Poverty Comparisons Over Time and Across Countries in Africa
By D. Sahn, David Stifel. 2000
626 citations recorded by the source corpus.
Subfields: Nutrition and Dietetics, Safety Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/63c7cd75669ebbe6fdf7cd94d6b052086350780a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Nutrition and Dietetics
- Yélé Maweki Batana
- Stephan Klasen
- Kenneth Harttgen
- D. Filmer
- L. Pritchett
- Michael Grimm
- A. Wangombe
- N. Khadioli
In Safety Research
- Christopher B. Barrett
- Stephan Klasen
- Kenneth Harttgen
- Yélé Maweki Batana
- L. Pritchett
- Michael Grimm
- J. Lay
- P. Knorringa
In Sociology and Political Science
- Stephan Klasen
- Christopher B. Barrett
- Kenneth Harttgen
- Yélé Maweki Batana
- L. Pritchett
- Michael Grimm
- P. Knorringa
- J. Lay
Citations in the corpus
- A Household-Based Human Development Index (2012, methodology): “In addition, asset indices are used to analyze changes and determinants of poverty (Harttgen and Misselhorn, 2007; Sahn and Stifel, 2000; Stifel and Christiaensen 2007; World Bank, 2006).”
- Welfare dynamics in rural Kenya and Madagascar (2006, methodology): “The asset index introduced by Sahn and Stifel (2000) provides one method for doing precisely this.20 The Sahn-Stifel asset index reflects a latent ‘wealth’ variable common to most assets, providing a summary statistic of general wealth manifest in a range of assets.”
- Robust Multidimensional Poverty Comparisons (2006, neutral): “, z(K)), of multidimensional first-order poverty indices then includes all of the P indices defined in equation ( 17) that satisfy assumptions (20), (21) and (22).”
- Small Farmers, NGOs, and a Walmart World: Welfare Effects of Supermarkets Operating in Nicaragua (2013, neutral): “Productive assets and consumer durables are compiled into an index using factor analysis (Sahn and Stifel 2000) and details regarding computation of the asset index are available in the supplementary appendix online.”
- Financial literacy and savings decisions by adult financial consumers in Zimbabwe (2017, background): “The first factor explaining 45% of the variation is assumed to be our measure of financial literacy (Sahn and Stifel, 2000).”
- Using an Asset Index to Assess Trends in Poverty in Seven Sub-Saharan African Countries (2008, methodology): “Following in the footsteps of Filmer and Pritchett (1998), Sahn and Stifel (2000) and Asselin (2002), we created a composite poverty indicator or asset index from a selection of variables from the DHS surveys.”
- Multidimensional Measurement of Poverty Among Women in Sub-Saharan Africa (2013, positive): “Our dominance results differ from those obtained by Sahn and Stifel (2000) using asset poverty.”
- Constrained Gazelles: High Potentials in West Africa’s Informal Economy (2012, methodology): “This index is constructed using principal component analysis (Filmer and Pritchett, 2001; Sahn and Stifel, 2000).”
- Developing Credible Vulnerability Indicators for Climate Adaptation Policy Assessment (2007, background): “…carried out at the national level, it may be necessary to compare results with indicator studies focusing on related issues, such as poverty (Sahn and Stifel 2000), human development (World Bank 1997; UNDP 2003) or environmental sustainability (World Economic Forum 2002), as well as studies…”
- Urban-Rural Inequality in Living Standards in Africa (2003, background): “While there are obvious concerns that our asset index will not provide the same precise portrait of intertemporal and interregional poverty differences as would income or consumption, we have shown elsewhere that the use of the asset index is appropriate for such analyses (Sahn and Stifel 2000).”
- Exploring Alternative Measures of Welfare in the Absence of Expenditure Data (2003, background): “That is, we want an index of the form 7See Sahn and Stifel (2000) for an earlier paper in which they create an asset index based on a set of dichotomous variables available in the Demographic Health Surveys, and then use that asset to compare poverty inter-temporally and across countries in Africa.”