Five known variables relevant to Nigeria situation have been used as regressors to examine their significance in determining life expectancy.
It was found that, the conventional socio-economic variables such as per capita income, education and government expenditure on health considered to be highly effective in determining life expectancy of developing countries are not significant in the case of Nigeria.
The focal outcome of the analyses is that the traditional socio-economic variables considered to be highly prominent in determining life expectancy of developing countries were not significant in the context of Nigeria.
Even before determining life expectancy by means of fatigue models, the LEF clearly indicates in every pavement structure the spot where degradation was most severe (at either the interface or bottom of asphalt layers).
It is clear from the results that apart from the previous two periods log values of unemployment rate, the previous two period exchange rates and the previous period government expenditure on health, the conventional socio-economic variables considered to be highly effective in determining life expectancy of developing countries are not significant in the case of Nigeria.
In fact, birth size affects the long-term health of an individual, and is critical in determining life expectancy.
But Richard Wilkinson has long argued that above a certain relatively small income it is the distribution of wealth in a community rather than its average income that determines life expectancy - and, as Oliver James argues, much else, including crime levels and educational achievement.
Later, Johan de Witt, the then prime minister of the Dutch Republic, published similar material in his 1671 work Waerdye van Lyf-Renten (A Treatise on Life Annuities), which used statistical concepts to determine life expectancy for practical political purposes; a demonstration of the fact that this sapling branch of mathematics had significant pragmatic applications.
We modeled age at death rather than the length of time from enrollment to death to determine life expectancy, in an approach similar to that used by Platt et al[5].
Stage greatly determined life expectancy and the proportion of life years spent in good health.
