageing, and for determining the sustainability of pension schemes and social security systems. The objective of this paper is to fit multiple regression models to measure how the various predictive variables relate to mortality. We intend to select a statistical model from the model class that best fits the data by choosing the model that has the smallest AIC value. From the analysis of our research, we found that income deprivation is the strongest independent predictor of mortality rates in a neighbourhood, though each of the variables is statistically significant at less than 5%.