Number regression and prediction of Chinese seniors based on the ARIMA model

التفاصيل البيبلوغرافية
العنوان: Number regression and prediction of Chinese seniors based on the ARIMA model
المؤلفون: Yingshuo Li, Yu Liu
المصدر: The Frontiers of Society, Science and Technology. 3
بيانات النشر: Francis Academic Press Ltd., 2021.
سنة النشر: 2021
مصطلحات موضوعية: Population ageing, Econometrics, Economics, Contrast (statistics), Errors-in-variables models, Differential (mechanical device), Unit root, Autoregressive integrated moving average, China, Regression
الوصف: China's aging population developed rapidly in the 21st century, It has brought a significant impact on the changes in China's social security system and labor force structure, In 2021, the "seven general" data show that the aging process of China's society continues to climb, This paper will be based on the number of 65 in China from 1990-2020, Using the time-series ARIMA model, , Differential ideas derived from data stationarity, Unit root inspection, Model order, AIC and BIC coefficients in contrast, Model error analysis, As well as model prediction analysis, the number of elderly population in China from 2021 to 2030, The research results show that the number of elderly people in China is still increasing in the next few years, And put forward the corresponding policy suggestions for the results.
تدمد: 2616-7433
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4915b5a963d0aacfbf09b0528c2078c1
https://doi.org/10.25236/fsst.2021.030611
رقم الأكسشن: edsair.doi...........4915b5a963d0aacfbf09b0528c2078c1
قاعدة البيانات: OpenAIRE