Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Tinbergen Institute Discussion Paper ; No. TI 2018-024/III

Classification and Topics

• Classification: Wirtschaft ; General Economics: General ; Financial Economics: General ; Capital Budgeting; Fixed Investment and Inventory Studies; Capacity ; Management of Technological Innovation and R&D
• Subject: Decision sciences ; economics ; finance ; business ; computing ; and big data ; theoretical models ; econometric and statistical models ; applications

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Chang, Chia-Lin ; McAleer, Michael ; Wong, Wing Keung
• Event: Veröffentlichung
• (who): Tinbergen Institute
• (where): Amsterdam and Rotterdam
• (when): 2018

Further information

• Handle: http://hdl.handle.net/10419/177714
• Last update: 10.03.2025, 11:43 AM CET