基于互联网在线数据的居民消费价格指数
Internet-based Consumer Price Index
iCPI is a project aiming at constructing CPI, predicting inflation based on real-time online data, in order to build a powerful macroeconomic description and prediction system improve timeliness and reliability.
iCPI consists of daily, weekly and monthly indices of 8 divisions, 46 gropus and 262 classes.
Based on the international research frontier, iCPI is instructed by professors from the Institute of Economics, School of Social Science and Department of Computer Science and Technology at Tsinghua University.
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