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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.
Banks and Banking --- Foreign Exchange --- Inflation --- Macroeconomics --- Agribusiness --- Money and Interest Rates: Forecasting and Simulation --- Monetary Policy --- Quantitative Policy Modeling --- Price Level --- Deflation --- Agriculture: Aggregate Supply and Demand Analysis --- Prices --- Interest Rates: Determination, Term Structure, and Effects --- Macroeconomics: Production --- Currency --- Foreign exchange --- Banking --- Agriculture, agribusiness & food production industries --- Food prices --- Exchange rates --- Central bank policy rate --- Real exchange rates --- Agricultural production --- Production --- Financial services --- Interest rates --- Agricultural industries --- Rwanda --- Quarterly review. --- Banks and Banking. --- Inflation. --- Macroeconomics. --- Agribusiness. --- Money and Interest Rates: Forecasting and Simulation. --- Monetary Policy. --- Quantitative Policy Modeling. --- Price Level. --- Deflation. --- Agriculture: Aggregate Supply and Demand Analysis. --- Prices. --- Interest Rates: Determination, Term Structure, and Effects. --- Macroeconomics: Production. --- Currency. --- Foreign exchange. --- Banking. --- Agriculture, agribusiness & food production industries. --- Food prices. --- Exchange rates. --- Central bank policy rate. --- Real exchange rates. --- Agricultural production. --- Production. --- Financial services. --- Interest rates. --- Agricultural industries. --- National Bank of Rwanda --- History. --- Rwanda.
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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.
Rwanda --- Quarterly review. --- National Bank of Rwanda --- History. --- Rwanda. --- Banks and Banking. --- Inflation. --- Macroeconomics. --- Agribusiness. --- Money and Interest Rates: Forecasting and Simulation. --- Monetary Policy. --- Quantitative Policy Modeling. --- Price Level. --- Deflation. --- Agriculture: Aggregate Supply and Demand Analysis. --- Prices. --- Interest Rates: Determination, Term Structure, and Effects. --- Macroeconomics: Production. --- Currency. --- Foreign exchange. --- Banking. --- Agriculture, agribusiness & food production industries. --- Food prices. --- Exchange rates. --- Central bank policy rate. --- Real exchange rates. --- Agricultural production. --- Production. --- Financial services. --- Interest rates. --- Agricultural industries. --- Agribusiness --- Agricultural industries --- Agricultural production --- Agriculture, agribusiness & food production industries --- Agriculture: Aggregate Supply and Demand Analysis --- Banking --- Banks and Banking --- Central bank policy rate --- Currency --- Deflation --- Exchange rates --- Financial services --- Food prices --- Foreign Exchange --- Foreign exchange --- Inflation --- Interest rates --- Interest Rates: Determination, Term Structure, and Effects --- Macroeconomics --- Macroeconomics: Production --- Monetary Policy --- Money and Interest Rates: Forecasting and Simulation --- Price Level --- Prices --- Production --- Quantitative Policy Modeling --- Real exchange rates
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Belarusian authorities contemplate transiting to inflation targeting. The paper suggests a small structural model at the core of the forecasting and policy analysis system. A well-researched canonical structure of Berg, A., Karam, P. and D. Laxton (2006) is extended to capture specifics of Belarusian economy and macroeconomic policy. The modified model’s policy block reflects a monetary targeting regime and allows for transition from it to an interest-rate-based framework. Adding wages, directed lending and dollarization allow for studying implications of activist wage policy, state program lending, and dollarization for macroeconomic stability and the strength of the policy transmission mechanism.
Belarus --- Republic of Belarus --- Rėspublika Belarusʹ --- Republic of Byelarusʹ --- Respublika Byelarusʹ --- Byelarus --- République de Bélarus --- República de Belarús --- Republik Belarus --- Weissrussland --- White Russia --- Belorussia --- Belorus --- Biélorussie --- Bielorussia --- Białoruś --- Беларусь --- Рэспубліка Беларусь --- Республика Беларусь --- ベラルーシ --- Berarūshi --- Byelorussian S.S.R. --- Economic conditions --- Foreign Exchange --- Inflation --- Money and Monetary Policy --- Production and Operations Management --- Money and Interest Rates: Forecasting and Simulation --- Monetary Policy --- Quantitative Policy Modeling --- Price Level --- Deflation --- Macroeconomics: Production --- Demand for Money --- Macroeconomics --- Monetary economics --- Currency --- Foreign exchange --- Exchange rates --- Inflation targeting --- Output gap --- Demand for money --- Prices --- Monetary policy --- Production --- Money --- Economic theory --- Belarus, Republic of
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We extend a modern practical Quarterly Projection Model to study credit cycle dynamics and risks, focusing on macrofinancial linkages and the role of macroprudential policy in achieving economic and financial stability. We tailor the model to the Philippines and evaluate the model’s properties along several dimensions. The model produces plausible dynamics and sensible forecasts. This along with its simplicity makes it useful for policy analysis. In particular, it should help policymakers understand the quantitative implications of responding to changes in domestic financial conditions, along with other shocks, through the joint use of macroprudential and monetary policies.
Macroeconomics --- Economics: General --- Money and Monetary Policy --- Banks and Banking --- Money and Interest Rates: Forecasting and Simulation --- Monetary Policy --- Quantitative Policy Modeling --- Monetary Policy, Central Banking, and the Supply of Money and Credit: General --- Financial Markets and the Macroeconomy --- Business Fluctuations --- Cycles --- Interest Rates: Determination, Term Structure, and Effects --- Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data) --- Economic & financial crises & disasters --- Economics of specific sectors --- Monetary economics --- Banking --- Economic growth --- Credit --- Money --- Macroprudential policy --- Financial sector policy and analysis --- Central bank policy rate --- Financial services --- Credit gaps --- Business cycles --- Currency crises --- Informal sector --- Economics --- Economic policy --- Interest rates --- Financial services industry --- Philippines
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Structural Quarterly Projection Model for Belarus.
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We extend a modern practical Quarterly Projection Model to study credit cycle dynamics and risks, focusing on macrofinancial linkages and the role of macroprudential policy in achieving economic and financial stability. We tailor the model to the Philippines and evaluate the model’s properties along several dimensions. The model produces plausible dynamics and sensible forecasts. This along with its simplicity makes it useful for policy analysis. In particular, it should help policymakers understand the quantitative implications of responding to changes in domestic financial conditions, along with other shocks, through the joint use of macroprudential and monetary policies.
Philippines --- Macroeconomics --- Economics: General --- Money and Monetary Policy --- Banks and Banking --- Money and Interest Rates: Forecasting and Simulation --- Monetary Policy --- Quantitative Policy Modeling --- Monetary Policy, Central Banking, and the Supply of Money and Credit: General --- Financial Markets and the Macroeconomy --- Business Fluctuations --- Cycles --- Interest Rates: Determination, Term Structure, and Effects --- Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data) --- Economic & financial crises & disasters --- Economics of specific sectors --- Monetary economics --- Banking --- Economic growth --- Credit --- Money --- Macroprudential policy --- Financial sector policy and analysis --- Central bank policy rate --- Financial services --- Credit gaps --- Business cycles --- Currency crises --- Informal sector --- Economics --- Economic policy --- Interest rates --- Financial services industry
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This paper takes stock of forecasting and policy analysis system capacity development (FPAS CD), drawing extensively on the experience and lessons learned from developing FPAS capacity in the central banks. By sharing the insights gained during FPAS CD delivery and outlining the typical tools developed in the process, the paper aims to facilitate the understanding of FPAS CD within the IMF and to inform future CD on building macroeconomic frameworks. As such, the paper offers a qualitative assessment of the experience with FPAS CD delivery and the use of FPAS in the decision-making process in central banks.
Latvia --- Economic policy --- Economic conditions --- Banking --- Banks and Banking --- Banks and banking, Central --- Capital market --- Central bank policy rate --- Central Banks and Their Policies --- Central banks --- Currency --- Deflation --- Development economics & emerging economies --- Economic forecasting --- Economic theory --- Exchange rates --- Finance --- Finance: General --- Financial Forecasting and Simulation --- Financial services --- Forecasting --- Foreign Exchange --- Foreign exchange --- General Financial Markets: General (includes Measurement and Data) --- Inflation --- Interest rates --- Interest Rates: Determination, Term Structure, and Effects --- International institutions --- Macroeconomics --- Macroeconomics: Production --- Market interest rates --- Money and Monetary Policy --- Output gap --- Political economy --- Price Level --- Prices --- Production and Operations Management --- Production --- Canada
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