2016
DOI: 10.5890/dnc.2016.06.001
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Exogenous Versus Endogenous for Chaotic Business Cycles

Abstract: We propose a novel approach to generate chaotic business cycles in a deterministic setting. Rather than producing chaos endogenously, we consider aggregate economic models with limit cycles and equilibriums, subject them to chaotic exogenous shocks and obtain chaotic cyclical motions. Thus, we emphasize that chaotic cycles, which are inevitable in economics, are not only interior properties of economic models, but also can be considered as a result of interaction of several economical systems. This provides a … Show more

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Cited by 4 publications
(2 citation statements)
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“…Chaos in the sense of Devaney [2] as well as the one obtained through period-doubling cascade [13] were investigated in our study [14] for economic models perturbed with exogenous shocks. It was shown in the paper [15] that exogenous shocks can cause economic models to exhibit chaotic business cycles. Other chaos generation techniques in systems of differential equations can be found in [16][17][18][19][20][21][22][23][24][25][26].…”
Section: Introductionmentioning
confidence: 99%
“…Chaos in the sense of Devaney [2] as well as the one obtained through period-doubling cascade [13] were investigated in our study [14] for economic models perturbed with exogenous shocks. It was shown in the paper [15] that exogenous shocks can cause economic models to exhibit chaotic business cycles. Other chaos generation techniques in systems of differential equations can be found in [16][17][18][19][20][21][22][23][24][25][26].…”
Section: Introductionmentioning
confidence: 99%
“…Our suggestion may be a key to explain why the weather unpredictability is observed everywhere. This is true also for unpredictability and lack of forecasting in economics [21,22]. To complete the explanation of weather and economical unpredictability as global phenomena by the analysis of interconnected models, we need to argument persistence of chaos of a model against chaotic perturbations as solutions of another similar models.…”
Section: Introductionmentioning
confidence: 99%