Modeling of Macroeconomics by a Novel Discrete Nonlinear Fractional Dynamical System

We propose a new nonlinear economic system with fractional derivative. According to the Jumarie’s definition of fractional derivative, we obtain a discrete fractional nonlinear economic system. Three variables, the gross domestic production, inflation, and unemployment rate, are considered by this n...

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Main Authors: Zhenhua Hu, Wen Chen
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/275134
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author Zhenhua Hu
Wen Chen
author_facet Zhenhua Hu
Wen Chen
author_sort Zhenhua Hu
collection DOAJ
description We propose a new nonlinear economic system with fractional derivative. According to the Jumarie’s definition of fractional derivative, we obtain a discrete fractional nonlinear economic system. Three variables, the gross domestic production, inflation, and unemployment rate, are considered by this nonlinear system. Based on the concrete macroeconomic data of USA, the coefficients of this nonlinear system are estimated by the method of least squares. The application of discrete fractional economic model with linear and nonlinear structure is shown to illustrate the efficiency of modeling the macroeconomic data with discrete fractional dynamical system. The empirical study suggests that the nonlinear discrete fractional dynamical system can describe the actual economic data accurately and predict the future behavior more reasonably than the linear dynamic system. The method proposed in this paper can be applied to investigate other macroeconomic variables of more states.
format Article
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institution Kabale University
issn 1026-0226
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language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-97a5e0d0037f41b29fc78d19a0ad40b72025-02-03T06:08:48ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/275134275134Modeling of Macroeconomics by a Novel Discrete Nonlinear Fractional Dynamical SystemZhenhua Hu0Wen Chen1Business School, Central South University, Changsha, Hunan 410083, ChinaBusiness School, Central South University, Changsha, Hunan 410083, ChinaWe propose a new nonlinear economic system with fractional derivative. According to the Jumarie’s definition of fractional derivative, we obtain a discrete fractional nonlinear economic system. Three variables, the gross domestic production, inflation, and unemployment rate, are considered by this nonlinear system. Based on the concrete macroeconomic data of USA, the coefficients of this nonlinear system are estimated by the method of least squares. The application of discrete fractional economic model with linear and nonlinear structure is shown to illustrate the efficiency of modeling the macroeconomic data with discrete fractional dynamical system. The empirical study suggests that the nonlinear discrete fractional dynamical system can describe the actual economic data accurately and predict the future behavior more reasonably than the linear dynamic system. The method proposed in this paper can be applied to investigate other macroeconomic variables of more states.http://dx.doi.org/10.1155/2013/275134
spellingShingle Zhenhua Hu
Wen Chen
Modeling of Macroeconomics by a Novel Discrete Nonlinear Fractional Dynamical System
Discrete Dynamics in Nature and Society
title Modeling of Macroeconomics by a Novel Discrete Nonlinear Fractional Dynamical System
title_full Modeling of Macroeconomics by a Novel Discrete Nonlinear Fractional Dynamical System
title_fullStr Modeling of Macroeconomics by a Novel Discrete Nonlinear Fractional Dynamical System
title_full_unstemmed Modeling of Macroeconomics by a Novel Discrete Nonlinear Fractional Dynamical System
title_short Modeling of Macroeconomics by a Novel Discrete Nonlinear Fractional Dynamical System
title_sort modeling of macroeconomics by a novel discrete nonlinear fractional dynamical system
url http://dx.doi.org/10.1155/2013/275134
work_keys_str_mv AT zhenhuahu modelingofmacroeconomicsbyanoveldiscretenonlinearfractionaldynamicalsystem
AT wenchen modelingofmacroeconomicsbyanoveldiscretenonlinearfractionaldynamicalsystem