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A stochastic dynamic model to evaluate the influence of economy and well-being on unemployment control

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A stochastic dynamic model to evaluate the influence of economy and well-being on unemployment control

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Soler Fernández, D.; Sanz, MT.; Caselles, A.; Micó, JC. (2018). A stochastic dynamic model to evaluate the influence of economy and well-being on unemployment control. Journal of Computational and Applied Mathematics. 330:1063-1080. https://doi.org/10.1016/j.cam.2017.04.033

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/121426

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Title: A stochastic dynamic model to evaluate the influence of economy and well-being on unemployment control
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Embargo end date: 2020-03-01
Abstract:
[EN] This paper presents a stochastic dynamic mathematical model to study the evolution of the unemployment rate and other relevant related variables in a country. This model is composed by three basic interrelated subsystems: ...[+]
Subjects: Unemployment rate , United Nations well-being variables , Sex/age-structured population dynamics , Stochastic model , Forecasting
Copyrigths: Embargado
Source:
Journal of Computational and Applied Mathematics. (issn: 0377-0427 )
DOI: 10.1016/j.cam.2017.04.033
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.cam.2017.04.033
Type: Artículo

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