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has been cited by the following article:

• TITLE: Exlog Weighted Sum Model for Long Term Forecasting

  AUTHORS: Luvsandash Ouyntsetseg, Natsagdorj Tungalag, Rentsen Enkhbat

  KEYWORDS: Exponential Model, Logistic Model, Exlog Weighted Sum Model, Forecasting

  JOURNAL NAME: iBusiness, Vol.14 No.2, April 28, 2022

  ABSTRACT: Long-term forecasting of key macroeconomic indicators such as population is very important for future development policy-making. Population plays an important role in economic decision-making, social security and economic growth. So it is important to develop a good model for predicting economic indicators. In order to improve the growth model, we introduce a new model called Exlog Weighted Sum Model for predicting macroeconomic indicators. This model combines both exponential and logistic models. The proposed model was tested for predicting Mongolian population up to 2040.