Combining machine-based and econometrics methods for policy analytics insights

Combining machine-based and econometrics methods for policy analytics insights

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

Internet

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

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