Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
570113 | Environmental Modelling & Software | 2007 | 10 Pages |
Abstract
We discuss some issues and challenges facing economic modellers when confronted with data generated within a non-linear world. The pitfalls associated with the linearisation of inherently non-linear models are raised and the concept of robustness defined and proposed as a necessary property of scientifically valid models. The existence of chaos in economic time series is discussed and an example, using financial data, presented.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Les Oxley, Donald A.R. George,