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基于RBFNN实验的物业税开征后对房产价格影响预测
引用本文:何芳,肖森予,冯硕.基于RBFNN实验的物业税开征后对房产价格影响预测[J].预测,2011,30(3).
作者姓名:何芳  肖森予  冯硕
作者单位:同济大学,经济与管理学院,上海,200092
基金项目:国家自然科学基金资助项目,上海市重点学科建设贵助项目
摘    要:本文建立径向基神经网络(Radical Basis Function Neural Network-RBFNN)遥近微观经济学理论的DUST价格函数,分析了物业税开征对于上海住房价格的影响效应.实证结果显示,流通环节的税收改革对房价产生的是持久的正向冲击,保有环节的税收改革对房价产生的是短期的负向冲击.在基于实验结论的基础土,给出了相应的经济学分析,并提出了相应的政策建议.

关 键 词:物业税  开征  影响  房产价格  RBFNN

Prediction of Shanghai Housing Price after Property Tax Levying: Based on RBFNN
HE Fang,XIAO Sen-yu,FENG Shuo.Prediction of Shanghai Housing Price after Property Tax Levying: Based on RBFNN[J].Forecasting,2011,30(3).
Authors:HE Fang  XIAO Sen-yu  FENG Shuo
Institution:HE Fang,XIAO Sen-yu,FENG Shuo(School of Economy & Management,Tongji University,Shanghai 200092,China)
Abstract:A Radial Basis Function Neural Network(RBFNN)is established in this paper to approximate DUST price model of microeconomics.The effects of levy property tax on housing prices were analyzed.The results showed that the tax in circulated links made a long-term positive impact on the housing prices,while the tax in retained links made a short-term negative impact.Then the author gave an economic analysis and some policy suggestions for the experiment results.
Keywords:property tax  levying  effect  housing price  RBFNN  
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