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Natural interest rate in Brazil: further evidence frThe main objective of this study is to estimate the natural interest rate for Brazil using a parsimonious AR-trend-bound model proposed by Chan, Koop and Potter (2013). This model considers a time varying autoregressive process for the interest rate gap (difference between real interest rate and natural interest rate) and stochastic volatility (time-variant uncertainty). The interest rate gap measures the monetary policy stance. Furthermore, the unobserved latent states are limited, which can help to reduce the uncertainty regarding the estimation of these variables. This method presents plausible results for the Brazilian case. The average natural interest rate is around 5.41% p.a. The interest rate gap is positive until mid 2009, which indicates a restrictive policy for the period. Since then, the gap has had predominantly negative values, which indicates an expansionist policy. This result is consistent with the dynamics of the Brazilian economy.om an AR-trend-bound model

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  • Andreza A Palma

    (Department of Economics, Federal University of São Carlos)

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  • Andreza A Palma, 2016. "Natural interest rate in Brazil: further evidence frThe main objective of this study is to estimate the natural interest rate for Brazil using a parsimonious AR-trend-bound model proposed by Chan, Koo," Economics Bulletin, AccessEcon, vol. 36(3), pages 1306-1314.
    • Handle: RePEc:ebl:ecbull:eb-16-00116
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    References listed on IDEAS

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    4. Chan, Joshua & Strachan, Rodney, 2012. "Estimation in Non-Linear Non-Gaussian State Space Models with Precision-Based Methods," MPRA Paper 39360, University Library of Munich, Germany.
    5. Jeffery D. Amato, 2005. "The role of the natural rate of interest in monetary policy," BIS Working Papers 171, Bank for International Settlements.
    6. Areosa, Waldyr Dutra & Medeiros, Marcelo, 2007. "Inflation Dynamics in Brazil: The Case of a Small Open Economy," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 27(1), May.
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    More about this item

    Keywords

    non-linear state space model; interest rate forecasting; natural interest rate; Bayesian methods; AR-trend-bound model;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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