Bacharelado em Ciências Econômicas (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/7
Siglas das Coleções:
APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso
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Resultados da Pesquisa
Item Indicador de Desigualdades e Aprendizagens (IDeA): uma análise do estado de Pernambuco(2023-04-28) Silva, Déborah Cristina Saldanha Amorim; Gomes, Sónia Maria Fonseca Pereira Oliveira; http://lattes.cnpq.br/9795791528582607; http://lattes.cnpq.br/9164994279562652Investigating Brazil's educational system, it is evident that there is unequal access and quality of education provided to different social groups. This study seeks to explore the state of educational equity in the state of Pernambuco, utilizing the Indicator of Inequalities and Learning (IDeA) as a tool. Specifically, the study proposes an analysis of results obtained from 2011 to 2017, segmented by socioeconomic status, race/ethnicity, and gender, with an emphasis on NSE. This analysis will help to illustrate the extent of inequality across the mesoregions of the state. Furthermore, the study will examine possible underlying causes of this inequality through panel data analysis.Item Análise das disparidades nos indicadores educacionais municipais de Pernambuco: uma análise de aglomerados(2019) Silva, Joed Freire Pereira da; Soares, Ana Paula Amazonas; http://lattes.cnpq.br/0216127558312955This paperis an exploratory and analytical studyabout educational indicatorsdisparities and the introduction of socioeconomic indicators, both models formunicipalities of the State Pernambuco, Brazil. The objective is to verify the distribution of the indicators in the territoryof Pernambuco, linking them togeographical space, and then introducing the socioeconomic indicators. Therefore, the changes could be pointing out the municipalities that need more attention and, in addition, to identify the formation of groups with similar characteristics. For this, the technique known ascluster analysis was used. With Ward Distance Agglomerative Hierarchical Process three estimates were made introducing new information gradually and verifying the formation dynamics of the groups. The technique clearly identified the regional distributionof learning and quality of life indicators in the state. The results showed that income does not fully explain the best learning outcomes. Similarly, resources redistributed to education through FUNDEB were not sufficient to determine better educational indicators. Regarding the clusters, it was observed that although the formation of groups of municipalities that are homogeneous and spatially neighboring occurs, similarity also occurs regardless of proximity. Finally, we tried to highlight some limitations of the technique used.Item Relação entre os desvios dos recursos federais para a educação e os indicadores educacionais: o que os dados têm a dizer?(2018) Pontes, Thais Melyssa; Abreu, Eliane Aparecida Pereira de; http://lattes.cnpq.br/3101422198167935; http://lattes.cnpq.br/8528034094307704This paper commits itself to measure the impact of the corruption of educational resources on educational indicators. For this, this test was used of all the CGU inspection reports carried out in the municipalities of Pernambuco from 2006 to 2015 in the educational sphere.With regard to educational indicators, the following were used: Ideb (Basic Education Development Index) of the 5th and 9th year of elementary school, School Abandonment in High School and School Abandonment in Elementary School; to substantiate the relationship were added some economic data: the average of Per capita GDP, average Per Capita Expenditures, average of Transfers of Per Capita Resources.At first, a descriptive analysis was done, followed by a multiple regression model, with educational indicators as dependent variables and the other variables as independent variables. As a result, based on the IDEB and the Abandonment Rate, there is a direct relationship between these educational indicators and the corruption index.