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Um método para aplicação de redes neurais na estimativa de elasticidades de funções econîmicas

de Castro Oliveira, Sidney; Sicsú, João; de Oliveira … - In: Economia aplicada : EA 7 (2003) 4, pp. 743-766

Persistent link: https://www.econbiz.de/10002080657

Previsão de séries de tempo : redes neurais artificiais estruturais

Fernandes, Luiz Gustavo L. - In: Pesquisa e planejamento econômico : PPE 26 (1996) 2, pp. 253-276

Persistent link: https://www.econbiz.de/10001233414

Aplicação de modelos dinâmicos bayesianos para projeção de arrecadação tributária

Gadelha, Sérgio Ricardo B.; Medrano, Luis Alberto Toscano - 2020

In this study, we undertook an econometric analysis aim to forecast the disaggregated series of ICMS administered by … three types of results: i) the evaluation of the forecast; ii) the elasticity of the tax in relation to the relevant … validate the forecast displayed a quite reasonable performance. From about 20 series for each state, approximately 80% register …

Persistent link: https://www.econbiz.de/10012616488

Previsão de inflação: análise preliminar de desempenho de técnicas de machine learning

Santos, Francisco; Nolau, Izabel - 2022

In this Discussion Paper, we test forecasting models for inflation and economic activity with macroeconomic data and economic surveys between January 2002 and October 2019 on a monthly basis. Due to the high dimension nature of the set of explanatory variables, we use machine learning (ML)...

Persistent link: https://www.econbiz.de/10014486096

Um modelo econométrico para previsão de consumo residencial de energia elétrica no Brasil

de Mendonça, Mário Jorge Cardoso; Lavagnol, Marcus … - 2019

the purpose of making projections. The different forecast validation criteria calculated for a 12-month horizon showed … very satisfactory results. In all cases, MLD had a forecast error within the 3% range, taken as a reference for the …

Persistent link: https://www.econbiz.de/10012146853