Combining Light Monitoring Surveys with Integrated Surveys to Improve Targeting for Poverty Reduction: The Case of Ghana
研究发现基于短问卷的轻量监测调查构建的贫困地图不准确，会导致大量漏出；将其与更详细的综合调查结合，可显著减少瞄准误差并构建更精细的贫困地图。
Policymakers use poverty maps to design and assess poverty programs. The accuracy of these maps, which is critical for targeting, depends largely on the nature of the instrument used to construct them. Recently, in response to tight budget constraints, many countries have begun to construct poverty maps based on light monitoring surveys that rely on short questionnaires. This article shows that poverty maps constructed from such surveys are not accurate and could result in substantial leakage. Light monitoring surveys do include large samples that can help to target poverty programs at subregional levels. Combining these surveys with more detailed Integrated Surveys can help researchers reduce targeting errors significantly and build improved poverty maps with finer levels of disaggregation.