Many low-income countries continue to describe their monetary policy framework in terms of targets on monetary aggregates. This contrasts with most modern discussions of monetary policy, and with most practice. We extend the new-Keynesian model to provide a role for “M” in the conduct of monetary policy, and examine the conditions under which some adherence to money targets is optimal. In the spirit of Poole (1970), this role is based on the incompleteness of information available to the central bank, a pervasive issues in these countries. Ex-ante announcements/forecasts for money growth are consistent with a Taylor rule for the relevant short-term interest rate. Ex-post, the policy maker must choose his relative adherence to interest rate and money growth targets. Drawing on the method in Svensson and Woodford (2004), we show that the optimal adherence to ex-ante targets is equivalent to a signal extraction problem where the central bank uses the money market information to update its estimate of the state of the economy. We estimate the model, using Bayesian methods, for Tanzania, Uganda (both de jure money targeters), and Ghana (a de jure inflation targeter), and compare the de facto adherence to targets with the optimal use of money market information in each country.

We extend the framework in Andrle and others (2013) to incorporate an explicit role for money targets and target misses in the analysis of monetary policy in low-income countries (LICs), with an application to Kenya. We provide a general specification that can nest various types of money targeting (ranging from targets based on optimal money demand forecasts to those derived from simple money growth rules), interest-rate based frameworks, and intermediate cases. Our framework acknowledges that ex-post adherence to targets is in itself an objective of policy in LICs; here we provide a novel interpretation of target misses in terms of structural shocks (aggregate demand, policy, shocks to money demand, etc). In the case of Kenya, we find that: (i) the setting of money targets is consistent with money demand forecasting, (ii) targets have not played a systematic role in monetary policy, and (iii) target misses mainly reflect shocks to money demand. Simulations of the model under alternative policy specifications show that the stronger the ex-post target adherence, the greater the macroeconomic volatility. Our findings highlight the benefits of a model-based approach to monetary policy analysis in LICs, including in countries with money-targeting frameworks.

A popular myth about the travails of Africa holds that the continent's long history of poor economic performance reflects the inability of its leaders and policymakers to fulfill the long list of preconditions to be met before sustained growth can be achieved. These conditions are said to vary from the necessary quantity and quality of physical and human capital to the appropriate institutions and business environments. While intellectually charming and often elegantly formulated, that conventional wisdom is actually contradicted by historical evidence and common sense. It also suggests a form of intellectual mimicry that posits a unique path to prosperity for all countries regardless of their level of development and economic structure. In fact, the argument underlining that reasoning is tautological, and the policy prescriptions derived from it are fatally teleological: low-income countries are by definition those where such ingredients are missing. None of today's high-income countries started its growth process with the "required" and complete list of growth ingredients. Unless one truly believes that the continent of Africa-and most developing countries-are ruled predominantly if not exclusively by plutocrats with a high propensity for sadomasochism, the conventional view must be re-examined, debated, and questioned. This volume-the second of the ^lOxford Handbook of Africa and Economics-reassesses the economic policies and practices observed across the continent since independence. It offers a collection of analyses by some of the leading economists and development thinkers of our time, and reflects a wide range of perspectives and viewpoints. Africa's emergence as a potential economic powerhouse in the years and decades ahead amply justifies the scope and ambition of the book.

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.

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.

The book gives a broad coverage of the monetary policy issues in Low Financial Development Countries (LFDCs). These low and lower middle income countries are characterized by a predominance of bank finance, shallow financial markets, low financial inclusion, weak integration with world capital markets and a high degree of informality in economic activity. Monetary policy acquires special twists, making it different in many aspects from the policies followed in advanced and emerging market economies. The book covers the main facets of monetary policy making, using an approach that combines the discussion of theoretical arguments, of results from empirical studies and of policy experiences relevant for LFDCs. The book presents the monetary policy instruments they use and assesses the specificities of their monetary transmission mechanism. It evaluates the advantages, drawbacks and challenges of the different nominal anchors they may choose from: exchange rate targeting, monetary targeting and inflation targeting. This discussion is set against the background of the three main goals pursued by central banks: price, output and financial stability. Particular attention is devoted to the issue of the credibility of central banks and to the trade-offs they face when external shocks, to which these countries are very vulnerable, lead to conflicts among the three goals they pursue. The book also covers more specific topics, such as the challenges raised by fiscal dominance and by dollarization, the implications of informal labor markets and of microfinance institutions for monetary policy-making and the role of models for forecasting and policy evaluation.

The paper introduces a semi-structural Quarterly Projection Model (QPM) tailored for the Democratic Republic of the Congo (DRC), highlighting its resource richness and high degree of dollarization. We provide an overview of the model's specifications to elucidate key features of the DRC economy and present its properties, evaluating its alignment with DRC data and assessing its goodness of fit. Additionally, the paper demonstrates the QPM's practical application through a counterfactual scenario, comparing policy recommendations with the actual policy responses of the Central Bank of the Republic of Congo to observed exchange rate and inflation pressures in 2023. Beyond the QPM, the paper showcases supplementary tools that enhance its utility for generating medium-term forecasts and developiong narratives in support of monetary policymaking. Specifically, we introduce the Nowcasting and Near-Term Forecast models, designed to assess the economy in real-time and predict short-term inflationary trends.

This book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important – and at the same a very difficult discipline. It is not easy to predict how an economy will evolve or to identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of uncertainty: different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account. In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques. This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications.

The natural interest rate is of great relevance to central banks, but it is difficult to measure. We show that in a standard microfounded monetary model, the natural interest rate co-moves with a transformation of the money demand that can be computed from actual data. The co-movement is of a considerable magnitude and independent of monetary policy. An optimizing central bank that does not observe the natural interest rate can take advantage of this co-movement by incorporating the transformed money demand, in addition to the observed output gap and inflation, into a simple but optimal interest rate rule. Combining the transformed money demand and the observed output gap provides the best information about the natural interest rate.

Over the past two decades, many low- and lower-middle income countries (LLMICs) have improved control over fiscal policy, liberalized and deepened financial markets, and stabilized inflation at moderate levels. Monetary policy frameworks that have helped achieve these ends are being challenged by continued financial development and increased exposure to global capital markets. Many policymakers aspire to move beyond the basics of stability to implement monetary policy frameworks that better anchor inflation and promote macroeconomic stability and growth. Many of these LLMICs are thus considering and implementing improvements to their monetary policy frameworks. The recent successes of some LLMICs and the experiences of emerging and advanced economies, both early in their policy modernization process and following the global financial crisis, are valuable in identifying desirable features of such frameworks. This paper draws on those lessons to provide guidance on key elements of effective monetary policy frameworks for LLMICs.