Arbeitspapier
Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: Tinbergen Institute Discussion Paper ; No. TI 2018-024/III
- Klassifikation
-
Wirtschaft
General Economics: General
Financial Economics: General
Capital Budgeting; Fixed Investment and Inventory Studies; Capacity
Management of Technological Innovation and R&D
- Thema
-
Decision sciences
economics
finance
business
computing
and big data
theoretical models
econometric and statistical models
applications
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Chang, Chia-Lin
McAleer, Michael
Wong, Wing Keung
- Ereignis
-
Veröffentlichung
- (wer)
-
Tinbergen Institute
- (wo)
-
Amsterdam and Rotterdam
- (wann)
-
2018
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Chang, Chia-Lin
- McAleer, Michael
- Wong, Wing Keung
- Tinbergen Institute
Entstanden
- 2018