Updating poverty maps with panel data

This paper extends the methodology of Elbers, C., Lanjouw, J. O., & Lanjouw, P. (2003). Micro level estimation of poverty and inequality. Econometrica 71(1), 355-364 and presents a low cost approach to arriving at small area welfare estimates for non-census years. The approach requires panel data an...

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Detalles Bibliográficos
Autores principales: Emwanu, T., Hoogeveen, J.G., Okwi, P.O.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2006
Materias:
Acceso en línea:https://hdl.handle.net/10568/33266
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author Emwanu, T.
Hoogeveen, J.G.
Okwi, P.O.
author_browse Emwanu, T.
Hoogeveen, J.G.
Okwi, P.O.
author_facet Emwanu, T.
Hoogeveen, J.G.
Okwi, P.O.
author_sort Emwanu, T.
collection Repository of Agricultural Research Outputs (CGSpace)
description This paper extends the methodology of Elbers, C., Lanjouw, J. O., & Lanjouw, P. (2003). Micro level estimation of poverty and inequality. Econometrica 71(1), 355-364 and presents a low cost approach to arriving at small area welfare estimates for non-census years. The approach requires panel data and the estimation of a relation between per capita consumption from the year of interest and household characteristics from the census year. The method is illustrated for Uganda. It is shown that with the exception of the North progress in rural poverty reduction was broadly shared during 1992-99. Areas with high initial levels of poverty appear to have benefited less from growth.
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spelling CGSpace332662023-12-08T19:36:04Z Updating poverty maps with panel data Emwanu, T. Hoogeveen, J.G. Okwi, P.O. censuses dynamic models poverty welfare economics measurement data collection cartography This paper extends the methodology of Elbers, C., Lanjouw, J. O., & Lanjouw, P. (2003). Micro level estimation of poverty and inequality. Econometrica 71(1), 355-364 and presents a low cost approach to arriving at small area welfare estimates for non-census years. The approach requires panel data and the estimation of a relation between per capita consumption from the year of interest and household characteristics from the census year. The method is illustrated for Uganda. It is shown that with the exception of the North progress in rural poverty reduction was broadly shared during 1992-99. Areas with high initial levels of poverty appear to have benefited less from growth. 2006-12 2013-07-03T05:26:19Z 2013-07-03T05:26:19Z Journal Article https://hdl.handle.net/10568/33266 en Limited Access Elsevier World Development;34(12): 2076-2088
spellingShingle censuses
dynamic models
poverty
welfare economics
measurement
data collection
cartography
Emwanu, T.
Hoogeveen, J.G.
Okwi, P.O.
Updating poverty maps with panel data
title Updating poverty maps with panel data
title_full Updating poverty maps with panel data
title_fullStr Updating poverty maps with panel data
title_full_unstemmed Updating poverty maps with panel data
title_short Updating poverty maps with panel data
title_sort updating poverty maps with panel data
topic censuses
dynamic models
poverty
welfare economics
measurement
data collection
cartography
url https://hdl.handle.net/10568/33266
work_keys_str_mv AT emwanut updatingpovertymapswithpaneldata
AT hoogeveenjg updatingpovertymapswithpaneldata
AT okwipo updatingpovertymapswithpaneldata