A dynamic factor approach to nonlinear stability analysis
Abstract
A method of principal components is employed to investigate nonlinear dynamic factor structure using a large panel data. The evidence suggests the possibility of nonlinearity in the U.S. while it excludes the class of nonlinearity that can generate endogenous fluctuation or chaos.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.
Volume (Year): 32 (2008)
Issue (Month): 9 (September)
Pages: 2788-2808
Contact details of provider:
Web page: http://www.elsevier.com/locate/jedc
Related research
Keywords:Other versions of this item:
- Mototsugu Shintani, 2004. "A Dynamic Factor Approach to Nonlinear Stability Analysis," Econometric Society 2004 Far Eastern Meetings 538, Econometric Society.
- Mototsugu Shintani, 2004. "A Dynamic Factor Approach to Nonlinear Stability Analysis," Vanderbilt University Department of Economics Working Papers 0418, Vanderbilt University Department of Economics.
- Mototsugu Shintani, 2004. "A Dynamic Factor Approach to Nonlinear Stability Analysis," Levine's Bibliography 122247000000000621, UCLA Department of Economics.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
References
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