An Empirical Study On The Online And Offline Economic Index From ASPI-core

In recent years,the National Bureau of Statistics is focusing on carrying forward the trend of using modern science technology,including Big Data,to accelerate the reforming of government statistics.To keeping up with the reforming,Alibaba released its 'Internet Shopping Price index(ISPI)“report prospectively in October 2011,following by the releasing of the aSPI(Alibaba Shopping Price Index)and sSPI-core(Alibaba Shopping Price Index-core)later.What is the relations between these index programed by Big Data and those programed by traditional data?Are the index programed by Big Data going to replace the traditional ones eventually in the near future?This becomes a big concern of the people.The aSPI-core from February 2011 to April 2016 as well as the CPIs for the same period have been introduced into the essay.And by using the qualitative analysis,linear/nonlinear Granger Causality test,and recursive Granger Causality(including Gweeke test)the author would like to analysis the dynamic statistics causality.A series of macro monthly price index,i.e.PPI,have be introduced as well,the author would like to establish a conduction network of on-line and off-line price index conducting direction and time-lag.With the Iceberg Model,whether the on-line and off-line price index complies with the Law of one price will be tested.The author would share certain point of view and make suggestions on how to improve China's price index by make fully use of Big Data.