摘要
对税收收入的精确预测,能为市场经济的宏观调控提供科学依据.在现有的单项预测模型基础上,采用方差-协方差加权方法,构建了税收收入的组合预测模型.最后对我国1978-2012年的税收收入等数据进行实例分析,实证分析结果验证了组合预测模型具有较优的预测效果.
The accurate prediction of tax revenue can provide a scientific basis for the macro-control of the market economy. This paper, on the basis of existing single prediction model, constructs a combined forecasting model of tax revenue based on the minimum sum of squared errors. Then, taking the data of tax revenue of 1978-2012 in China as an example, testifies that the combined forecasting model put forward in this paper can reduce errors and improve the prediction accuracy.
出处
《兰州文理学院学报(自然科学版)》
2017年第4期1-3,29,共4页
Journal of Lanzhou University of Arts and Science(Natural Sciences)
关键词
税收收入
指数平滑法
偏最小二次回归
灰色预测
组合预测
tax revenue
exponential smoothing method
partial least squares method
grey predictionmethod
combined forecasting method