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We compare business cycle fluctuations in Sub-Saharan African (SSA) countries vis-à-vis the rest of the world. Our main results are as follows: (i) African economies stand out by their macroeconomic volatility, which is is reflected in the volatility of output and other macro variables; (ii) inflation and output tend to be negatively correlated; (iii) unlike advanced economies and emerging markets (EMs), trade balances and current accounts are acyclical in SSA; (iv) the volatility of consumption and investment relative to GDP is larger than in other countries; (v) the cyclicality of consumption and investment is smaller than in advanced economies and EMs; (vi) there is little comovement between consumption and investment; (vii) consumption and investment are strongly positively correlated with imports.
Low-income countries in sub-Saharan Africa present unique monetary policy challenges, from the high share of volatile food in consumption to underdeveloped financial markets; however most academic and policy work on monetary policy is aimed at much richer countries. Can economic models and methods invented for rich countries even be adapted and applied here? How does and should monetary policy work in sub-Saharan African? Monetary Policy in Sub-Saharan Africa answers these questions and provides practical tools and policy guidance to respond to the complex challenges of this region. Most countries in sub-Saharan Africa have made great progress in stabilizing inflation over the past two decad...
We compare business cycle fluctuations in Sub-Saharan African (SSA) countries vis-à-vis the rest of the world. Our main results are as follows: (i) African economies stand out by their macroeconomic volatility, which is is reflected in the volatility of output and other macro variables; (ii) inflation and output tend to be negatively correlated; (iii) unlike advanced economies and emerging markets (EMs), trade balances and current accounts are acyclical in SSA; (iv) the volatility of consumption and investment relative to GDP is larger than in other countries; (v) the cyclicality of consumption and investment is smaller than in advanced economies and EMs; (vi) there is little comovement between consumption and investment; (vii) consumption and investment are strongly positively correlated with imports.
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.
VAR methods suggest that the monetary transmission mechanism may be weak and unreliable in low-income countries (LICs). But are structural VARs identified via short-run restrictions capable of detecting a transmission mechanism when one exists, under research conditions typical of these countries? Using small DSGEs as data-generating processes, we assess the impact on VAR-based inference of short data samples, measurement error, high-frequency supply shocks, and other features of the LIC environment. The impact of these features on finite-sample bias appears to be relatively modest when identification is valid—a strong caveat, especially in LICs. However, many of these features undermine the precision of estimated impulse responses to monetary policy shocks, and cumulatively they suggest that “insignificant” results can be expected even when the underlying transmission mechanism is strong.
Despite strong economic growth since 2000, many low-income countries (LICs) still face numerous macroeconomic challenges, even prior to the COVID-19 pandemic. Despite the deceleration in real GDP growth during the 2008 global financial crisis, LICs on average saw 4.5 percent of real GDP growth during 2000 to 2014, making progress in economic convergence toward higher-income countries. However, the commodity price collapse in 2014–15 hit many commodity-exporting LICs and highlighted their vulnerabilities due to the limited extent of economic diversification. Furthermore, LICs are currently facing a crisis like no other—COVID-19, which requires careful policymaking to save lives and livelihoods in LICs, informed by policy debate and thoughtful research tailored to the COVID-19 situation. There are also other challenges beyond COVID-19, such as climate change, high levels of public debt burdens, and persistent structural issues.
Low-income countries in sub-Saharan Africa present unique monetary policy challenges, from the high share of volatile food in consumption to underdeveloped financial markets. This book draws on the International Monetary Fund's research and practice to uncover how monetary policy in this region currently operates, and what changes should be made.
Do changes in monetary policy affect inflation and output in the East African Community (EAC)? We find that (i) Monetary Transmission Mechanism (MTM) tends to be generally weak when using standard statistical inferences, but somewhat strong when using non-standard inference methods; (ii) when MTM is present, the precise transmission channels and their importance differ across countries; and (iii) reserve money and the policy rate, two frequently used instruments of monetary policy, sometimes move in directions that exert offsetting expansionary and contractionary effects on inflation—posing challenges to harmonization of monetary policies across the EAC and transition to a future East African Monetary Union. The paper offers some suggestions for strengthening the MTM in the EAC.
Many central banks in low-income countries in Sub-Saharan Africa are modernising their monetary policy frameworks. Standard statistical procedures have had limited success in identifying the channels of monetary transmission in such countries. Here we take a narrative approach, following Romer and Romer (1989), and center on a significant tightening of monetary policy that took place in 2011 in four members of the East African Community: Kenya, Uganda, Tanzania and Rwanda. We find clear evidence of the transmission mechanism in most of the countries, and argue that deviations can be explained by differences in the policy regime in place.
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.