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.

Additional Metadata
Keywords Decision sciences, economics, finance, business, computing, and big data, theoretical, models, econometric and statistical models, applications.
Persistent URL hdl.handle.net/1765/112503
Series Report / Econometric Institute, Erasmus University Rotterdam
Citation
Chang, C-L, McAleer, M.J, & Wong, W.-K. (2018). Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections (No. EI2018-13). Report / Econometric Institute, Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/112503