A Few Methods for Estimating Life Expectancy

Methods for Estimating Life Expectancy

Authors

  • M. Phukon North-Eastern Hill University
  • M. I. Ahamed North-Eastern Hill University

DOI:

https://doi.org/10.3329/jsr.v11i3.40874

Abstract

In this paper, firstly, an extensive empirical investigation is done by fitting linear regressions exhaustively to observe the pattern and nature of linear relationships of life expectancies of each age-group with that of all other age-groups in fifty-four Sample Registration System (SRS) life tables of Assam state of India. Secondly, two second degree polynomial regression models have been proposed for estimating life expectancies at birth (e0). Both the models have been empirically illustrated in fifty-four SRS life tables of India and fifty-four SRS life tables of each of 16 major Indian states. The estimated values of e0 are examined in relation to estimated values of the same by some other methods and e0 values available in SRS tables of the years 2001-05 and 2011-15. Moreover, e0 values for all districts of Assam are estimated by using one of the proposed polynomial regressions together with some indirect techniques of estimation.

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Published

2019-09-01

How to Cite

Phukon, M., & Ahamed, M. I. (2019). A Few Methods for Estimating Life Expectancy: Methods for Estimating Life Expectancy. Journal of Scientific Research, 11(3), 321–338. https://doi.org/10.3329/jsr.v11i3.40874

Issue

Vol. 11 No. 3 (2019)

Section

Section A: Physical and Mathematical Sciences

License

© Journal of Scientific Research

Creative Commons License

Articles published in the "Journal of Scientific Research" are Open Access articles under a Creative Commons Attribution-ShareAlike 4.0 International license (CC BY-SA 4.0). This license permits use, distribution and reproduction in any medium, provided the original work is properly cited and initial publication in this journal. In addition to that, users must provide a link to the license, indicate if changes are made and distribute using the same license as original if the original content has been remixed, transformed or built upon.