The Statistical Properties Of Dimension Calculations Using Small Data Sets: Some Economic Applications
AbstractSeveral recent attempts have been made to test for chaos in economic time series through dimension calculations. Relative to the large data sets used in the natural sciences, economic time series are small. Using a procedure developed by J. B. Ramsey and H. Yuan, the authors show that, with the techniques available to date and for the time series examined so far, there is virtually no evidence for the presence of simple chaotic attractors. Copyright 1990 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
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Bibliographic InfoPaper provided by Houston - Department of Economics in its series Papers with number 15.
Length: 34 pages
Date of creation: 1988
Date of revision:
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Postal: UNIVERSITY OF HOUSTON, DEPARTMENT OF ECONOMICS, COLLEGE OF SOCIAL SCIENCES, HOUSTON TEXAS 77023 U.S.A.
Web page: http://www.class.uh.edu/econ/
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econometrics ; data analysis ; observation;
Other versions of this item:
- Ramsey, James B & Sayers, Chera L & Rothman, Philip, 1990. "The Statistical Properties of Dimension Calculations Using Small Data Sets: Some Economic Applications," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 31(4), pages 991-1020, November.
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