Detalhes bibliográficos
Ano de defesa: |
2021 |
Autor(a) principal: |
Pedrosa, Lucas Silva |
Orientador(a): |
Moura, Fábio Rodrigues de |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Não Informado pela instituição
|
Programa de Pós-Graduação: |
Pós-Graduação em Economia
|
Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
|
Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
https://ri.ufs.br/jspui/handle/riufs/18807
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Resumo: |
This dissertation aims to present an alternative methodology for forecasting tax revenues in the states of the Northeast, managed by their Secretariats of Finance. For this, a linear regression model was used to project the most important state own tax revenue, the Tax on Circulation of Goods and Services (ICMS), based on the partial short-term effects of national macroeconomic variables, such as the GDP, inflation, basic interest rate and exchange rate. The study will be divided into four main parts: review of state revenues and taxes in Brazil, revenue forecasting methodologies, research methodology and presentation of results and discussions. The results obtained were satisfactory, so that it was possible to forecast the annual ICMS revenues of the Northeastern states with average absolute forecast errors between 1.48% and 6.83%. The results are important so that it is possible to estimate, within an acceptable degree of predictability, the ICMS revenues of the Northeastern states for the following year through the Annual Budget Law. |