Predicting Adolescent Fertility for Liberia Using Holt’s Double Exponential Smoothing Technique

Abstract

This study uses annual time series data of adolescent fertility rate for Liberia from 1960 to 2020 to predict future trends of adolescent fertility rate over the period 2021 to 2030. The study utilizes Holt’s linear exponential smoothing model. The optimal values of smoothing constants α and β are 0.9 and 0.4 respectively based on minimum MSE. The results of the study indicate that annual adolescent fertility rate will continue to decline but remain very high throughout the out of sample period. Therefore, we encourage policy makers in Liberia to address socio-cultural, economic and geographic factors that significantly contribute to teenage pregnancies. There is need to enforce laws that protect the rights of women and girls, promote girl child education and establish adolescent friendly health facilities that will provide affordable comprehensive sexual and reproductive health services.

Country : Zimbabwe

1 Smartson. P. NYONI2 Thabani NYONI

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. Independent Researcher & Health Economist, Harare, Zimbabwe

IRJIET, Volume 7, Issue 2, February 2023 pp. 172-177

doi.org/10.47001/IRJIET/2023.702027

References

  1. UNICEF. (2019). Levels and trends in child mortality: report 2019. Estimates developed by the UN Inter-agency Group for child mortality estimation. New York: UNICEF.
  2. World Health Organization (2020). Preventing early pregnancy through appropriate legal, social and economic measures https: //www.who.int/reproductivehealth/topics/adolescence/laws/en/.
  3. Ameyaw EK., Budu E., Sambah F (2019). Prevalence and determinants of unintended pregnancy in sub-Saharan Africa: A multicounty analysis of demographic and health surveys. PLoS One. 14(8):e0220970.
  4. BainL.E., Zweekhorst MBM., and deBuningTC (2020).Prevalence and determinants of unintended pregnancy in sub-Saharan Africa: asystematic review. Afr J Reprod Health. 24(2):187–205.
  5. Grønvik T., Fossgard Sandøy I (2018). Complications associated with adolescentchildbearinginsub-SaharanAfrica:asystematicliteraturereview andmeta-analysis. PLoS One. 13(9):e0204327.
  6. Wall-Wieler E., Lee JB., Nickel N (2019). The multigenerational effects of adolescent motherhood on school readiness: a population-based retrospective cohortstudy. PLoS One. 14(2):e0211284.
  7. Kassa GM., Arowojolu AO., and Odukogbe AA (2019). Adverse neonatal outcomes of adolescent pregnancy in northwest Ethiopia. PLoS One. 14(6):e0218259.
  8. United Nations. (2015). transforming our world: The 2030 agenda for sustainable development, A/RES/70/1. New York: UN General Assembly.
  9. UN (2020) sustainable development goals. https://www.un.org/sustainabl development/development-agenda
  10. UNICEF (2018). Every Child alive. New York: UNICEF
  11. World Health Organization (WHO) (2019). SDG 3: Ensure healthy lives and promote wellbeing for all at all ages.
  12. United Nation. Transforming our world: The 2030 agenda for sustainable development 2016.
  13. Noori N., Proctor J.L., Efevbera Y (2022). The Effect of Adolescent Pregnancy on Child Mortality in 46 Low- and Middle- Income Countries. BMJ Global Health 2022; 7:e007681. doi:10.1136/ bmjgh-2021-007681
  14. Kaforau L.S.K., Tessema G.A., Jancey J (2021).  Prevalence and risk factors of adverse birth outcomes in the Pacific Island region: a scoping review protocol. BMJ Open 2021; 11:e042423. doi:10.1136/ bmjopen-2020-042423
  15. HarringtonR.B., Harvey N., Larkins S., and Redman-MacLaren M (2021) Family planning in Pacific Island Countries and Territories (PICTs): A scopingreview. PLoS ONE 16(8): e0255080. https://doi.org/10.1371/journal.pone.0255080
  16. Ahinkorah B.O., Kang M., Perry L., Brooks F., and Hayen A (2021) Prevalence of first adolescent pregnancy and its associated factors in sub-Saharan Africa: A multi-country analysis. PLoS ONE 16(2):e0246308.https://doi.org/10.1371/ journal.pone.0246308.