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A Dynamic Factor Approach to Nonlinear Stability Analysis

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  • Mototsugu Shintani

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

Suggested Citation

  • Mototsugu Shintani, 2004. "A Dynamic Factor Approach to Nonlinear Stability Analysis," Econometric Society 2004 Far Eastern Meetings 538, Econometric Society.
    • Handle: RePEc:ecm:feam04:538
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    as
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    Citations

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    Cited by:

    1. Mototsugu Shintani & Zi-Yi Guo, 2018. "Improving the finite sample performance of autoregression estimators in dynamic factor models: A bootstrap approach," Econometric Reviews, Taylor & Francis Journals, vol. 37(4), pages 360-379, April.
    2. Shintani, Mototsugu & Guo, Zi-Yi, 2011. "Finite Sample Performance of Principal Components Estimators for Dynamic Factor Models: Asymptotic vs. Bootstrap Approximations," EconStor Preprints 167627, ZBW - Leibniz Information Centre for Economics.

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    More about this item

    Keywords

    Chaos; Dynamic Factor Model; Lyapunov Exponents; Nonparametric Regression; Principal Components;
    All these keywords.

    JEL classification:

    • 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; Spatio-temporal Models

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