Quarterly Projection Model for the National Bank of Rwanda

J. Vlček, M. Pranovich, P. Hitayezu, Bruno Mwenese, Christian Nyalihama
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引用次数: 3

Abstract

National Bank of Rwanda (BNR) modernized monetary policy and transited to the price-based policy framework in January 2019. The Forecasting and Policy Analysis System (FPAS) is the cornerstone for the new forward-looking framework, which mobilizes and organizes resources and sets processes for regular forecasting rounds. The core of this system is a structural macroeconomic model for macroeconomic analysis and projections to support the BNR staff’s policy recommendations to the monetary policy committee. This paper documents the quarterly projection model (QPM) at the core of the FPAS at the BNR. The model is an extension of the canonical structure in Berg et al (2006) to reflect specifics of the interest-rate-based policy framework with a managed exchange rate, the effect of agricultural sector and harvests on prices, and the role of fiscal policies and aid flows.
卢旺达国家银行季度预测模型
卢旺达国家银行(BNR)于2019年1月实现了货币政策现代化,并过渡到以价格为基础的政策框架。预测和政策分析系统是新的前瞻性框架的基石,该框架调动和组织资源,并为定期预测制定程序。该系统的核心是一个结构性宏观经济模型,用于宏观经济分析和预测,以支持BNR工作人员向货币政策委员会提出的政策建议。本文以季度预测模型(QPM)为核心,对BNR的FPAS进行了研究。该模型是Berg等人(2006)的规范结构的延伸,以反映汇率管理下以利率为基础的政策框架的细节,农业部门和收成对价格的影响,以及财政政策和援助流动的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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