Developments in the Nonlinear Analysis of Economic Series
Various aspects of the analysis of nonlinearities are surveyed in this paper. A possibility of distinguishing between a (low-dimensional) deterministic chaotic process and a white noise stochastic process using estimates of the correlation dimension is discussed. It is concluded that there is no evidence of chaos--as opposed to nonlinearity--in the economic data. The modes of testing for nonlinearity are briefly surveyed, with particular attention paid to a new test based on a neural network specification. It is found that aggregation can reduce nonlinearity and a definition of long memory is proposed that suggests a nonlinear generalization of cointegration. Copyright 1991 by The editors of the Scandinavian Journal of Economics.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Volume (Year): 93 (1991)
Issue (Month): 2 ()
|Contact details of provider:|| Web page: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-9442|
|Order Information:||Web: http://www.blackwellpublishing.com/subs.asp?ref=0347-0520|