A Computational Model for Age-Structured Population Projection of Bangladesh

Authors

  • Murshada Begum Department of Mathematics, Jahangirnagar University, Savar, Dhaka, Bangladesh
  • Laek Sazzad Andallah Department of Mathematics, Jahangirnagar University, Savar, Dhaka, Bangladesh
  • Md. Sabbir Alam Department of Mathematics, Jahangirnagar University, Savar, Dhaka, Bangladesh

Keywords:

Age-structured Population Projection, Computational Model, Death rates, Least Squares method

Abstract

In this paper, we develop a computational model for age-structured population projections of Bangladesh on the basis of the present population trend based on data from BBS and ICDDR,B. We project the first age-group population by least squares method and the other age-group population by our computational model for which we estimate the death rates of each age-group also by least squares methods. Validation of the model is reported and the computed results are compared with other projections.

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Published

01-06-2019

How to Cite

Murshada Begum, Laek Sazzad Andallah, & Md. Sabbir Alam. (2019). A Computational Model for Age-Structured Population Projection of Bangladesh. Jahangirnagar University Journal of Science, 42(1), 27–39. Retrieved from https://jos.ju-journal.org/jujs/article/view/29

Issue

Vol. 42 No. 1: June 2019

Section

Articles

License

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