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Identifying poverty traps based on the network structure of economic output

dc.contributor.advisorDuque Cardona, Juan Carlos
dc.contributor.advisorPiedrahíta Escobar, Carlos César
dc.contributor.authorEcheverri Figueroa, Vanessa
dc.coverage.spatialLat: 06 15 00 N  degrees minutes  Lat: 6.2500  decimal degreesLong: 075 36 00 W  degrees minutes  Long: -75.6000  decimal degrees
dc.date.accessioned2022-04-28T15:39:51Z
dc.date.available2022-04-28T15:39:51Z
dc.date.issued2021-10-19
dc.identifier.otherT 0175 2021
dc.identifier.urihttp://hdl.handle.net/11407/6851
dc.descriptionIn this work, we explore the relationship between monetary poverty and production combining relatedness theory, graph theory, and regression analysis. We develop two measures at product level that capture short-run and long-run patterns of poverty, respectively. We use the network of related products (or product space) and both metrics to estimate the influence of the productive structure of a country in its current and future levels of poverty. We found that poverty is highly associated with poorly connected nodes in the PS, especially products based on natural resources. We perform a series of regressions with several controls (including human capital, institutions, income, and population) to show the robustness of our measures as predictors of poverty. Finally, by means of some illustrative examples, we show how our measures distinguishes between nuanced cases of countries with similar poverty and production and identify possibilities of improving their current poverty levels.eng
dc.format.extentp. 1-39
dc.format.mediumElectrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0*
dc.subjectPovertyeng
dc.subjectPoverty trapseng
dc.subjectQuiescence trapseng
dc.subjectProduct spaceeng
dc.subjectEconomic developmenteng
dc.subjectRelatedness theoryeng
dc.titleIdentifying poverty traps based on the network structure of economic outputspa
dc.rights.accessrightsinfo:eurepo/semantics/openAccess
dc.publisher.programMaestría en Modelación y Ciencia Computacionalspa
dc.subject.lembAnálisis de regresiónspa
dc.subject.lembDesarrollo económicospa
dc.subject.lembPobreza - Aspectos económicosspa
dc.subject.lembProducciónspa
dc.relation.citationstartpage1
dc.relation.citationendpage39
dc.audienceComunidad Universidad de Medellín
dc.publisher.facultyFacultad de Ciencias Básicasspa
dc.publisher.placeMedellín
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dc.rights.creativecommonsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.type.localTesis de Maestría
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.description.degreenameMagíster en Modelación y Ciencia Computacionalspa
dc.description.degreelevelMaestríaspa
dc.publisher.grantorUniversidad de Medellínspa


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