Estimating a Poverty Trend for Nigeria between 2009 and 2019:
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 estima...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C
The World Bank
2022
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| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (43 Seiten) |
| DOI: | 10.1596/1813-9450-9974 |
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| 520 | 3 | |a 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 | |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:27:57Z |
| indexdate | 2024-10-12T04:03:00Z |
| institution | BVB |
| language | English |
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| spellingShingle | Lain, Jonathan William Estimating a Poverty Trend for Nigeria between 2009 and 2019 Data Availability Data Incomparability Economic Trends Household Consumption Expenditure ICT Data and Statistics Information and Communication Technologies Poverty Reduction Social Development Social Development and Poverty |
| title | Estimating a Poverty Trend for Nigeria between 2009 and 2019 |
| title_auth | Estimating a Poverty Trend for Nigeria between 2009 and 2019 |
| title_exact_search | Estimating a Poverty Trend for Nigeria between 2009 and 2019 |
| title_exact_search_txtP | Estimating a Poverty Trend for Nigeria between 2009 and 2019 |
| title_full | Estimating a Poverty Trend for Nigeria between 2009 and 2019 Jonathan William Lain |
| title_fullStr | Estimating a Poverty Trend for Nigeria between 2009 and 2019 Jonathan William Lain |
| title_full_unstemmed | Estimating a Poverty Trend for Nigeria between 2009 and 2019 Jonathan William Lain |
| title_short | Estimating a Poverty Trend for Nigeria between 2009 and 2019 |
| title_sort | estimating a poverty trend for nigeria between 2009 and 2019 |
| topic | Data Availability Data Incomparability Economic Trends Household Consumption Expenditure ICT Data and Statistics Information and Communication Technologies Poverty Reduction Social Development Social Development and Poverty |
| topic_facet | Data Availability Data Incomparability Economic Trends Household Consumption Expenditure ICT Data and Statistics Information and Communication Technologies Poverty Reduction Social Development Social Development and Poverty |
| url | https://doi.org/10.1596/1813-9450-9974 |
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