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Fractal attractors and singular invariant measures in two-sector growth models with random factor shares

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dc.contributor.author La Torre, Davide
dc.contributor.author Marsiglio, Simone
dc.contributor.author Mendivil, Franklin
dc.contributor.author Privileggi, Fabio
dc.creator Davide, La Torre
dc.date.accessioned 2017-12-22T03:44:17Z
dc.date.available 2017-12-22T03:44:17Z
dc.date.issued 2018-05-01
dc.identifier DOI:10.1016/j.cnsns.2017.07.008
dc.identifier.citation Davide La Torre, Simone Marsiglio, Franklin Mendivil, Fabio Privileggi, Fractal attractors and singular invariant measures in two-sector growth models with random factor shares, In Communications in Nonlinear Science and Numerical Simulation, Volume 58, 2018, Pages 185-201 en_US
dc.identifier.issn 10075704
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S1007570417302514
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/3021
dc.description.abstract Abstract We analyze a multi-sector growth model subject to random shocks affecting the two sector-specific production functions twofold: the evolution of both productivity and factor shares is the result of such exogenous shocks. We determine the optimal dynamics via Euler–Lagrange equations, and show how these dynamics can be described in terms of an iterated function system with probability. We also provide conditions that imply the singularity of the invariant measure associated with the fractal attractor. Numerical examples show how specific parameter configurations might generate distorted copies of the Barnsley’s fern attractor. en_US
dc.language.iso en en_US
dc.publisher Communications in Nonlinear Science and Numerical Simulation en_US
dc.relation.ispartof Communications in Nonlinear Science and Numerical Simulation
dc.subject Two-sector growth model en_US
dc.subject Stochastic factor shares en_US
dc.subject Fractal attractors en_US
dc.subject Singular measures en_US
dc.title Fractal attractors and singular invariant measures in two-sector growth models with random factor shares en_US
dc.type Article en_US
dc.rights.license © 2017 Elsevier B.V. All rights reserved.
elsevier.identifier.doi 10.1016/j.cnsns.2017.07.008
elsevier.identifier.eid 1-s2.0-S1007570417302514
elsevier.identifier.pii S1007-5704(17)30251-4
elsevier.identifier.scopusid 85025132579
elsevier.volume 58
elsevier.issue.name Special Issue on "Dynamic Models in Economics and Finance"
elsevier.coverdate 2018-05-01
elsevier.coverdisplaydate May 2018
elsevier.startingpage 185
elsevier.endingpage 201
elsevier.openaccess 0
elsevier.openaccessarticle false
elsevier.openarchivearticle false
elsevier.teaser We analyze a multi-sector growth model subject to random shocks affecting the two sector-specific production functions twofold: the evolution of both productivity and factor shares is the result of...
elsevier.aggregationtype Journal
workflow.import.source science


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