%A Jiandong Wang %T Monitoring and Forecasting Economic Performance with Big Data %0 Journal Article %D 2020 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2019.1380 %P 12-26 %V 4 %N 1 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4756.shtml} %8 2020-01-25 %X

[Objective] This article reviews the current research in economic monitoring with big data from China and abroad.[Coverage] We searched the WOS, CNKI, and EI databases with the keywords of “Big data + Economics / Economy”. A total of 163 Chinese papers and 107 English papers, as well as seven monographs on the big data economics were retrieved. 157 representative documents were identified based on their relevance and quality.[Methods] This paper summarized the research methods, data sources, and conclusions of the retrieved literature published in the past ten years.[Results] Seven typical research paths were found from the perspectives of monitoring and forecasting. The former includes improving traditional surveys with big data, constructing new economic monitoring indicators, “nowcasting”, and analyzing economic performance. The latter includes building advance economic forecasting indicators, improving traditional forecasting models, and establishing new forecasting models.[Limitations] This article only examines the related research in the past ten years from specific fields, which needs to be further expanded.[Conclusions] Using big data for macroeconomic monitoring and forecasting has huge potentiality and practical dilemma. The differences and connections between big data and traditional economic analytics, as well as their impacts, also merit study.