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Morocco: A Practical Approach to Monetary Policy Analysis in a Country with Capital Controls
The Central Bank of Morocco has been working on developing a Forecasting and Policy Analysis System (FPAS) to support a gradual move toward a more flexible exchange rate regime and the eventual adoption of a full-fledged inflation-targeting (IT) regime. At the center of the FPAS is a quarterly projection model that was tailored for two different types of exchange rate regimes. Presently, the fixed exchange rate model version is to be used during the pre-IT period, while the flexible exchange rate model version is to be used to prepare alternative scenarios for monetary policy decision makers to discuss the potential policy implications of shocks under an IT regime.
Inflation-Forecast Targeting for India
India formally adopted flexible inflation targeting (FIT) in June 2016 to place price stability, defined in terms of a target CPI inflation, as the primary objective of monetary policy. In this context, the paper draws on Indian macroeconomic developments since 2000 and the experience of other countries that adopted FIT to bring out insights on how credible policy with an emphasis on a strong nominal anchor can reduce the impact of supply shocks and improve macroeconomic stability. For illustrating the key issues given the unique structural characteristics of India and the policy options under an FIT framework, the paper describes an analytical framework using the core quarterly projection model (QPM). Simulations of the QPM are carried out to illustrate the monetary policy responses under different types of uncertainty and to bring out the importance of gaining credibility for improving monetary policy efficacy.
Inflation-Forecast Targeting
Many central banks in emerging and advanced economies have adopted an inflation-forecast targeting (IFT) approach to monetary policy, in order to successfully establish a stable, low-inflation environment. To support policy making, each has developed a structured system of forecasting and policy analysis appropriate to its needs. A common component is a model-based forecast with an endogenous policy interest rate path. The approach is characterized, among other things, by transparent communications—some IFT central banks go so far as to publish their policy interest rate projection. Some elements of this regime, although a work still in progress, are worthy of consideration by central banks that have not yet officially adopted full-fledged inflation targeting.
Advancing the Frontiers of Monetary Policy
Inflation-forecast targeting is state of the art for monetary policy. This book explores first principles, including managing short-term policy trade-offs. The book also outlines efficient operational procedures and reviews the experiences of Canada, the Czech Republic, and India. The analysis highlights the need for assertive policies and maximum transparency.
Strengthening the Monetary Policy Framework in Korea
Adoption of inflation targeting by the Bank of Korea (BOK) in 1998 contributed to low and stable inflation. However, after the global financial crisis (GFC) monetary policy faced more challenging conditions. Inflation slipped below the target range in 2012 and remains below it despite a cut in the target to 2 percent in 2016. Policy also became more complex with the addition of financial stability to the central bank’s mandate. To address these challenges, this paper proposes a two-pronged approach to strengthen the effectiveness with which monetary policy can meet its objectives: first, enhanced communication on how the target will be achieved over the medium-term, building on a forecasting and policy analysis system; and, second, by clarifying the complementary role of macroprudential policy in containing financial stability risks so that monetary policy can focus on the inflation target. Simulation of a macro model calibrated to Korea illustrates how it can be used to provide this greater medium-term focus on achieving the inflation target and strengthen communication.
An Index for Transparency for Inflation-Targeting Central Banks: Application to the Czech National Bank
This paper develops a new central bank transparency index for inflation-targeting central banks (CBT-IT index). It applies the CBT-IT index to the Czech National Bank (CNB), one of the most transparent inflation-targeting central banks. The CNB has invested heavily in developing a Forecasting and Policy Analysis System (FPAS) to implement a full-fledged inflation-forecast-targeting (IFT) regime. The components of CBT-IT index include measures of transparency about monetary policy objectives, the FPAS designed to support IFT, and the monetary policymaking process. For the CNB, all three components have shown substantial improvements over time but a few gaps remain. The CNB is currently working on eliminating some of these gaps.
Frontiers of Monetary Policymaking
The paper first describes how the Czech National Bank (CNB) moved gradually from a fixed exchange rate regime to the frontiers of Inflation-Forecast Targeting. It then focuses on the CNB’s recent experience in adding the exchange rate as a complementary monetary policy tool to stimulate the economy and combat the risks of deflation when the policy interest rate is at the zero lower bound. It assesses the theoretical basis of such a policy, the communications approach used by the CNB when announcing the new framework, and the effects thus far on inflation and output.
Multivariate Filter Estimation of Potential Output for the United States
Estimates of potential output are an important component of a structured forecasting and policy analysis system. Using information on capacity utilization, this paper extends the multivariate filter developed by Laxton and Tetlow (1992) and modified by Benes and others (2010), Blagrave and others (2015), and Alichi and others (2015). We show that, although still fairly uncertain, the real-time estimates from this approach are more accurate than estimates constructed from naïve univariate statistical filters. The paper presents illustrative estimates for the United States and discusses how the end-of-sample estimates can be improved with additional information.
Avoiding Dark Corners
The Fed has taken several steps towards strengthening its monetary framework over the past several years. Those steps have supported the Fed’s efforts to stimulate the economy through forward guidance despite being constrained by having policy rates at zero. We show that an optimal control approach to monetary policy, which includes the publication of a baseline forecast and a description of the uncertainties around that outlook, combined with an improvement in the Fed’s communications toolkit, could further enhance the effectiveness of Fed policy. In the current conjuncture, such a risk management approach to monetary policy would result in both a later liftoff of policy rates and a modest, but planned, overshooting of inflation.
