基于网络检索数据的CPI预测研究  

CPI Prediction Based on Network Retrieving Data

作　　者：雷怀英[1] 王毓彬 吴英明 LEI Huai-ying;WANG Yu-bin;WU Ying-ming(School of Management,Tianjin Polytechnic University,Tianjin 300387,China)

机构地区：[1]天津工业大学管理学院,天津300387

出　　处：《经济问题》2018年第10期22-26,共5页On Economic Problems

基　　金：国家社会科学基金项目"CPI偏差的测定与调整方法研究"(11BTJ018)

摘　　要：随着互联网应用的不断深入和大数据时代的到来,网络检索数据的利用价值越来越大,试图突破传统的"具体经济性的指标数据"+"经济模型"="经济结论"的研究模式,借助于网络检索的非经济性指标数据,按照"非经济性的指标数据"+"经济模型"="经济结论"的研究模式。以布拉德福定律为理论依据,利用网络爬虫技术,在获取网络检索数据的基础上,对网络检索数据与物价波动关系进行分析研究,研究结果表明网络检索数据用于CPI的预测具有一定的可行性,其结论具有一定的参考价值。With the fast development of Internet and the arrival of big data era,The use value of network retrieval data is increasing,This paper breaks the traditional research mode that According to the ＂economic data＂,we establish ＂economic models＂and draw ＂economic conclusions＂. Now according to the ＂non economicdata＂retrieved from the Internet,we establish the ＂economic models＂and draw ＂economic conclusions＂. Based on Bradford＇s law,we use web crawler technology to retrieve data from the network,study the relationship between Internet retrieval data and price fluctuation,The research results show that it is feasible to use network retrieval data to predict CPI,the prediction result has a certain reference value.

关 键 词：网络检索数据 物价波动 居民消费价格指数预测 

分 类 号：F222.34[经济管理—国民经济]