Formation of preferences for income redistribution: a worldwide study from 1989 to 2020
| dc.creator | Thales Souza Lima | |
| dc.date.accessioned | 2023-03-17T20:47:42Z | |
| dc.date.accessioned | 2025-09-08T23:10:02Z | |
| dc.date.available | 2023-03-17T20:47:42Z | |
| dc.date.issued | 2022-12-13 | |
| dc.description.sponsorship | CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico | |
| dc.identifier.uri | https://hdl.handle.net/1843/51021 | |
| dc.language | eng | |
| dc.publisher | Universidade Federal de Minas Gerais | |
| dc.rights | Acesso Aberto | |
| dc.subject | Renda | |
| dc.subject | Distribuição | |
| dc.subject | Capital | |
| dc.subject | Economia | |
| dc.subject.other | Preferences for Redistribution | |
| dc.title | Formation of preferences for income redistribution: a worldwide study from 1989 to 2020 | |
| dc.title.alternative | Formação de preferências por redistribuição de renda: um estudo mundial de 1989 a 2020 | |
| dc.type | Dissertação de mestrado | |
| local.contributor.advisor-co1 | Lizía de Figueiredo | |
| local.contributor.advisor-co1 | Mehtap Hisarciklilar | |
| local.contributor.advisor1 | Igor Viveiros | |
| local.contributor.advisor1Lattes | http://lattes.cnpq.br/6291986841918006 | |
| local.contributor.referee1 | Ronaldo Nazaré | |
| local.contributor.referee1 | Thiago Henrique Carneiro Rios Lopes | |
| local.creator.Lattes | http://lattes.cnpq.br/7476420626640431 | |
| local.description.resumo | Preferences for income redistribution (PfR) may be affected by multiple individual characteristics such as age, gender, health, income, social class, ideology, race and beliefs. Using OLS estimations and treating likert-scale variables as continuous, Alesina & Giuliano (2011) showed that these attributes matter to the formation of preferences for redistribution. We first argue that we should test the relation between these characteristics and PfR by treating these variables as categoricals, in order to properly understand the relation between each step and the formation of PfR. We do so by running LSDV models, comparing our results to the ones found in their paper and adding the last two waves of the World Value Survey (WVS). Alongside many studies in the field, Alesina & Giuliano (2011) pool multiple sets of international surveys, such as the WVS, and control for time and country fixed effects. We also argue that the context in which each survey was taken may affect the formation of PfR, so we propose a different approach to the time analysis: to run separate models, one for each point of time and compare the coefficients. We corroborate the findings in Alesina & Giuliano (2011) for income, ideology and gender and show that our specifications allowed us to see that different income levels and ideological granularities affect PfR differently. We also find that the context seems to matter for the formation of PfR, however individual aspects ate the main driver to the formation of PfR. | |
| local.publisher.country | Brasil | |
| local.publisher.initials | UFMG | |
| local.publisher.program | Programa de Pós-Graduação em Economia |