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Addressing bias in politician characteristic regression discontinuity designs

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authorProfile.id.code201632338es_CO
dc.contributor.advisorFergusson Talero, Leopoldo
dc.contributor.advisorFernandez Sierra, Manuel
dc.contributor.authorTorres Paz, Santiago
dc.contributor.id79982121es_CO
dc.contributor.id80872477es_CO
dc.contributor.juryCamacho González, Adriana
dc.contributor.juryMarshall, John
dc.date.accessioned2023-08-02T19:40:04Z
dc.date.available2023-08-02T19:40:04Z
dc.date.issued2023-08-01
dc.description.abstractPolitician characteristic regression discontinuity (PCRD) designs are a popular strategy when attempting to casually link a specific trait of an elected politician with a given outcome. However, recent research has revealed that this methodology often fails to retrieve the target causal effect¿a problem also known as the PCRD estimation bias. In this paper, I provide a new econometric framework to address this limitation in applied research. First, I propose a covariate-adjusted local polynomial estimator that corrects for the PCRD estimation bias provided all relevant confounders are observed. I then leverage the statistical properties of this estimator to propose several decompositions of the bias term and discuss their potential applications. Next, I devise a strategy to assess the robustness of the new estimator to omitted confounders that could potentially invalidate results. Finally, I illustrate these methods through an application: a PCRD aimed at evaluating the impact of female leadership during the COVID-19 pandemic.
dc.description.degreelevelMaestríaes_CO
dc.description.degreenameMagíster en Economía
dc.format.extent84 páginases_CO
dc.format.mimetypeapplication/pdfes_CO
dc.identifier.instnameinstname:Universidad de los Andeses_CO
dc.identifier.reponamereponame:Repositorio Institucional Sénecaes_CO
dc.identifier.repourlrepourl:https://repositorio.uniandes.edu.co/es_CO
dc.identifier.urihttps://hdl.handle.net/1992/69091
dc.language.isoenges_CO
dc.publisherUniversidad de los Andeses_CO
dc.publisher.facultyFacultad de Economíaes_CO
dc.publisher.programMaestría en Economíaes_CO
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dc.subject.keywordRegression discontinuity designs
dc.subject.keywordClose elections
dc.subject.keywordBias correction
dc.subject.keywordSensitivity analysis
dc.subject.themesEconomíaes_CO
dc.titleAddressing bias in politician characteristic regression discontinuity designs
dc.typeTrabajo de grado - Maestríaes_CO
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