David Tschirley () (Department of Agricultural Economics, Michigan State University) Donald Rose
Abstract
This paper reports on work in Mozambique to develop an approach which more accurately assesses project outcomes. Specifically, the methods reported here use easy-to-collect information in combination with statistical methods to develop models that predict actual household income and nutrient intake adequacy (prediction models). If these methods are successful and transferable to other locales, they would allow evaluators to report directly on the outcomes of interest, rather than the indicators, at a small fraction of the cost of collecting and processing full income or food consumption surveys.
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Find related papers by JEL classification: R20 - Urban, Rural, and Regional Economics - - Household Analysis - - - General
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