Credibility of the Central Bank and GDP expectations: an alternative analysis on the Brazilian’s sacrifice rates from 2002 to 2018

Autores/as

DOI:

https://doi.org/10.5433/2317-627X.2020v8n2p211

Palabras clave:

Credibility, GDP, Monetary policy, Brazil

Resumen

Recent literature on Central Bank sacrifice rates and credibility points out that an improvement in credibility generates an improvement (decrease) in sacrifice rates. This paper seeks to analyze whether this effect can be directly observed in GDP expectations. Thus, we seek to demonstrate that GDP expectations can be used as proxy for sacrifice rates. The analysis will be based on a VAR model and impulse response functions for Brazil from 2002 to 2018. The results indicated that increases in the Central Bank credidibility does not imply in short term (first 12 months) gains of GDP expectations. Nevertheless, after the first year, GDP expectations show an effective increase, thereby indicating a lower long term sacrifice rate perception.

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Biografía del autor/a

Giovani da Silva Oliveira, Universidade Federal do Espírito Santo - Ufes

PhD student in Economic from the Universidade Federal do Espírito Santo (UFES), Capes;

Rafael Barbieri Camatta, Universidade Federal do Espírito Santo - Ufes

PhD student in Economic from the Universidade Federal do Espírito Santo (UFES), Fapes;

Renzo Caliman Souza, Universidade Federal do Espírito Santo - Ufes

Master student in Economic from Universidade Federal do Espírito Santo (UFES), Fapes;

Ricardo Ramalhete Moreira, Universidade Federal do Espírito Santo - Ufes

Professor at the Department of Economics at the Federal University of Espírito Santo - UFES, itaria, Espírito Santo, Brazil. CNPq researcher.

Citas

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Publicado

2020-12-01

Cómo citar

Oliveira, G. da S., Camatta, R. B., Souza, R. C., & Moreira, R. R. (2020). Credibility of the Central Bank and GDP expectations: an alternative analysis on the Brazilian’s sacrifice rates from 2002 to 2018. Economia & Região, 8(2), 211–229. https://doi.org/10.5433/2317-627X.2020v8n2p211

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