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| Simler, Kenneth R.; Nhate, Virgulino. |
| Typical living standards surveys can provide a wealth of information about welfare levels, poverty, and other household and individual characteristics. However, these estimates are necessarily at a high level of aggregation, because such surveys usually include only a few thousand households, with coarse spatial stratification. Larger databases, such as national censuses, provide sufficient observations for more disaggregated analysis, but typically collect very little socioeconomic information. This paper combines data from the 1996–97 Mozambique National Household Survey of Living Conditions with the 1997 National Population and Housing Census to generate small-area (subdistrict) estimates of welfare, poverty, and inequality, with the associated standard... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Poverty; Inequality; Poverty mapping; Mozambique; Food Security and Poverty. |
| Ano: 2005 |
URL: http://purl.umn.edu/59594 |
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| Benson, Todd. |
| Poverty mapping applies models of household welfare developed from detailed household consumption and expenditure surveys to the extensive but less detailed data from national censuses. A poverty map for Malawi, developed by drawing upon information from the 1997–98 Malawi Integrated Household Survey with the 1998 Malawi Population and Housing Census, provides aggregate estimates of household welfare and poverty at a highly disaggregated level—down to the level of local government wards. Given the close association between welfare and food security in most Malawi households, such a detailed poverty map can be of considerable value to development and relief organizations, as they plan and target activities to improve the ability of poor households to cope... |
| Tipo: Report |
Palavras-chave: Poverty mapping; Food security; Malawi; Food relief; Targeting; Food Security and Poverty. |
| Ano: 2006 |
URL: http://purl.umn.edu/55897 |
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| Benson, Todd; Chamberlin, Jordan; Rhinehart, Ingrid. |
| We examine the spatial determinants of the prevalence of poverty for small spatially defined populations in rural Malawi. Poverty prevalence was estimated using a small-area poverty estimation technique. A theoretical approach based on the risk chain conceptualization of household economic vulnerability guided our selection of a set of potential risk and coping strategies—the determinants of our model—that could be represented spatially. These were used in two analyses to develop global and local models, respectively. In our global model—a spatial error model—only eight of the more than two dozen determinants selected for analysis proved significant. In contrast, all of the determinants considered were significant in at least some of the local models of... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Spatial regression; Poverty determinants; Poverty mapping; Malawi; Food Security and Poverty. |
| Ano: 2005 |
URL: http://purl.umn.edu/59601 |
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