Forecasting a state gross domestic product with logistic growth model

R. Rahim, Mohd Aliff Zikri
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Abstract

Gross Domestic Product (GDP) represents the total monetary value of all goods and services produced over a specific time period. This study models the GDP data of the state of Johor for year 2005-2016. A mathematical model is developed for the state GDP data using Logistic Growth model. The long-term equilibrium value for GDP were estimated using data for period 2005-2016 with different parameter values. The future GDP for the state were predicted using the suitable parameter value.Gross Domestic Product (GDP) represents the total monetary value of all goods and services produced over a specific time period. This study models the GDP data of the state of Johor for year 2005-2016. A mathematical model is developed for the state GDP data using Logistic Growth model. The long-term equilibrium value for GDP were estimated using data for period 2005-2016 with different parameter values. The future GDP for the state were predicted using the suitable parameter value.
运用logistic增长模型预测国家国内生产总值
国内生产总值(GDP)代表在特定时期内生产的所有商品和服务的总货币价值。本研究对柔佛州2005-2016年的GDP数据进行了建模。运用Logistic增长模型建立了国家GDP数据的数学模型。使用不同参数值的2005-2016年数据估计GDP的长期均衡值。利用合适的参数值预测了该州未来的GDP。国内生产总值(GDP)代表在特定时期内生产的所有商品和服务的总货币价值。本研究对柔佛州2005-2016年的GDP数据进行了建模。运用Logistic增长模型建立了国家GDP数据的数学模型。使用不同参数值的2005-2016年数据估计GDP的长期均衡值。利用合适的参数值预测了该州未来的GDP。
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