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In Rwanda, as in other countries, different types of households will experience the economic effects of the COVID-19 pandemic differently. We use a microsimulation approach to highlight the importance of these differences and to draw attention to the diversified livelihood strategies of Rwandan households in order to fully understand COVID-19’s impacts on their income and poverty status. Our approach complements macro-level assessments of COVID-19’s economic impacts, focusing on the contribution of the income sources, asset holdings, and location (urban/rural) of households to understanding these differential effects.
Rwanda’s policy response to COVID-19 has been widely praised for its rapid, systematic, and comprehensive approach to containing the pandemic. Although the economic consequences are unavoidable, the country expects to return its economy to its high-growth trajectory as the pandemic subsides. We use economic modeling tools designed to estimate the short-term economywide impacts of the unanticipated, rapid-onset economic shocks of COVID-19 on Rwanda. - Results show that during the six-week lockdown that began in March, Rwanda’s GDP fell 39.1 percent (RWF 435 billion; USD 484 million) when compared to a no-COVID situation in the same period. - Results further show that Rwanda’s GDP in 2020 will be between 12 and 16 percent lower than a predicted no-COVID GDP, depending on the pace of the recovery. The losses in annual GDP are between RWF 1.0 and 1.5 trillion (USD 1.1–1.6 billion). - While GDP for the industrial and services sectors were estimated to have fallen during the lockdown period by 57 and 48 percent, respectively, exemptions of COVID-19 restrictions for the agricultural sector limited the decline in agricultural GDP to 7 percent compared to a noCOVID situation. - During the lockdown period, the national poverty rate is estimated to have increased by 10.9 percentage points as 1.3 million people, mostly in rural areas, fell into temporary poverty. Poverty rates are expected to stabilize by the end of 2020, increasing only by between 0.4 and 1.1 percentage points. While these figures may be encouraging, they mask the impacts on poor households of the sharp poverty spike during the lockdown and the inherent complexity of poverty dynamics post-lockdown. Looking forward, the speed and success of Rwanda’s recovery will depend critically on the expansion of Rwanda’s social protection programs, boosting enterprises of all sizes, support to the agri-food system, and restoration of international trade.
The COVID-19 pandemic has had far-reaching impacts in every part of the world, including on vulnerable populations in rural areas of low- and middle-income countries. This report explores the ways in which men and women in rural areas of four countries in sub-Saharan Africa (SSA)—Kenya, Niger, Rwanda, and Uganda—experienced the COVID-19 pandemic and associated income losses, as well as their responses to the crisis. To identify and monitor the differential effects of the COVID-19 pandemic on women and men in rural households, IFPRI conducted phone surveys in selected regions of the four focal countries, with financial and technical support from the Food and Agriculture Organization of the United Nations (FAO). The surveys traced gender differences in responses to the pandemic and associated restrictions, such as choice of coping strategies, access to public assistance, and changes in the care burden for men and women.
This paper discusses the definition and modelling of a universal basic income (UBI). After clarifying the debate about what a UBI is and presenting the arguments in favor and against, an analytical approach for its assessment is proposed. The adoption of a UBI as a policy tool is discussed with regard to the policy objectives (shaped by social preferences) it is designed to achieve. Key design dimensions to be considered include: coverage, generosity of the program, overall progressivity of the policy, and its financing.
This ILO flagship report examines the evolution of real wages around the world, giving a unique picture of wage trends globally and by region. The 2020-21 edition analyses the relationship of minimum wages and inequality, as well as the wage impacts of the COVID-19 crisis. The 2020-21 edition also reviews minimum wage systems across the world and identifies the conditions under which minimum wages can reduce inequality. The report presents comprehensive data on levels of minimum wages, their effectiveness, and the number and characteristics of workers paid at or below the minimum. The report highlights how adequate minimum wages, statutory or negotiated, can play a key role in a human-centred recovery from the crisis
We document the short-term impact of the COVID-19 pandemic on the Brazilian labor market focusing on employment, wages and hours worked using the nationally representative household surveys PNAD-Continua and PNAD COVID. Sectors most susceptible to the shock because they are more contact-intensive and less teleworkable, such as construction, domestic services and hospitality, suffered large job losses and reductions in hours. Given low income workers experienced the largest decline in earnings, extreme poverty and the Gini coefficient based on labor income increased by around 9.2 and 5 percentage points, respectively, due to the immediate shock. The government’s broad based, temporary Emergency Aid transfer program more than offset the labor income losses for the bottom four deciles, however, such that poverty relative to the pre-COVID baseline fell. At a cost of around 4 percent of GDP in 2020 such support is not fiscally sustainable beyond the short-term and ended in late 2020. The challenge will be to avoid a sharp increase in poverty and inequality if the labor market does not pick up sufficiently fast in 2021.
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
There is a growing debate on the relative merits of universal and targeted social assistance transfers in achieving income redistribution objectives. While the benefits of targeting are clear, i.e., a larger poverty impact for a given transfer budget or lower fiscal cost for a given poverty impact, in practice targeting also comes with various costs, including incentive, administrative, social and political costs. The appropriate balance between targeted and universal transfers will therefore depend on how countries decide to trade-off these costs and benefits as well as on the potential for redistribution through taxes. This paper discusses the trade-offs that arise in different country contexts and the potential for strengthening fiscal redistribution in advanced and developing countries, including through expanding transfer coverage and progressive tax financing.