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  • 1
    UID:
    almafu_9960786869902883
    Format: 1 online resource (43 pages).
    Series Statement: Policy research working papers
    Content: Issues of data availability and incomparability in the measurement of household consumption arise frequently when measuring poverty trends over time. Yet, understanding these trends is key to guide national and international policy makers in their poverty reduction efforts. This paper aims to estimate a long-run poverty trend for Nigeria, a country whose poverty trends are crucial for regional and global estimates. In 2020, the Nigerian National Bureau of Statistics released the first official poverty estimates for Nigeria in almost a decade, calculated using the 2018/19 Nigerian Living Standards Survey. Yet the official poverty estimates from the 2018/19 Nigerian Living Standards Survey cannot technically be compared with those from the 2009/10 Harmonized Nigerian Living Standards Survey-the previous official household consumption survey-given key differences in the way household consumption was measured and concerns around data quality in the 2009/10 survey. To address this challenge, this paper uses two distinct methodologies to construct a poverty trend for Nigeria in the decade before the COVID-19 crisis. First, it uses sector-level gross domestic product growth rates combined with micro-data from the 2018/19 Nigerian Living Standards Survey to "backcast" poverty rates back to 2009. Second, it uses survey-to-survey imputation methods and data collected throughout the decade through the General Household Survey panel. Despite their very different foundations, these two approaches produce very similar results, suggesting that there was a small reduction in poverty at the beginning of the decade, followed by a period of stagnation or even a slight uptick in poverty following the 2016 economic recession. The paper estimates a poverty rate of between 42.2 and 46.3 percent in 2009, translating into a reduction in the poverty headcount rate of between 3 and 7 percentage points between 2009 and 2018/19.
    Language: English
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almafu_9960869100302883
    Format: 1 online resource (42 pages)
    Content: Measurement of food access typically relies on a consensus of different indicators. However, there is a growing list of surveys in which the Food Insecurity Experience Scale is one of the few food access indicators captured, likely because it is an official measure for tracking progress toward the Sustainable Development Goal of zero hunger. This paper uses a nationally representative, multipurpose household survey conducted in Nigeria to investigate the validity of the Food Insecurity Experience Scale. It compares the Food Insecurity Experience Scale to monetary poverty and a widely used food access metric that has been more extensively validated, the Food Consumption Score. Although it is possible for food access metrics to be poorly aligned and capture different dimensions of poor food access, empirically supported assumptions in standard consumption models result in many dimensions of poor food access being concentrated among the poorest segments of the population. However, the paper demonstrates that the Food Insecurity Experience Scale does not appear to correctly identify the population with poor food access-it finds little difference in the share with poor food access among poor and nonpoor Nigerians. Moreover, even the very richest and very poorest households have a similar prevalence of poor food access, according to the Food Insecurity Experience Scale. These patterns are in stark contrast to the Food Consumption Score, which suggests that food access is significantly lower for poorer Nigerians. Combined, the results demonstrate the importance of measuring food access with more than one indicator, and they call into question the notion of using the Food Insecurity Experience Scale alone, despite the measure being a key Sustainable Development Goal food security indicator.
    Language: English
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    b3kat_BV049080938
    Format: 1 Online-Ressource
    Series Statement: Other Poverty Study
    Content: The COVID-19 (coronavirus) pandemic and its economic and social effects on households have created an urgent need for timely data to help monitor and mitigate the social and economic impacts of the crisis and protect the welfare of Nigerian society. To monitor how the COVID-19 pandemic is affecting the economy and people of Nigeria and to inform policy interventions and responses, the National Bureau of Statistics with technical support from the World Bank implemented the Nigeria COVID-19 National Longitudinal Phone Survey (NLPS) from April 2020 to April 2021. This report draws on NLPS and other relevant data to analyze COVID-19 impacts in Nigeria's human capital, livelihoods and welfare. It also looks ahead to the broad challenges of building back better in Nigeria and summarizes priorities for policymaking and implementation
    Language: English
    URL: Volltext  (kostenfrei)
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  • 4
    UID:
    almafu_9961265482502883
    Format: 1 online resource (39 pages)
    Content: 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.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    gbv_1820256952
    Format: 1 Online-Ressource
    Series Statement: Other papers
    Content: 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
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    UID:
    gbv_1885607571
    Format: 1 Online-Ressource (26 Seiten) , Diagramme
    Series Statement: Policy Research Working Paper 10725
    Content: 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
    Note: Literaturverzeichnis, Literaturhinweise, Annex, Tabellen
    Additional Edition: Erscheint auch als Druck-Ausgabe Lain, Jonathan Comparing Internally Displaced Persons with those Left Behind: Evidence from the Central African Republic Washington, D.C. : The World Bank, 2024
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    UID:
    b3kat_BV049079832
    Format: 1 Online-Ressource
    Series Statement: Other papers
    Content: 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
    Language: English
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    UID:
    edoccha_9960869100302883
    Format: 1 online resource (42 pages)
    Content: Measurement of food access typically relies on a consensus of different indicators. However, there is a growing list of surveys in which the Food Insecurity Experience Scale is one of the few food access indicators captured, likely because it is an official measure for tracking progress toward the Sustainable Development Goal of zero hunger. This paper uses a nationally representative, multipurpose household survey conducted in Nigeria to investigate the validity of the Food Insecurity Experience Scale. It compares the Food Insecurity Experience Scale to monetary poverty and a widely used food access metric that has been more extensively validated, the Food Consumption Score. Although it is possible for food access metrics to be poorly aligned and capture different dimensions of poor food access, empirically supported assumptions in standard consumption models result in many dimensions of poor food access being concentrated among the poorest segments of the population. However, the paper demonstrates that the Food Insecurity Experience Scale does not appear to correctly identify the population with poor food access-it finds little difference in the share with poor food access among poor and nonpoor Nigerians. Moreover, even the very richest and very poorest households have a similar prevalence of poor food access, according to the Food Insecurity Experience Scale. These patterns are in stark contrast to the Food Consumption Score, which suggests that food access is significantly lower for poorer Nigerians. Combined, the results demonstrate the importance of measuring food access with more than one indicator, and they call into question the notion of using the Food Insecurity Experience Scale alone, despite the measure being a key Sustainable Development Goal food security indicator.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 9
    UID:
    edoccha_9961265118202883
    Format: 1 online resource (42 pages).
    Series Statement: Policy research working papers
    Content: Measurement of food access typically relies on a consensus of different indicators. However, there is a growing list of surveys in which the Food Insecurity Experience Scale is one of the few food access indicators captured, likely because it is an official measure for tracking progress toward the Sustainable Development Goal of zero hunger. This paper uses a nationally representative, multipurpose household survey conducted in Nigeria to investigate the validity of the Food Insecurity Experience Scale. It compares the Food Insecurity Experience Scale to monetary poverty and a widely used food access metric that has been more extensively validated, the Food Consumption Score. Although it is possible for food access metrics to be poorly aligned and capture different dimensions of poor food access, empirically supported assumptions in standard consumption models result in many dimensions of poor food access being concentrated among the poorest segments of the population. However, the paper demonstrates that the Food Insecurity Experience Scale does not appear to correctly identify the population with poor food access-it finds little difference in the share with poor food access among poor and nonpoor Nigerians. Moreover, even the very richest and very poorest households have a similar prevalence of poor food access, according to the Food Insecurity Experience Scale. These patterns are in stark contrast to the Food Consumption Score, which suggests that food access is significantly lower for poorer Nigerians. Combined, the results demonstrate the importance of measuring food access with more than one indicator, and they call into question the notion of using the Food Insecurity Experience Scale alone, despite the measure being a key Sustainable Development Goal food security indicator.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    UID:
    edoccha_9960786869902883
    Format: 1 online resource (43 pages).
    Series Statement: Policy research working papers
    Content: Issues of data availability and incomparability in the measurement of household consumption arise frequently when measuring poverty trends over time. Yet, understanding these trends is key to guide national and international policy makers in their poverty reduction efforts. This paper aims to estimate a long-run poverty trend for Nigeria, a country whose poverty trends are crucial for regional and global estimates. In 2020, the Nigerian National Bureau of Statistics released the first official poverty estimates for Nigeria in almost a decade, calculated using the 2018/19 Nigerian Living Standards Survey. Yet the official poverty estimates from the 2018/19 Nigerian Living Standards Survey cannot technically be compared with those from the 2009/10 Harmonized Nigerian Living Standards Survey-the previous official household consumption survey-given key differences in the way household consumption was measured and concerns around data quality in the 2009/10 survey. To address this challenge, this paper uses two distinct methodologies to construct a poverty trend for Nigeria in the decade before the COVID-19 crisis. First, it uses sector-level gross domestic product growth rates combined with micro-data from the 2018/19 Nigerian Living Standards Survey to "backcast" poverty rates back to 2009. Second, it uses survey-to-survey imputation methods and data collected throughout the decade through the General Household Survey panel. Despite their very different foundations, these two approaches produce very similar results, suggesting that there was a small reduction in poverty at the beginning of the decade, followed by a period of stagnation or even a slight uptick in poverty following the 2016 economic recession. The paper estimates a poverty rate of between 42.2 and 46.3 percent in 2009, translating into a reduction in the poverty headcount rate of between 3 and 7 percentage points between 2009 and 2018/19.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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