Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections

Chia-Lin Chang (), Michael McAleer and Wing-Keung Wong

JRFM, 2018, vol. 11, issue 1, 1-29

Abstract: The paper provides a review of the literature that connects Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology, and discusses research issues that are related to the various 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.

Keywords: big data; computational science; economics; finance; management; theoretical models; econometric and statistical models; applications (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://www.mdpi.com/1911-8074/11/1/15/pdf (application/pdf)
https://www.mdpi.com/1911-8074/11/1/15/ (text/html)

Related works:
Working Paper: Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections (2018)
Working Paper: Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections (2018)
Working Paper: Big data, computational science, economics, finance, marketing, management, and psychology: connections (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jjrfmx:v:11:y:2018:i:1:p:15-:d:137130

Access Statistics for this article

JRFM is currently edited by Ms. Chelthy Cheng

More articles in JRFM from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().