A Regressive Prediction Model to Measuring VAT Collection Amount in China

摘要：

In this paper we use regression analysis method to predict the amount of the collection of VAT (Value Added Tax) in China. The test of the use of SPSS indicate that this method is validate. The use of this prediction model in the collection of VAT is closely matched with the case in practical use. In practice, this method is very useful and is easy to handle. It has a significant effect to the promotion of veracity in the predication of tax collection.

关键词： VAT SPSS Regression multiple predictor

作者: Huang Jing

作者单位: Public Administration College of Zhejiang University, P.R.China, 310027

会议类型: 国际会议

会议名称: 2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)

会议地点: 烟台

会议语种:英文

页码: 1-5

在线出版日期: 2008-08-14（万方平台首次上网日期，不代表论文的发表时间）