The use of unit-level census data for research on poverty: a multiscale approach
Unit-level data (individual, household or farm) from the 1988 population and 1993 agricultural censuses of Honduras have been integrated into a Geographic Information System (GIS). We showed how poverty indices can be computed for different scales of aggregation from village to country, and how they...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Language: | Inglés |
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International Center for Tropical Agriculture
2000
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/55977 |
| _version_ | 1855516066553266176 |
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| author | Leclerc, Gregoire Nelson, A. Knapp, E.B. |
| author_browse | Knapp, E.B. Leclerc, Gregoire Nelson, A. |
| author_facet | Leclerc, Gregoire Nelson, A. Knapp, E.B. |
| author_sort | Leclerc, Gregoire |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Unit-level data (individual, household or farm) from the 1988 population and 1993 agricultural censuses of Honduras have been integrated into a Geographic Information System (GIS). We showed how poverty indices can be computed for different scales of aggregation from village to country, and how they compare to other published figures. Indicators derived from the analysis of well-being ranking by local informants in 90 communities have been extrapolated to the entire country by means of proxy indicators computed from reasonably well correlated census data. We found that the choice of the indicator as well as the scale of analysis result different geographical representations of distributions of poverty, which may affect significantly the relevance and impact of poverty alleviation policies. We briefly introduce spatial statistical methods to process the data on a given scale, which allows analyses of correlation with other factors significant on the same scale. The same methods also help to detect errors in the data or to determine the optimum scale of a particular indicator. |
| format | Conference Paper |
| id | CGSpace55977 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2000 |
| publishDateRange | 2000 |
| publishDateSort | 2000 |
| publisher | International Center for Tropical Agriculture |
| publisherStr | International Center for Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace559772025-11-05T17:12:33Z The use of unit-level census data for research on poverty: a multiscale approach Leclerc, Gregoire Nelson, A. Knapp, E.B. poverty social indicators databases population censuses agricultural censuses pobreza indicadores sociales bases de datos censos de población censos agrarios Unit-level data (individual, household or farm) from the 1988 population and 1993 agricultural censuses of Honduras have been integrated into a Geographic Information System (GIS). We showed how poverty indices can be computed for different scales of aggregation from village to country, and how they compare to other published figures. Indicators derived from the analysis of well-being ranking by local informants in 90 communities have been extrapolated to the entire country by means of proxy indicators computed from reasonably well correlated census data. We found that the choice of the indicator as well as the scale of analysis result different geographical representations of distributions of poverty, which may affect significantly the relevance and impact of poverty alleviation policies. We briefly introduce spatial statistical methods to process the data on a given scale, which allows analyses of correlation with other factors significant on the same scale. The same methods also help to detect errors in the data or to determine the optimum scale of a particular indicator. 2000 2015-01-28T14:22:03Z 2015-01-28T14:22:03Z Conference Paper https://hdl.handle.net/10568/55977 en Open Access application/pdf International Center for Tropical Agriculture Leclerc, Gregoire; Nelson, Andy; Knapp, E. Bronson. 2000. The use of unit-level census data for research on poverty: a multiscale approach. In: International Workshop Assessing the Impact of Agricultural Research on Poverty Alleviation (1999, San José, Costa Rica). Poverty alleviation workshop [on line]. Centro Internacional de Agricultura Tropical (CIAT), Cali, CO. v. |
| spellingShingle | poverty social indicators databases population censuses agricultural censuses pobreza indicadores sociales bases de datos censos de población censos agrarios Leclerc, Gregoire Nelson, A. Knapp, E.B. The use of unit-level census data for research on poverty: a multiscale approach |
| title | The use of unit-level census data for research on poverty: a multiscale approach |
| title_full | The use of unit-level census data for research on poverty: a multiscale approach |
| title_fullStr | The use of unit-level census data for research on poverty: a multiscale approach |
| title_full_unstemmed | The use of unit-level census data for research on poverty: a multiscale approach |
| title_short | The use of unit-level census data for research on poverty: a multiscale approach |
| title_sort | use of unit level census data for research on poverty a multiscale approach |
| topic | poverty social indicators databases population censuses agricultural censuses pobreza indicadores sociales bases de datos censos de población censos agrarios |
| url | https://hdl.handle.net/10568/55977 |
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