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We identify the major factors affecting farm and nonfarm income by using panel data in Ethiopia, Kenya, and Uganda. We supplement the panel data with household-level soil fertility data and road distance data to the nearest urban center. The proportion of loose surface roads, instead of tarmac roads, has a clear negative association with crop income, livestock income, and per capita income in both...
This study attempts to identify the major factors affecting farm and nonfarm income by using panel data of 894 rural households, interviewed in 2003 and 2005 in rural Uganda. We supplement the panel data with household-level soil fertility data and road distance data to the nearest urban center on three road types: tarmac, loose-surface, and dirt roads. The results suggest that soil fertility, measured...
This study determines the factors underlying the allocations of food aid in Ethiopia. We focus on regional differences in targeting criteria, and targeting accuracy according to per capita income. Data are drawn from two linked rural household surveys in 1995-96. We find large differences in food aid allocations across regions that cannot be explained by observable regional characteristics such as...
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