2026-06-08T09:51:03Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/174122023-08-11T07:26:30Zcom_20.500.14352_14col_20.500.14352_17

00925njm 22002777a 4500 dc Chang, Chia-Lin author McAleer, Michael author Wong, Wing-Keung author 2018 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. 2341-2356 https://hdl.handle.net/20.500.14352/17412 https://www.ucm.es/icae Big data, computational science, economics, finance, marketing, management, and psychology: connections