Template-Type: ReDIF-Paper 1.0
Series: Tinbergen Institute Discussion Papers
Creation-Date: 2018-02-03
Number: 18-011/III
Author-Name: Chia-Lin Chang
Author-Email: changchialin@email.nchu.edu.tw
Author-Workplace-Name: National Chung Hsing University
Author-Name: Michael McALeer
Author-Email: michael.mcaleer@gmail.com
Author-Workplace-Name: Asia University; University of Sydney Business School; Erasmus University
Author-Name: Wing-Keung Wong
Author-Email: wong@asia.edu.tw
Author-Workplace-Name: Asia University; China Medical University Hospital; Lingnan University
Title: Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections
Abstract: The paper provides a review of the literature that connects Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology, and discusses some research that is related to the seven disciplines. Academics could develop theoretical models and subsequent econometric and statistical models to estimate the parameters in the associated models, as well as conduct simulation to examine whether the estimators in their theories on estimation and hypothesis testing have good size and high power. Thereafter, academics and practitioners could apply theory to analyse some interesting issues in the seven disciplines and cognate areas.
Classification-JEL: A10, G00, G31, O32
Keywords: Big Data, Computational science, Economics, Finance, Management, Theoretical models, Econometric and statistical models, Applications.
File-Url: https://papers.tinbergen.nl/18011.pdf
File-Format: application/pdf
File-Size: 879769 bytes
Handle: RePEc:tin:wpaper:20180011