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This paper uses machine learning, simulation, and data mining methods to develop Systematic Risk Profiles of three developing economies: Kenya, Rwanda, and Malawi. We focus on three exogenous shocks with implications for economic performance: world market prices, capital flows, and climate-driven sectoral productivity. In these and other developing countries, recent decades have been characterized by increased risks associated with all these factors, and there is a demand for instruments that can help to disentangle them. For each country, we utilize historical data to develop multi-variate distributions of shocks. We then sample from these distributions to obtain a series of shock vectors, ...
Climate change is not projected to materially alter Malawi’s climate profile. Instead, it is likely to exacerbate existing climate vulnerabilities by increasing the frequency and intensity of cyclones, floods, and droughts. This is largely due to increased uncertainty around future precipitation levels. These adverse effects have already started to materialize and are expected to increase substantially over the next decades, particularly if efforts to reduce global greenhouse gas emissions by high emitting countries are insufficient. Climate change is also projected to increase average annual temperatures across the country. Climate change is expected to significantly affect Malawi’s eco...
Evidence-based planning for post-conflict reconstruction is often constrained by missing data and the shortcomings of conventional analytical methods. To overcome these constraints, we use economy-wide modeling methods to model the impact of war and reconstruction possibilities for the economy of Yemen. We first calibrate the model to pre-conflict data (2014) and validate it by replicating the most recent available dynamic needs assessments for Yemen that were elaborated by the World Bank. We then report model scenario results for unobserved development indicators, such as estimates for sector-level growth, employment, and poverty. For the post-conflict period, we use the assumptions of a re...
In order to address long-standing economic challenges, in 2016 the Government of Egypt (GOE) put in place a major economic reform program to restore macroeconomic stability and to promote inclusive growth. As a result, there are early signs that the economy is rebounding and Egypt’s economic outlook is becoming more favorable. However, it is less clear how the ongoing reform program is affecting households, especially the poor. To shed light on this question, this paper uses an economy-wide model to estimate the distributional impacts of the energy subsidy cuts in 2014, 2016, and 2017, the currency devaluation at the end of 2016, and the expected complete phasing out of energy subsidies over the coming years.
Regional and global trends in body weight show that the Near East and North Africa (NENA) region countries, especially the Gulf Cooperation Council (GCC) member countries, have the highest average body mass index and highest rates of overweight and obesity in the world. There exist several explanations that expound the high rates of overweight and obesity in most NENA countries, including the nutrition transition, urbanization, changes in lifestyle, and consequent reduction of physical activities. This study examines the implication of food policies, mainly trade and government food subsidies, on evolving nutritional transitions and associated body weight outcomes. We examine the evolution o...
This report analyses PIM’s 391 peer-reviewed 2018 and 20191 publications. We highlight key gender findings and discuss the challenges faced by researchers in doing gender analysis, with a view to documenting lessons learned and improving practices. It is hoped that the gaps and strengths identified in this report will be useful inputs for future research under PIM and One CGIAR.
This study investigates regional development and internal migration dynamics within the context of modern structural transformation in Sub-Saharan Africa. We develop a regionalized Computable General Equilibrium model that incorporates regionalized production, endogenous interregional migration, and distinct migrant households. Using this model, we simulate the structural transformation of Senegal as a case study. Our findings demonstrate that agricultural stagnation, exacerbated by global climate change, underlies the economic underperformance of rural regions and amplifies regional income disparities. Furthermore, our analysis shows that outmigration from stagnating rural provinces to a more developed capital region positively influences overall economic growth and mitigates regional income inequality. Nevertheless, these effects are limited, and a proactive approach to addressing income inequality across the nation's regions would require supporting agriculture, as it represents a more equitable policy than promoting nonagricultural sectors in both rural and capital regions.
This training guide introduces development practitioners, policy analysts, and students to social accounting matrices (SAMs) and their use in policy analysis. There are already a number of books that explain the System of National Accounts and SAM multipliers-some of these are recommended at the end of this training guide. However, most books tend to be quite technical and move quickly from an introduction to more complex applications. By contrast, this guidebook uses a series of hands-on exercises to gradually introduce SAMs and multiplier analysis. It therefore complements more theoretical SAM and multiplier literature and provides a first step for development practitioners and students wishing to understand the strengths and limitations of these economic tools. It is also useful for policy analysts and researchers embarking on more complex SAM-based methodologies. One such methodology is computable general equilibrium (CGE) modeling, for which IFPRI has also developed a series of introductory exercises and a standard modeling framework.To download the exercises, go to www.ifpri.org/publication/social-accounting-matrices-and-multiplier-analysis