2018
DOI: 10.1016/j.jmateco.2017.10.007
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On growing through cycles: Matsuyama’s M-map and Li–Yorke chaos

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Cited by 9 publications
(5 citation statements)
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“…Finally, at the technical front, one may wonder whether our model harbors additional properties that are beyond the mathematical scope of the present paper. Contributions like Mukherji (2005), Gardini, Sushko, andNaimzada (2008), and Deng and Khan (2018) elicit such properties for the model of Matsuyama (1999). Studies of this kind applied to our model would certainly shed light on the role of the linear segment of our dynamical system for the global dynamics and on the link between the possibility of chaos and the instability of the cycles we identify.…”
Section: Discussionmentioning
confidence: 78%
“…Finally, at the technical front, one may wonder whether our model harbors additional properties that are beyond the mathematical scope of the present paper. Contributions like Mukherji (2005), Gardini, Sushko, andNaimzada (2008), and Deng and Khan (2018) elicit such properties for the model of Matsuyama (1999). Studies of this kind applied to our model would certainly shed light on the role of the linear segment of our dynamical system for the global dynamics and on the link between the possibility of chaos and the instability of the cycles we identify.…”
Section: Discussionmentioning
confidence: 78%
“…Finally, at the technical front, one may wonder whether our model harbors additional properties that are beyond the mathematical scope of the present paper. Contributions like Mukherji (2005), Gardini, Sushko, and Naimzada (2008), and Deng and Khan (2018) elicit such properties for the model of Matsuyama (1999). Studies of this kind applied to our model would certainly shed light on the role of the linear segment of our dynamical system for the global dynamics and on the link between the possibility of chaos and the instability of the cycles we identify.…”
Section: Discussionmentioning
confidence: 85%
“…Recent studies examine conditions under which equilibrium dynamical systems generate paths with periodic fluctuations, as well as paths that converge to a steady state (see [27][28][29]). Several studies consider endogenous growth models with innovation and investigate the range of parameters in which complex periodic fluctuations can occur (see [30][31][32][33][34][35]). In these studies, endogenous cycles can occur by characteristics and constraints in the production sector.…”
Section: Introductionmentioning
confidence: 99%