Detection of Future Trends of Adolescent Fertility for Austria Using Holt’s Double Exponential Smoothing Technique

Abstract

This research paper uses annual time series data of adolescent fertility rate for Austria 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 are0.9 and0.4 respectively based on minimum MSE. The results of the study indicate that annual adolescent fertility will continue to decline throughout the out of sample period. Therefore, we encourage the Austrian government to attend to various problems that contribute to adolescent pregnancies especially in marginalized communities. 

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 6, Issue 12, December 2022 pp. 103-108

doi.org/10.47001/IRJIET/2022.612018

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. Kassa G. M., Arowojolu A.O., Odukogbe A. A., and Yalew A.W (2018). Prevalence and determinants of adolescent pregnancy in Africa: A systematic review and meta-analysis, Reproductive health, 15 (1):15
  3. World Health Organization (2014). Adolescent pregnancy Factsheet [Internet]. World Health Organization. Available from: http://www.who.int/mediacentre/factsheets/fs364/en/.
  4. Ganchimeg T., Ota E., Morisaki N., Laopaiboon M., Lumbiganon P.,  & Zhang (2014). Pregnancy and childbirth outcomes among adolescent mothers: a World Health Organization multi-country study. BJOG,121(Suppl 1):40–8
  5. United Nations (1995). United Nations International Conference on Population and Development, Cairo 5-13 September, 1994. Programme of Action. New York: United Nations, Department for Economic and Social Information and Policy Analysis.
  6. United Nations (2015). transforming our world: The 2030 agenda for sustainable development, A/RES/70/1. New York: UN General Assembly.
  7. UN (2020) sustainable development goals. https://www.un.org/sustainabl development/development-agenda
  8. UNICEF (2018). Every Child alive. New York: UNICEF
  9. World Health Organization (WHO) (2019). SDG 3: Ensure healthy lives and promote wellbeing for all at all ages.
  10. United Nations (2016). Transforming our world: The 2030 agenda for sustainable development.
  11. Kassa G.M., Arowojolu A.O., Odukogbe A.A.,and Yalew A.W (2018). Prevalence and determinants of adolescent pregnancy in Africa: A systematic review and Meta-analysis. Reprod. Health 2018, 15, 195.
  12. Pradhan R., Wynter K., and Fisher J (2018). Factors Associated with Pregnancy among Married Adolescents in Nepal: Secondary Analysis of the National Demographic and Health Surveys from 2001 to 2011. Int. J. Environ. Res. Public Health 2018, 15, 229.
  13. Mehra D., Sarkar A., Sreenath P., Behera J.,and Mehra S (2018). Effectiveness of a community based intervention to delay early marriage, early pregnancy and improve school retention among adolescents in India. BMC Public Health 2018, 18, 732.
  14. Sama C.B., Ngasa S.N., Dzeke B.S.,and Choukem S.P (2017). Prevalence, predictors and adverse outcomes of adolescent pregnancy in sub-Saharan Africa: A protocol of a systematic review. Syst. Rev. 2017, 6, 247.
  15. Islam M.M., Islam M.K., and Hasan MS (2017). Adolescent motherhood in Bangladesh: Trends and determinants. PLoSOne. 12(11):1–14.