Template-Type: ReDIF-Paper 1.0
Author-Name: Chang, C-L.
Author-Name-Last: Chang
Author-Name-First: Chia-Lin
Author-Person: pch286
Author-Name: McAleer, M.J.
Author-Name-Last: McAleer
Author-Name-First: Michael
Author-Person: pmc90
Author-Name: Wong, W.-K.
Author-Name-Last: Wong
Author-Name-First: Wing-Keung
Author-Person: pwo79
Title: Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections
Abstract: This paper provides a review of some connecting literature in Decision Sciences, Economics,
 Finance, Business, Computing, and Big Data. We then discuss some research that is related to the
 six cognate disciplines. Academics could develop theoretical models and subsequent econometric
 and statistical models to estimate the parameters in the associated models. Moreover, they could
 then conduct simulations to examine whether the estimators or statistics in the new theories on
 estimation and hypothesis have small size and high power. Thereafter, academics and practitioners
 could then apply their theories to analyze interesting problems and issues in the six disciplines and
 other cognate areas.
Length: 58
Creation-Date: 2018-03-14
File-URL: https://repub.eur.nl/pub/105878/Repub_105878.pdf
File-Format: application/pdf
Series: RePEc:ems:eureir
Number: 18-024/III
Number: EI2018-13
Classification-JEL: A10, G00, G31, O32
Keywords: Decision sciences, economics, finance, business, computing, and big data, theoretical models, econometric and statistical models, applications
Handle: RePEc:ems:eureir:105878