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Random walks and non-linear paths in macroeconomic time series: some evidence and implications

In: Applied Evolutionary Economics and Complex Systems

Author

Listed:
  • Franco Bevilacqua
  • Adriaan van Zon

Abstract

This book takes up the challenge of developing an empirically based foundation for evolutionary economics built upon complex system theory. The authors argue that modern evolutionary economics is at a crossroads. At a theoretical level, modern evolutionary economics is moving away from the traditional focus of the operation of selection mechanisms and towards concepts of ‘complex adaptive systems' and self-organisation. On an applied level, new and innovative methods of empirical research are being developed and considered. The contributors take up this challenge and examine aspects of complexity and evolution in applied contexts.

Suggested Citation

  • Franco Bevilacqua & Adriaan van Zon, 2004. "Random walks and non-linear paths in macroeconomic time series: some evidence and implications," Chapters, in: John Foster & Werner Hölzl (ed.), Applied Evolutionary Economics and Complex Systems, chapter 3, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:3061_3
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    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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