Estimating multidimensional development resilience
Resilience measurement has received substantial attention over the past decade or so. Existing measures, however, relate resilience to a single well-being indicator. This may be problematic in contexts where households face deprivations in multiple dimensions. We explore how sensitive estimates of h...
| Autores principales: | , , , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/151999 |
| _version_ | 1855518280872099840 |
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| author | Lee, Seungmin Abay, Kibrom A. Barrett, Christopher B. Hoddinott, John F. |
| author_browse | Abay, Kibrom A. Barrett, Christopher B. Hoddinott, John F. Lee, Seungmin |
| author_facet | Lee, Seungmin Abay, Kibrom A. Barrett, Christopher B. Hoddinott, John F. |
| author_sort | Lee, Seungmin |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Resilience measurement has received substantial attention over the past decade or so. Existing measures, however, relate resilience to a single well-being indicator. This may be problematic in contexts where households face deprivations in multiple dimensions. We explore how sensitive estimates of household-level resilience are to the specific well-being indicator used and show that measures are only weakly correlated across different, reasonable indicators based on expenditure-based poverty, dietary diversity, and livestock asset holdings. We then introduce a multidimensional resilience measure, integrating the probabilistic moment-based resilience measurement approach of Cissé and Barrett (2018) with the multidimensional poverty measurement method of Alkire and Foster (2011). Applying the new method to household panel data, we show that univariate and multidimensional resilience measures can yield varied inferences on the ranking of households as well as potential impact of development interventions. |
| format | Artículo preliminar |
| id | CGSpace151999 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1519992025-11-06T05:32:39Z Estimating multidimensional development resilience Lee, Seungmin Abay, Kibrom A. Barrett, Christopher B. Hoddinott, John F. assets consumption dietary diversity livestock nutrition poverty resilience Resilience measurement has received substantial attention over the past decade or so. Existing measures, however, relate resilience to a single well-being indicator. This may be problematic in contexts where households face deprivations in multiple dimensions. We explore how sensitive estimates of household-level resilience are to the specific well-being indicator used and show that measures are only weakly correlated across different, reasonable indicators based on expenditure-based poverty, dietary diversity, and livestock asset holdings. We then introduce a multidimensional resilience measure, integrating the probabilistic moment-based resilience measurement approach of Cissé and Barrett (2018) with the multidimensional poverty measurement method of Alkire and Foster (2011). Applying the new method to household panel data, we show that univariate and multidimensional resilience measures can yield varied inferences on the ranking of households as well as potential impact of development interventions. 2024-09-04 2024-09-05T14:59:42Z 2024-09-05T14:59:42Z Working Paper https://hdl.handle.net/10568/151999 en Open Access application/pdf International Food Policy Research Institute Lee, Seungmin; Abay, Kibrom A.; Barrett, Christopher B.; and Hoddinott, John F. 2024. Estimating multidimensional development resilience. IFPRI Discussion Paper 2268. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/151999 |
| spellingShingle | assets consumption dietary diversity livestock nutrition poverty resilience Lee, Seungmin Abay, Kibrom A. Barrett, Christopher B. Hoddinott, John F. Estimating multidimensional development resilience |
| title | Estimating multidimensional development resilience |
| title_full | Estimating multidimensional development resilience |
| title_fullStr | Estimating multidimensional development resilience |
| title_full_unstemmed | Estimating multidimensional development resilience |
| title_short | Estimating multidimensional development resilience |
| title_sort | estimating multidimensional development resilience |
| topic | assets consumption dietary diversity livestock nutrition poverty resilience |
| url | https://hdl.handle.net/10568/151999 |
| work_keys_str_mv | AT leeseungmin estimatingmultidimensionaldevelopmentresilience AT abaykibroma estimatingmultidimensionaldevelopmentresilience AT barrettchristopherb estimatingmultidimensionaldevelopmentresilience AT hoddinottjohnf estimatingmultidimensionaldevelopmentresilience |