Hai-Anh H. Dang, Peter F. Lanjouw, and Rob Swinkels
- Published in print:
- 2017
- Published Online:
- April 2017
- ISBN:
- 9780198797692
- eISBN:
- 9780191839054
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198797692.003.0008
- Subject:
- Economics and Finance, Development, Growth, and Environmental
Assessment of poverty dynamics can usefully inform poverty reduction policy, notably for the design of social protection interventions, but require panel data. Without actual panel data for Senegal, ...
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Assessment of poverty dynamics can usefully inform poverty reduction policy, notably for the design of social protection interventions, but require panel data. Without actual panel data for Senegal, this chapter applies new statistical methods to construct synthetic panel data from cross-sectional household surveys in 2005 and 2011 to study poverty transitions. In marked contrast to the picture obtained from cross-sectional data, the results suggest much mobility in and out of poverty during this period. More than half the population experiences poverty transition and more than two-thirds of the extreme (food) poor move up one or two welfare categories. Factors such as rural residence, disability, exposure to some kind of natural disaster, and informality in the labour market are associated with heightened risk of falling into poverty, while the opposite holds for factors such as belonging to certain ethnicities, migration, working in the non-agricultural sector, and having access to social capital.Less
Assessment of poverty dynamics can usefully inform poverty reduction policy, notably for the design of social protection interventions, but require panel data. Without actual panel data for Senegal, this chapter applies new statistical methods to construct synthetic panel data from cross-sectional household surveys in 2005 and 2011 to study poverty transitions. In marked contrast to the picture obtained from cross-sectional data, the results suggest much mobility in and out of poverty during this period. More than half the population experiences poverty transition and more than two-thirds of the extreme (food) poor move up one or two welfare categories. Factors such as rural residence, disability, exposure to some kind of natural disaster, and informality in the labour market are associated with heightened risk of falling into poverty, while the opposite holds for factors such as belonging to certain ethnicities, migration, working in the non-agricultural sector, and having access to social capital.
Rita Afsar and Mahabub Hossain
- Published in print:
- 2020
- Published Online:
- April 2020
- ISBN:
- 9780190121112
- eISBN:
- 9780190991258
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780190121112.003.0005
- Subject:
- Economics and Finance, Public and Welfare
Chapter 5 presents a systematic analysis of urban poverty by examining changes in the human-capital composition of the labour force, in the livelihoods of the respondents, and the level and ...
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Chapter 5 presents a systematic analysis of urban poverty by examining changes in the human-capital composition of the labour force, in the livelihoods of the respondents, and the level and composition of income for different occupational groups. It also identifies the determinants of household income with the help of a multivariate regression model, using the household-level data. Alongside, it examines the distribution of income over time, changes in the degree of inequality, and estimates the contribution of different sources of income to the income inequality with the help of the Gini decomposition analysis. It shows notable reduction in the incidence of moderate and extreme poverty in 2010. Also, it estimates changes in the incidence, intensity, and severity of poverty, identifying the correlates of poverty for Dhaka city in order to answer the question: is the poorer segment of the urban population benefitting from positive economic trends?Less
Chapter 5 presents a systematic analysis of urban poverty by examining changes in the human-capital composition of the labour force, in the livelihoods of the respondents, and the level and composition of income for different occupational groups. It also identifies the determinants of household income with the help of a multivariate regression model, using the household-level data. Alongside, it examines the distribution of income over time, changes in the degree of inequality, and estimates the contribution of different sources of income to the income inequality with the help of the Gini decomposition analysis. It shows notable reduction in the incidence of moderate and extreme poverty in 2010. Also, it estimates changes in the incidence, intensity, and severity of poverty, identifying the correlates of poverty for Dhaka city in order to answer the question: is the poorer segment of the urban population benefitting from positive economic trends?
