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Analyzing the 2019 Chilean social outbreak: Modelling Latin American economies

In this work, we propose a quantitative model for the 2019 Chilean protests. We utilize public data for the consumer price index, the gross domestic product, and the employee and per capita income distributions as inputs for a nonlinear diffusion-reaction equation, the solutions to which provide an...

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Detalles Bibliográficos
Autores principales: Curilef, Sergio, González, Diego, Calderón, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372884/
https://www.ncbi.nlm.nih.gov/pubmed/34407081
http://dx.doi.org/10.1371/journal.pone.0256037
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author Curilef, Sergio
González, Diego
Calderón, Carlos
author_facet Curilef, Sergio
González, Diego
Calderón, Carlos
author_sort Curilef, Sergio
collection PubMed
description In this work, we propose a quantitative model for the 2019 Chilean protests. We utilize public data for the consumer price index, the gross domestic product, and the employee and per capita income distributions as inputs for a nonlinear diffusion-reaction equation, the solutions to which provide an in-depth analysis of the population dynamics. Specifically, the per capita income distribution stands out as a solution to the extended Fisher-Kolmogorov equation. According to our results, the concavity of employee income distribution is a decisive input parameter and, in contrast to the distributions typically observed for Chile and other countries in Latin America, should ideally be non-negative. Based on the results of our model, we advocate for the implementation of social policies designed to stimulate social mobility by broadening the distribution of higher salaries.
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spelling pubmed-83728842021-08-19 Analyzing the 2019 Chilean social outbreak: Modelling Latin American economies Curilef, Sergio González, Diego Calderón, Carlos PLoS One Research Article In this work, we propose a quantitative model for the 2019 Chilean protests. We utilize public data for the consumer price index, the gross domestic product, and the employee and per capita income distributions as inputs for a nonlinear diffusion-reaction equation, the solutions to which provide an in-depth analysis of the population dynamics. Specifically, the per capita income distribution stands out as a solution to the extended Fisher-Kolmogorov equation. According to our results, the concavity of employee income distribution is a decisive input parameter and, in contrast to the distributions typically observed for Chile and other countries in Latin America, should ideally be non-negative. Based on the results of our model, we advocate for the implementation of social policies designed to stimulate social mobility by broadening the distribution of higher salaries. Public Library of Science 2021-08-18 /pmc/articles/PMC8372884/ /pubmed/34407081 http://dx.doi.org/10.1371/journal.pone.0256037 Text en © 2021 Curilef et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Curilef, Sergio
González, Diego
Calderón, Carlos
Analyzing the 2019 Chilean social outbreak: Modelling Latin American economies
title Analyzing the 2019 Chilean social outbreak: Modelling Latin American economies
title_full Analyzing the 2019 Chilean social outbreak: Modelling Latin American economies
title_fullStr Analyzing the 2019 Chilean social outbreak: Modelling Latin American economies
title_full_unstemmed Analyzing the 2019 Chilean social outbreak: Modelling Latin American economies
title_short Analyzing the 2019 Chilean social outbreak: Modelling Latin American economies
title_sort analyzing the 2019 chilean social outbreak: modelling latin american economies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372884/
https://www.ncbi.nlm.nih.gov/pubmed/34407081
http://dx.doi.org/10.1371/journal.pone.0256037
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