Combining machine-based and econometrics methods for policy analytics insights

• Main Authors: KAUFFMAN, Robert J., KIM, Kwansoo, LEE, Sang-Yong Tom, HOANG, Ai Phuong, REN, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Causality; Computational Social Science; Data analytics; Econometrics; E-commerce; Empirical research; Fintech; Fusion analytics; Music popularity; Stock trading; Policy analytics; TV viewing; Video-on-demand (VoD); Databases and Information Systems; E-Commerce; Strategic Management Policy
• Online Access: https://ink.library.smu.edu.sg/sis_research/3729; https://ink.library.smu.edu.sg/context/sis_research/article/4731/viewcontent/1_s20_S1567422317300145_main.pdf
• Institution: Singapore Management University

Computational Social Science (CSS) has become a mainstream approach in the empirical study of policy analytics issues in various domains of e-commerce research. This article is intended to represent recent advances that have been made for the discovery of new policy-related insights in business, con...