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Global Health Economics and
                                                                                        Sustainability





                                        ORIGINAL RESEARCH ARTICLE
                                        Fertility model evolution: A survey on

                                        mathematical models of age-specific fertility
                                        with application to Nepalese and Malaysian data



                                        Arjun Kumar Gaire * , Yogendra Bahadur Gurung 1  , and Tara Prasad Bhusal 3
                                                        1,2
                                        1 Central Department of Population Studies, Tribhuvan University, Kirtipur, Nepal
                                        2 Department of Science and Humanities, Khwopa Engineering College, Purbanchal University,
                                        Bhaktapur, Nepal
                                        3 Central Department of Economics, Tribhuvan University, Kirtipur, Nepal




                                        Abstract
                                        Fertility pattern analysis and modeling to smooth age-specific fertility rates (ASFRs)
                                        form  a  well-established  research  field  that holds  particular  importance  for  Asian
                                        countries. In developed nations, ASFRs typically display a bimodal skewed fertility
                                        curve, whereas, in developing countries, they usually exhibit a unimodal skewed
            Academic editor:            fertility curve that diverges from the normal one. For decades, demographic experts
            Mihajlo Jakovljevic M.D. Ph.D. MAE  worldwide have been interested in creating models using deterministic and stochastic
                                        approaches to represent these fertility curves. In this regard, parametric and non-
            *Corresponding author:
            Arjun Kumar Gaire           parametric models have been created, with the latter providing a better fit for ASFR
            (gaire.arjun@khec.edu.np)   data. This research investigates the evolution of fertility models aimed at smoothing
            Citation: Gaire, A.K., Gurung, Y.B.   ASFRs. It explores suitable alternative models for countries with fast-declining,
            & Bhusal, T.P. (2025). Fertility model   unimodal, and skewed fertility curves of ASFRs, such as Nepal and Malaysia. Nepal’s
            evolution: A survey on mathematical   fertility rate is transitioning from a high level toward the replacement rate (2.1) at
            models of age-specific fertility
            with application to Nepalese and   the year 2021; meanwhile, Malaysia’s fertility rate (1.7) in the year 2021 has dropped
            Malaysian data. Global Health Econ   below the replacement rate. Given the lack of a universally applicable model for ASFR
            Sustain, 3(1):222-234.      pattern variation, this study proposes the Kumaraswamy log-logistic distribution as
            https://doi.org/10.36922/ghes.4219
                                        a promising model to represent the ASFRs of Nepal and Malaysia accurately. Various
            Received: July 11, 2024     approaches, including the Akaike information criterion, and Bayesian information
            1st revised: August 18, 2024  criterion, are employed to validate the fitting of the proposed model.
            2nd revised: September 12, 2024
            Accepted: September 14, 2024  Keywords: Age-specific fertility rate; Parametric; Non-parametric; Malaysia; Nepal
            Published online: November 11,
            2024
            Copyright: © 2024 Author(s).   1. Introduction
            This is an Open Access article
            distributed under the terms of the   Women’s fertility represents their innate ability to have children.  It is a fundamental
            Creative Commons Attribution   element of population growth, along with mortality and migration. Fertility and mortality
            License, permitting distribution,
            and reproduction in any medium,   are biological factors, whereas migration is a socioeconomic factor. Age-specific fertility
            provided the original work is   rate (ASFR) is a fertility measure for a specific age group, typically expressed per thousand
            properly cited.             women in that age group in a particular locality. ASFRs depict the reproductive behavior
            Publisher’s Note: AccScience   of females in various age groups. Policymakers are concerned with women of specific age
            Publishing remains neutral with   groups concerning policies relating to reproductive rights and health, especially teenagers.
            regard to jurisdictional claims in
            published maps and institutional   Although adolescence is widely accepted to be an inappropriate period for pregnancy, in
            affiliations.               Nepal, among women aged 15 – 49, more than 17% of them started having children in their

            Volume 3 Issue 1 (2025)                        222                       https://doi.org/10.36922/ghes.4219
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