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Introducing a Semi-Structural Macroeconomic Model for Rwanda

Author

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  • Ms. Luisa Charry
  • Pranav Gupta
  • Mr. Vimal V Thakoor

Abstract

We develop a simple semistructural model for the Rwandan economy to better understand the monetary policy transmission mechanism. A key feature of the model is the introduction of a modified uncovered interest parity condition to capture key structural features of Rwanda’s economy and policy framework, such as the limited degree of capital mobility. A filtration of the observed data through the model allows us to illustrate the contribution of various factors to inflation dynamics and its deviations from the inflation target. Our results, consistent with evidence for other countries in the region, suggest that food and oil prices as well as the exchange rate have accounted for the bulk of inflation dynamics in Rwanda.

Suggested Citation

  • Ms. Luisa Charry & Pranav Gupta & Mr. Vimal V Thakoor, 2014. "Introducing a Semi-Structural Macroeconomic Model for Rwanda," IMF Working Papers 2014/159, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2014/159
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    References listed on IDEAS

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    1. Laurence Ball, 1994. "What Determines the Sacrifice Ratio?," NBER Chapters, in: Monetary Policy, pages 155-193, National Bureau of Economic Research, Inc.
    2. Michal Andrle & Mr. Andrew Berg & Rogelio Morales & Mr. Rafael A Portillo & Mr. Jan Vlcek, 2013. "Forecasting and Monetary Policy Analysis in Low-Income Countries: Food and non-Food Inflation in Kenya," IMF Working Papers 2013/061, International Monetary Fund.
    3. Jaromír Beneš & Jaromír Hurník & David Vávra, 2008. "Exchange Rate Management and Inflation Targeting: Modeling the Exchange Rate in Reduced-Form New Keynesian Models," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 58(03-04), pages 166-194, May.
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    Cited by:

    1. Marcela De Castro-Valderrama & Santiago Forero-Alvarado & Nicolás Moreno-Arias & Sara Naranjo-Saldarriaga, 2021. "Unraveling the Exogenous Forces Behind Analysts’ Macroeconomic Forecasts," Borradores de Economia 1184, Banco de la Republica de Colombia.
    2. Salome Tvalodze & Shalva Mkhatrishvili & Tamar Mdivnishvili & Davit Tutberidze & Zviad Zedginidze, 2016. "The National Bank of Georgia's Forecasting and Policy Analysis System," NBG Working Papers 01/2016, National Bank of Georgia.

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