Phase Space Reconstruction from Econommic Time Series Data: Improving Models of Complex Real-World Dynamic Systems

<p align="left">&nbsp;</p><p><span style="font-size: xx-small;">Failure of economic models to anticipate the global financial crisis illustrates the need for modeling to better capture complex real-world dynamics. Conventional models&mdash;in which...

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Bibliographic Details
Main Author: Ray Huffaker
Format: Article
Language:English
Published: CentMa 2010-10-01
Series:International Journal on Food System Dynamics
Subjects:
Online Access:http://centmapress.ilb.uni-bonn.de/ojs/index.php/fsd/article/view/89
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author Ray Huffaker
author_facet Ray Huffaker
author_sort Ray Huffaker
collection DOAJ
description <p align="left">&nbsp;</p><p><span style="font-size: xx-small;">Failure of economic models to anticipate the global financial crisis illustrates the need for modeling to better capture complex real-world dynamics. Conventional models&mdash;in which economic variables evolve toward equilibria or fluctuate about equilibria in response to exogenous random shocks&mdash;are ill-equipped to portray complex real-world dynamics in which economic variables may cycle aperiodically along low-dimensional &lsquo;strange attractors&rsquo;. We present a method developed in the physics literature&mdash;&lsquo;phase space reconstruction&rsquo;&mdash;that reconstructs strange attractors present in real-world dynamical systems using time series data on a single variable. Phase space reconstruction provides pictures of real-world dynamics that can guide model specification. </span></p>
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spelling doaj.art-d2920ec29c724240978267e75ba7541a2022-12-22T00:45:19ZengCentMaInternational Journal on Food System Dynamics1869-69452010-10-011318419372Phase Space Reconstruction from Econommic Time Series Data: Improving Models of Complex Real-World Dynamic SystemsRay Huffaker0Prof., University of Florida<p align="left">&nbsp;</p><p><span style="font-size: xx-small;">Failure of economic models to anticipate the global financial crisis illustrates the need for modeling to better capture complex real-world dynamics. Conventional models&mdash;in which economic variables evolve toward equilibria or fluctuate about equilibria in response to exogenous random shocks&mdash;are ill-equipped to portray complex real-world dynamics in which economic variables may cycle aperiodically along low-dimensional &lsquo;strange attractors&rsquo;. We present a method developed in the physics literature&mdash;&lsquo;phase space reconstruction&rsquo;&mdash;that reconstructs strange attractors present in real-world dynamical systems using time series data on a single variable. Phase space reconstruction provides pictures of real-world dynamics that can guide model specification. </span></p>http://centmapress.ilb.uni-bonn.de/ojs/index.php/fsd/article/view/89phase space reconstructiontime series dataeconomic dynamics
spellingShingle Ray Huffaker
Phase Space Reconstruction from Econommic Time Series Data: Improving Models of Complex Real-World Dynamic Systems
International Journal on Food System Dynamics
phase space reconstruction
time series data
economic dynamics
title Phase Space Reconstruction from Econommic Time Series Data: Improving Models of Complex Real-World Dynamic Systems
title_full Phase Space Reconstruction from Econommic Time Series Data: Improving Models of Complex Real-World Dynamic Systems
title_fullStr Phase Space Reconstruction from Econommic Time Series Data: Improving Models of Complex Real-World Dynamic Systems
title_full_unstemmed Phase Space Reconstruction from Econommic Time Series Data: Improving Models of Complex Real-World Dynamic Systems
title_short Phase Space Reconstruction from Econommic Time Series Data: Improving Models of Complex Real-World Dynamic Systems
title_sort phase space reconstruction from econommic time series data improving models of complex real world dynamic systems
topic phase space reconstruction
time series data
economic dynamics
url http://centmapress.ilb.uni-bonn.de/ojs/index.php/fsd/article/view/89
work_keys_str_mv AT rayhuffaker phasespacereconstructionfromeconommictimeseriesdataimprovingmodelsofcomplexrealworlddynamicsystems