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  • 1
    Language: English
    Pages: 1 Online-Ressource (28 pages)
    Parallel Title: Erscheint auch als Lain, Jonathan Comparing Internally Displaced Persons with those Left Behind: Evidence from the Central African Republic
    Keywords: Armed Conflict ; Central African Republic ; Communities and Human Settlements ; Conflict ; Conflict and Development ; Displacement ; Human Migrations and Resettlements ; Poverty ; Poverty Diagnostics ; Poverty Reduction
    Abstract: Global poverty is increasingly becoming concentrated in conflict-affected settings. Therefore, assessing the welfare of those people displaced by conflict is of growing policy importance. Collecting and analyzing data on displaced people is challenging because sampling them is difficult, standard welfare metrics may not reflect their experiences, and they are highly heterogeneous. Assessing the welfare effects of displacement also hinges on constructing counterfactuals that show how internally displaced persons would have fared had they stayed in place. Displaced people typically come from a nonrandom subset of communities affected by conflict or other shocks, so comparing them with the rest of the population may be misleading. This paper addresses this issue using data from the Central African Republic, which recorded detailed information on displacement histories to isolate the communities from which those living in internally displaced person camps originated. Using these "catchment areas" for internally displaced person camps as a counterfactual suggests that although displaced households have lower monetary consumption and higher monetary poverty than the overall population, they may be no worse off on many key metrics than those left behind in the communities originally affected by conflict. Moreover, those left behind enjoy none of the benefits of being in camps, such as additional access to water and sanitation services. These results underline the importance of tailoring policies and data collection to consider those in communities originally affected by conflict, just as practitioners are doing for displaced populations
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  • 2
    Language: English
    Pages: 1 Online-Ressource (122 pages)
    Series Statement: Europe and Central Asia Economic Update
    Parallel Title: Erscheint auch als
    Keywords: Cost-Of-Living ; Economic Forecasts ; Growth ; Inflation ; Policy Recommendations ; Poverty ; Uncertainty ; Vulnerability
    Abstract: Economic growth slowed sharply last year in Europe and Central Asia, as Russia's invasion of Ukraine, a surge in inflation, and the sharp tightening of monetary policy and financing conditions hit private consumption, investment, and trade. The marked increase in food and energy prices boosted inflation to a pace not seen in 20 years. The burden of inflation was spread unevenly across households. The poorest households faced inflation that was more than 2 percentage points higher than the inflation faced by the richest households, with this difference exceeding 5 percentage points in some countries. Poverty and inequality rates derived from household-specific inflation rates differ from those based on the standard consumer price index (CPI) approach. These differences have important policy implications, because many programs use CPI-based inflation adjustments, which do not accurately capture changes in the cost of living of targeted populations. Output growth in the region is projected to remain little changed in 2023 but better than projected in January 2023, largely reflecting upgrades to the pace of expansion in Poland, Russia, and Turkiye
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  • 3
    Language: English
    Pages: 1 Online-Ressource (39 pages)
    Parallel Title: Erscheint auch als Lain, Jonathan Seasonal Deprivation in the Sahel is Large, Widespread, and can be Anticipated
    Keywords: Agriculture ; Economic Insecurity ; Food and Nutrition Policy ; Food Insecurity ; Food Security ; Health, Nutrition and Population ; Livestock and Animal Husbandry ; Macroeconomics and Economic Growth ; Poverty ; Rainfed Agriculture ; Seasonal Poverty VARIATION ; Seasonality ; Welfare
    Abstract: Shocks and seasonality may have profound effects on poor households' wellbeing, especially in contexts like the Sahel where livelihoods depend on rainfed agriculture and pastoralism. Understanding how seasonal variation affects Sahelian households is therefore essential for guiding policies that jointly seek to address chronic poverty, seasonality, and unexpected shocks. This paper uses harmonized household survey data from Burkina Faso, Chad, Mali, Niger, and Senegal, collected in two distinct waves in 2018 and 2019, to examine the extent of seasonal deprivation in the Sahel. These data reveal significant seasonal variation in poverty and wellbeing. Mean real monetary consumption is around 10.5 percent lower in the lean season. Moreover, rather than representing a reduction in dietary diversity, this drop is concentrated in staple foods (especially cereals), implying that seasonality brings about extreme forms of deprivation. Welfare losses may begin early in the lean season, even as early as April. When the data were collected in 2018/19, the climatic conditions were relatively benign and the security situation was more stable than today, so the effects of seasonality shown in this paper likely represent a lower bound. On policy, although initiatives currently focus on responding to unpredictable shocks, seasonal food insecurity could be better tackled by expanding social protection and providing regular transfers early in the lean season, when prices are lower and fewer households have succumbed to extreme deprivation. Seasonal variation happens every year and more can be done to support Sahelian households if there is information on how it will perennially threaten their wellbeing
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  • 4
    Language: English
    Pages: 1 Online-Ressource
    Series Statement: Other papers
    Keywords: Development Patterns and Poverty ; Equity and Development ; Inequality ; Poverty ; Poverty Reduction
    Abstract: The April 2022 update to the newly launched Poverty and Inequality Platform (PIP) involves several changes to the data underlying the global poverty estimates. Some welfare aggregates have been changed for improved harmonization, and the CPI, national accounts, and population input data have been updated. This document explains these changes in detail and the reasoning behind them. Moreover, a large number of new country-years have been added, bringing the total number of surveys to more than 2,000. These include new harmonized surveys for countries in West Africa, new imputed poverty estimates for Nigeria, and recent 2020 household survey data for several countries. Global poverty estimates are now reported up to 2018 and earlier years have been revised
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