The Improved Leslie Model for population Forecasting

  • Jinjing Ma Jingdezhen Ceramic University
  • Yongkang Peng Jingdezhen Ceramic University
  • Lianyu Wu Jingdezhen Ceramic University
Article ID: 3060
121 Views, 41 PDF Downloads
DOI: https://doi.org/10.18282/l-e.v10i8.3060
Keywords: Leslie, Population Prediction, ARIMA, Mortality Rate

Abstract

Based on China’s population data from 1953 to 2020, the Leslie model combines the fertility rate of women of childbearing age by region and age, the sex ratio of the birth population, the mortality rate, the migration rate between urban and rural areas by age, the curve fitting migration function, and the application of ARIMA to predict mortality rates to construct a discrete population dynamics system in order to predict China’s future population development trajectory. The improved Leslie, Leslie, BP and Malthus models were compared in terms of error rates. The improved Leslie model was more stable than the rest of the models and had an average error rate of 0.09%, with good model generalization ability. The results show that the improved Leslie model predicts that the total population will slowly increase under the national regulation policy, and will reach a peak by around 2045 and then decline.

References

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Published
2022-06-20
How to Cite
Ma, J., Peng, Y., & Wu, L. (2022). The Improved Leslie Model for population Forecasting. Learning & Education, 10(8), 61-63. https://doi.org/10.18282/l-e.v10i8.3060
Issue
Vol. 10 No. 8 (2021)
Section
Article

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