Econometric Modelling based on Pattern recognition via the Fuzzy c-Means Clustering Algorithm
In this paper we consider the use of fuzzy modelling in the context of econometric analysis of both time-series and cross-section data. We discuss and demonstrate a semi-parametric methodology for model identification and estimation that is based on the Fuzzy c-Means algorithm that is widely used in the context of pattern recognition, and the Takagi-Sugeno approach to modelling fuzzy systems. This methodology is exceptionally flexible and provides a computationally tractable method of dealing with non-linear models in high dimensions. In this respect it has distinct theoretical advantages over non-parametric kernel regression, and we find that these advantages also hold empirically in terms of goodness-of-fit in a selection of economic applications.
|Date of creation:||19 Jan 2001|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://web.uvic.ca/econ
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Coppejans, Mark, 2000. "Breaking the Curse of Dimensionality," Working Papers 00-13, Duke University, Department of Economics.
- Murphy, Kevin M & Welch, Finis, 1990. "Empirical Age-Earnings Profiles," Journal of Labor Economics, University of Chicago Press, vol. 8(2), pages 202-29, April.
- Jozsef, Sandor & Korosi, Gabor & Matyas, Laszlo, 1992. "A possible new approach of panel modelling," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 357-374, December.
- Gregory Richardson, 1998. "The structure of fuzzy preferences: Social choice implications," Social Choice and Welfare, Springer, vol. 15(3), pages 359-369.
- Mark Coppejans, 2000. "Breaking the Curse of Dimensionality," Econometric Society World Congress 2000 Contributed Papers 0830, Econometric Society.
- Peter Jacobsen & David Giles, 1998. "Income distribution in the United States: Kuznets' inverted-U hypothesis and data non-stationarity," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 7(4), pages 405-423.
- Kunal Sengupta, 1999. "Choice rules with fuzzy preferences: Some characterizations," Social Choice and Welfare, Springer, vol. 16(2), pages 259-272.
- Finn E. Kydland & Edward C. Prescott, 1990. "Business cycles: real facts and a monetary myth," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Spr, pages 3-18.
- Robert Draeseke & David E. A. Giles, 1999. "A Fuzzy Logic Approach to Modelling the Underground Economy," Econometrics Working Papers 9909, Department of Economics, University of Victoria.
- Lindstrom, Tomas, 1998. "A fuzzy design of the willingness to invest in Sweden," Journal of Economic Behavior & Organization, Elsevier, vol. 36(1), pages 1-17, July.
- Yu Hsing & David Smyth, 1994. "Kuznets's inverted-U hypothesis revisited," Applied Economics Letters, Taylor & Francis Journals, vol. 1(7), pages 111-113.
When requesting a correction, please mention this item's handle: RePEc:vic:vicewp:0101. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (David Giles)
If references are entirely missing, you can add them using this form.