Income Inequality and Redistributive Policies: from the Median Voter Theorem to preferences for redistribution using Twitter

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dc.contributor.advisor Bernasconi, Michele it_IT
dc.contributor.author Canaku, Eduardo <1996> it_IT
dc.date.accessioned 2020-10-15 it_IT
dc.date.accessioned 2021-02-02T10:17:09Z
dc.date.issued 2020-10-29 it_IT
dc.identifier.uri http://hdl.handle.net/10579/18420
dc.description.abstract This work examines the relationship between income inequality and redistributive policies. It reviews the previous theoretical literature, introducing the widely adopted framework of the Median Voter Theorem and its implications in terms of redistribution. Then, it summarizes the most important empirical works concerning this topic. Next, following previous literature, it implements an econometric analysis to investigate more accurately the theoretical relationship between income inequality and redistribution. Finally, it exploits Twitter data on different countries to analyze the population sentiment towards the level of redistribution actually implemented by governments. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Eduardo Canaku, 2020 it_IT
dc.title Income Inequality and Redistributive Policies: from the Median Voter Theorem to preferences for redistribution using Twitter it_IT
dc.title.alternative Income Inequality and Redistributive Policies: from the Median Voter Theorem to preferences for redistribution using Twitter it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Economia e finanza it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2019-2020_Sessione autunnale it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 856663 it_IT
dc.subject.miur SECS-P/03 SCIENZA DELLE FINANZE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Eduardo Canaku (856663@stud.unive.it), 2020-10-15 it_IT
dc.provenance.plagiarycheck Michele Bernasconi (bernasconi@unive.it), 2020-10-19 it_IT


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