BSP的预测和政策分析系统

Zeno Ronald R. Abenoja, Jasmin Dacio, Sarah Jane Castañares, J. Ocampo, Mark Rex Romaraog
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摘要

菲律宾中央银行(BSP)将预测和政策分析系统(FPAS)作为宏观经济预测和分析的框架,以支持货币政策的制定。FPAS是一个标准框架,被许多“以汇率为目标”的中央银行采用,用于组织与货币政策制定相关的经济信息的生成、整合和分析。本文旨在描述如何生成宏观经济预测和政策模拟,以支持BSP的货币政策分析和制定。为此,本文总结了生成基线预测、备选方案和策略模拟所涉及的过程的主要特征。我们强调了BSP的一套模型和来自行业专家的专家判断所发挥的互补作用,以及预测沟通在货币政策传导中的重要性。最后,我们对2010年至2020年期间BSP的预测性能进行了系统评估,并给出了2019冠状病毒病大流行期间的一些预测经验教训,以及最近为改进BSP的FPAS所做的努力。
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The BSP's Forecasting and Policy Analysis System
The Bangko Sentral ng Pilipinas (BSP) subscribes to the Forecasting and Policy Analysis System (FPAS) as the framework for macroeconomic forecasting and analysis in support of monetary policy formulation. FPAS is a standard framework, adopted by many in"ation-targeting central banks, that organizes the generation, consolidation, and analysis of economic information relavant to monetary policy formulation. This paper aims to describe how macroeconomic forecasts and policy simulations are generated to support monetary policy analysis and formulation at the BSP. To this end, this article summarizes the main features of the process involved in generating the baseline forecasts, alternative scenarios, and policy simulations. We highlight the complementary roles played by the BSP’s suite of models and the expert judgement from the sector specialists as well as the importance of forecast communication in the transmission of monetary policy. Finally, we present a systematic evaluation of the forecasting performance of the BSP from 2010 to 2020 together with some of the lessons in forecasting during the COVID-19 pandemic and the recent efforts to improve the BSP’s FPAS.
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