2026-06-07T23:43:57Zhttps://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

Chang, Chia-Lin McAleer, Michael Wong, Wing-Keung 2023-06-17T17:53:26Z 2023-06-17T17:53:26Z 2018 2341-2356 https://hdl.handle.net/20.500.14352/17412 https://www.ucm.es/icae 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. eng https://creativecommons.org/licenses/by-nc-sa/3.0/es/ open access Atribución-NoComercial-CompartirIgual 3.0 España Big data, computational science, economics, finance, marketing, management, and psychology: connections technical report