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Uma medida de PIB Mensal para o Brasil usando o Term Spread

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  • Issler, João Victor
  • Pimentel, Luana Moreira de Miranda

Abstract

Neste trabalho, desenvolvemos um indicador coincidente da atividade econômica brasileira de frequência mensal, construído a partir de um modelo na forma espaço de estados e estimado por meio do filtro de Kalman. O modelo impõe uma restrição de que a soma da taxa instantânea de crescimento mensal do nosso indicador nos meses correspondentes ao trimestre deve se igualar à taxa instantânea de crescimento trimestral do PIB observado, divulgado pelo IBGE. Essa disciplina imposta pelo modelo e a escolha minuciosa das variáveis auxiliares, permitiu a obtenção de resultados satisfatórios nas análises dentro e fora da amostra. As variáveis auxiliares foram selecionadas com base em critérios estatísticos e também tendo em vista um modelo estrutural, que se fundamenta na Equação de Apreçamento dos Ativos e relaciona o spread atual entre retornos de ativos de maturidades distintas com a taxa de crescimento da atividade econômica futura. O indicador construído é útil para prever o crescimento do PIB tanto em trimestres passados que ainda não foram divulgados (backcast) quanto no trimestre corrente (nowcast).

Suggested Citation

  • Issler, João Victor & Pimentel, Luana Moreira de Miranda, 2019. "Uma medida de PIB Mensal para o Brasil usando o Term Spread," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 73(1), March.
  • Handle: RePEc:fgv:epgrbe:v:73:y:2019:i:1:a:75136
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    Cited by:

    1. Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner Piazza Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Artur Brasil Fialho Rodrigues, 2023. "Predicting Recessions in (almost) Real Time in a Big-data Setting," Working Papers Series 587, Central Bank of Brazil, Research Department.

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