This paper presents a semi-structural macroeconomic model aimed at facilitating policy analysis and forecasting, primarily in countries with imperfect capital mobility and hybrid monetary policy regimes. Compared to earlier gap-trend projection models, the Forecasting Model of Internal and External Balance (FINEX) contains three main innovations: it accentuates external and internal balances; explicitly incorporates fiscal policy; and partly endogenizes the main trends. FINEX thus covers a broad set of policy instruments, including foreign exchange interventions (FXI), capital flow management measures (CFM), as well as common fiscal policy instruments. The model incorporates insights from the recent DSGE literature, while maintaining a more accessible gap-trend structure that lends itself to practical policy applications. While the paper refrains from drawing broad policy lessons, it emphasizes the model's ability to interpret recent data in terms of structural shocks and policy responses, thereby aiding policymakers in constructing coherent economic narratives and considering alternative scenarios.

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 technical assistance (TA) report presents the outcomes of the multi-year Bank of Ghana (BOG) Forecasting and Policy Analysis System (FPAS) TA project, conducted between late-2019 and mid-2024 over a total of seven missions, three in-person and four virtual. The project has focused on upgrading and building new institutional capacity for model-based policy analysis and macroeconomic forecasting, along its integration into monetary policy processes and external communications. BOG staff has made remarkable progress and built a strong skillset in providing analytical support to the policymakers. Model-based work plays an important role in the BOG internal deliberations and represents the key input in forward-looking monetary policy formulation, including in regular external communications. Remaining recommendations relate to ensuring FPAS work sustainability and further streamline external communications.

The paper describes a semistructural macrofiscal approach to simulating and forecasting macroeconomic policies. The model focuses on only a few variables that are consistent with the New Keynesian framework. Thanks to its simplicity, it facilitates an initial and intuitive understanding of monetary and fiscal policy transmission channels, and their main impact on economic activity. The model is adapted to Morocco and we demonstrate its application with an illustrative scenario of policy responses to a slower-than-expected recovery from the Covid-19 pandemic, under different monetary policy and exchange rate regimes.

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.

This paper provides new evidence of the macroeconomic effects of public investment in advanced economies. Using public investment forecast errors to identify the causal effect of government investment in a sample of 17 OECD economies since 1985 and model simulations, the paper finds that increased public investment raises output, both in the short term and in the long term, crowds in private investment, and reduces unemployment. Several factors shape the macroeconomic effects of public investment. When there is economic slack and monetary accommodation, demand effects are stronger, and the public-debt-to-GDP ratio may actually decline. Public investment is also more effective in boosting output in countries with higher public investment efficiency and when it is financed by issuing debt.

This study documents a semi-structural model developed for Sri Lanka. This model, extended with a fiscal sector block, is expected to serve as a core forecasting model in the process of the Central Bank of Sri Lanka’s move towards flexible inflation targeting. The model includes a forward-looking endogenous interest rate and foreign exchange rate policy rules allowing for flexible change in policy behavior. It is a gap model that allows for simultaneous identification of business cycle position and long-term equilibrium. The model was first calibrated and then its data-fit was improved using Bayesian estimation technique with relatively tight priors.

Clearly structured throughout, the introduction highlights the different types of crime where these techniques are regularly used. This chapter includes a discussion as to who performs forensic wildlife examinations, the standardisation and validation of methods, and the role of the expert witness in this type of alleged crime. This is followed by a detailed section on the science behind DNA typing including the problems in isolating DNA from trace material and subsequent genetic analysis are also covered. The book then undertakes a comprehensive review of species testing using DNA, including a step-by-step guide to sequence comparisons. A comparison of the different markers used in species testing highlights the criteria for a genetic marker. A full set of case histories illustrates the use of the different markers used. The book details the use of genetic markers to link two or more hairs/feather/leaves/needles to the same individual organism and the software used in population assignment. The problems and possibilities in isolating markers, along with the construction of allele databases are discussed in this chapter. The book concludes with evaluation and reporting of genetic evidence in wildlife forensic science illustrated by examples of witness statements.

Using a database of up to 62 variables for 196 countries over 57 years, a hyperinflation cycle has been characterized to propose a broader setting of stylized facts. Beyond the usual facts, the findings in this paper contribute to the literature of modern hyperinflations in that these cycles occur in contexts where there are (i) depressed economic freedoms, (ii) deteriorated socioeconomic conditions and rule of law, as well as (iii) high levels of domestic conflictivity and government instability. Despite social infraestructure factors improve during stabilization, they keep being substantially lower than the respresentative non-hyperinflation country, suggesting an important role for them in the occurrence of modern hypeinflations. Finally, the role of international financial assistance in stabilization was studied, noting that (i) a clear majority of hyperinflation countries used it, further improving their (ii) economic freedoms, and allowing themselves (iii) greater fiscal flexibility and (iv) more exchange rate stability.