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Professor Advisordc.contributor.advisorGutiérrez Cubillos, Pablo Antonio
Authordc.contributor.authorCastro Nofal, Bastián
Admission datedc.date.accessioned2024-09-11T16:18:00Z
Available datedc.date.available2024-09-11T16:18:00Z
Publication datedc.date.issued2024
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/200996
Abstractdc.description.abstractThis paper explores the optimal structure of the income tax schedule in the United States, considering factors such as private insurance and tax avoidance. The analysis reveals that tax avoidance mechanisms contribute to the observed regressivity at the top of the income distribution. Wealthier households engage in more avoidance, reducing their labor income taxes. The introduction of tax avoidance also alters the optimal income tax progressivity, with an omniscient planner allowing for increased progressivity, while a myopic planner suggests minimal changes, unaware of avoidance’s impact on aggregate production.es_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherUniversidad de Chilees_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
Keywordsdc.subjectImpuesto a la rentaes_ES
Keywordsdc.subjectSeguroses_ES
Keywordsdc.subjectEvasión fiscales_ES
Keywordsdc.subjectEstados Unidoses_ES
Area Temáticadc.subject.otherEconomíaes_ES
Títulodc.title“Optimal income taxation under informal consumption”es_ES
Document typedc.typeTesises_ES
dc.description.versiondc.description.versionVersión original del autores_ES
dcterms.accessRightsdcterms.accessRightsAcceso abiertoes_ES
Catalogueruchile.catalogadormsaes_ES
Departmentuchile.departamentoEscuela de Postgradoes_ES
Facultyuchile.facultadFacultad de Economía y Negocioses_ES
uchile.gradoacademicouchile.gradoacademicoMagisteres_ES
uchile.notadetesisuchile.notadetesisTesis para optar al grado de Magíster en Economíaes_ES


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States