1996
DOI: 10.1007/bf01202371
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How to control a chaotic economy?

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Cited by 58 publications
(25 citation statements)
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“…Id), the oscillation amplitudes are rather limited. This is due to the non-linearity of model equations (70) to (69) and due to the phase shifts between oscillations of different economic sectors i. Note that irregular oscillations with frequencies between 4 to 6 years and amplitudes of about 2.5% are qualitatively well compatible with empirical business cycles.…”
Section: Reproduction Of Some Empirically Observed Features Of Businementioning
confidence: 77%
“…Id), the oscillation amplitudes are rather limited. This is due to the non-linearity of model equations (70) to (69) and due to the phase shifts between oscillations of different economic sectors i. Note that irregular oscillations with frequencies between 4 to 6 years and amplitudes of about 2.5% are qualitatively well compatible with empirical business cycles.…”
Section: Reproduction Of Some Empirically Observed Features Of Businementioning
confidence: 77%
“…There also exists a number of applications of chaos control methods in economic contexts. Holyst et al (1996) apply the OGY method to a model of two competing firms. Kopel (1997) shows in a competitive market model how firms can improve their performance measures by the use of the target method.…”
Section: Discussionmentioning
confidence: 99%
“…Holyst, Hagel, Haag, and Weidlich (1996) apply the OGY method to a case of two competing firms with asymmetric investment strategies and Haag, Hagel, and Sigg (1997) apply the OGY method to stabilizing a chaotic urban system, while Kopel (1997) applies the global targeting method to a model of disequilibrium dynamics with financial feedbacks as do Bala, Majumdar, and Mitra (1998) to a model of tâtonnement adjustment. Kaas (1998) suggests the application of both in a macroeconomic stabilization context.…”
Section: Controlling Chaosmentioning
confidence: 99%