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Unsolved Econometric Problems in Nonlinearity, Chaos, and Bifurcation

Author

Listed:
  • William A. Barnett

    (Washington University)

  • Yijun He

    (Washington State University)

Abstract

This paper reports on unsolved problems in our research on testing for nonlinearity and chaos and for designing bifurcation stabilization policies conditional upon macroeconomic models.

Suggested Citation

  • William A. Barnett & Yijun He, 2000. "Unsolved Econometric Problems in Nonlinearity, Chaos, and Bifurcation," Macroeconomics 0004021, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpma:0004021
    Note: Type of Document - Scientific Word; prepared on IBM PC; pages: 25 ; figures: included. This paper was prepared for and presented at the Seventh Viennese Workshop on Optimal Control, Dynamic Games and Nonlinear Dynamics in May 2000.
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    Cited by:

    1. Marisa Faggini, 2011. "Chaotic Time Series Analysis in Economics: Balance and Perspectives," Working papers 25, Former Department of Economics and Public Finance "G. Prato", University of Torino.
    2. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2013. "Some thoughts on accurate characterization of stock market indexes trends in conditions of nonlinear capital flows during electronic trading at stock exchanges in global capital markets," MPRA Paper 49921, University Library of Munich, Germany.

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    Keywords

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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