International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

2023, Vol. 8, Special Issue 5

Forecast of demographic variables using the ARIMA Model in India


Author(s): Bheemanna, MN Megeri and Huchesh H Budihal

Abstract: Life expectancy at birth reflects the overall mortality level of a population. Three important demographic indicators—Life Expectancy at Birth, Death Rate, and Infant Mortality Rate (IMR)—were examined for 1971 to 2020 and projected in this study for the years 2021 to 2030. The projections that went along with the forecasts were created using statistical models. The Auto-regressive Integrated Moving Averages (ARIMA) is discussed in this article for the selected demographic variables. We also used the AIC and BIC to find the best-fitting ARIMA model for the data and provide the life expectancy at birth, Death rate and IMR forecasts for future years. The ARIMA (0, 2, 1), (3, 1, 0), and (3, 1, 0) models were also found to be the best-fitting models for India's Life expectancy at birth, Death rate and IMR respectively. The life expectancy at birth is best fits compared to other variables based on the MAPE values.

DOI: 10.22271/maths.2023.v8.i5Sn.1322

Pages: 1009-1018 | Views: 339 | Downloads: 16

Download Full Article: Click Here
How to cite this article:
Bheemanna, MN Megeri, Huchesh H Budihal. Forecast of demographic variables using the ARIMA Model in India. Int J Stat Appl Math 2023;8(5S):1009-1018. DOI: 10.22271/maths.2023.v8.i5Sn.1322

Call for book chapter
International Journal of Statistics and Applied Mathematics