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Poverty in a rising Africa / / [Kathleen Beegle, Luc Christiaensen, Andrew Dabalen, Isis Gaddis]
| Poverty in a rising Africa / / [Kathleen Beegle, Luc Christiaensen, Andrew Dabalen, Isis Gaddis] |
| Autore | Beegle Kathleen <1969-> |
| Pubbl/distr/stampa | Washington DC : , : World Bank, , [2016] |
| Descrizione fisica | 1 online resource (pages cm) |
| Disciplina | 339.4/6096 |
| Collana | Africa Poverty Report |
| Soggetto topico |
Poverty - Africa
Economic development - Africa |
| ISBN | 1-4648-0724-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; Foreword; Acknowledgments; About the Authors and Contributors; Abbreviations; Key Messages; Overview; Assessing the Data Landscape; Improving Data on Poverty; Revisiting Poverty Trends; Profiling the Poor; Taking a Nonmonetary Perspective; Measuring Inequality; Notes; References; Introduction; References; 1. The State of Data for Measuring Poverty; Types of Data for Measuring Monetary Poverty; The Political Economy of Data Production; Reappraising the Information Base on Poverty; Concluding Remarks and Recommendations; Notes; References; 2. Revisiting Poverty Trends
Trends Using Comparable and Better-Quality DataRobustness to Reliance on GDP Imputation; Profiling the Poor; The Movement of People into and out of Poverty; Concluding Remarks; Notes; References; 3. Poverty from a Nonmonetary Perspective; The Capability Approach; Levels of and Trends in Well-Being; Multiple Deprivation; Concluding Remarks; Notes; References; 4. Inequality in Africa; Perceptions of Inequality; Measurement of Inequality; Inequality Patterns and Trends; Unequal Opportunities; Extreme Wealth and Billionaires; Concluding Remarks; Notes; References; Boxes 1.1 Sources outside the national statistical system provide valuable information on well-being1.2 How did poverty change in Guinea and Mali? Lack of comparable data makes it difficult to know; 1.3 Many kinds of data in Africa are unreliable; 1.4 Can donors improve the capacity of national statistics offices? Lessons learned from MECOVI; 1.5 What is the threshold for being poor?; 2.1 Adjusting the data for Nigeria has a huge effect on estimates of poverty reduction; 2.2 How do spikes in food prices affect the measurement of poverty? 2.3 Can wealth indexes be used to measure changes in poverty?3.1 How useful are subjective data in monitoring poverty?; 3.2 Tracking adult literacy with data remains challenging; 3.3 What happens to Africans who flee their homes?; 3.4 Demographic and Health Surveys make it possible to measure multidimensional poverty; 3.5 What is the multidimensional poverty index (MPI)?; 4.1 A primer on the Gini index; 4.2 Can the Gini index be estimated without a survey?; 4.3 Are resources within households shared equally? Evidence from Senegal; Figures O.1 Good governance and statistical capacity go togetherO.2 Adjusting for comparability and quality changes the level of and trends in poverty; O.3 Other estimates also suggest that poverty in Africa declined slightly faster and is slightly lower; O.4 Fragility is associated with significantly slower poverty reduction; O.5 Acceptance of domestic violence is twice as high in Africa as in other developing regions; O.6 Residents in resource-rich countries suffer a penalty in their human development; O.7 Declining inequality is often associated with declining poverty I.1 Poverty reduction in Africa lags other regions |
| Record Nr. | UNINA-9910798152803321 |
Beegle Kathleen <1969->
|
||
| Washington DC : , : World Bank, , [2016] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Poverty in a rising Africa / / [Kathleen Beegle, Luc Christiaensen, Andrew Dabalen, Isis Gaddis]
| Poverty in a rising Africa / / [Kathleen Beegle, Luc Christiaensen, Andrew Dabalen, Isis Gaddis] |
| Autore | Beegle Kathleen <1969-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Washington DC : , : World Bank, , [2016] |
| Descrizione fisica | 1 online resource (pages cm) |
| Disciplina | 339.4/6096 |
| Collana | Africa Poverty Report |
| Soggetto topico |
Poverty - Africa
Economic development - Africa |
| ISBN | 1-4648-0724-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; Foreword; Acknowledgments; About the Authors and Contributors; Abbreviations; Key Messages; Overview; Assessing the Data Landscape; Improving Data on Poverty; Revisiting Poverty Trends; Profiling the Poor; Taking a Nonmonetary Perspective; Measuring Inequality; Notes; References; Introduction; References; 1. The State of Data for Measuring Poverty; Types of Data for Measuring Monetary Poverty; The Political Economy of Data Production; Reappraising the Information Base on Poverty; Concluding Remarks and Recommendations; Notes; References; 2. Revisiting Poverty Trends
Trends Using Comparable and Better-Quality DataRobustness to Reliance on GDP Imputation; Profiling the Poor; The Movement of People into and out of Poverty; Concluding Remarks; Notes; References; 3. Poverty from a Nonmonetary Perspective; The Capability Approach; Levels of and Trends in Well-Being; Multiple Deprivation; Concluding Remarks; Notes; References; 4. Inequality in Africa; Perceptions of Inequality; Measurement of Inequality; Inequality Patterns and Trends; Unequal Opportunities; Extreme Wealth and Billionaires; Concluding Remarks; Notes; References; Boxes 1.1 Sources outside the national statistical system provide valuable information on well-being1.2 How did poverty change in Guinea and Mali? Lack of comparable data makes it difficult to know; 1.3 Many kinds of data in Africa are unreliable; 1.4 Can donors improve the capacity of national statistics offices? Lessons learned from MECOVI; 1.5 What is the threshold for being poor?; 2.1 Adjusting the data for Nigeria has a huge effect on estimates of poverty reduction; 2.2 How do spikes in food prices affect the measurement of poverty? 2.3 Can wealth indexes be used to measure changes in poverty?3.1 How useful are subjective data in monitoring poverty?; 3.2 Tracking adult literacy with data remains challenging; 3.3 What happens to Africans who flee their homes?; 3.4 Demographic and Health Surveys make it possible to measure multidimensional poverty; 3.5 What is the multidimensional poverty index (MPI)?; 4.1 A primer on the Gini index; 4.2 Can the Gini index be estimated without a survey?; 4.3 Are resources within households shared equally? Evidence from Senegal; Figures O.1 Good governance and statistical capacity go togetherO.2 Adjusting for comparability and quality changes the level of and trends in poverty; O.3 Other estimates also suggest that poverty in Africa declined slightly faster and is slightly lower; O.4 Fragility is associated with significantly slower poverty reduction; O.5 Acceptance of domestic violence is twice as high in Africa as in other developing regions; O.6 Residents in resource-rich countries suffer a penalty in their human development; O.7 Declining inequality is often associated with declining poverty I.1 Poverty reduction in Africa lags other regions |
| Record Nr. | UNINA-9910811655203321 |
|
Beegle Kathleen <1969->
|
||
| Washington DC : , : World Bank, , [2016] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||