How to Target Households in Adaptive Social Protection Systems? Evidence from Humanitarian and Development Approaches in Niger
利用尼日尔面板数据，模拟了多种瞄准方法（如代理家计调查、家庭经济分析、地理瞄准）在识别长期贫困和暂时粮食不安全家庭中的表现，为构建适应性社会保护系统提供依据。
The methods used to identify the beneficiaries of programmes aiming to address persistent poverty and shocks are subject to frequent policy debates. Relying on panel data from Niger, this report simulates the performance of various targeting methods that are widely used by development and humanitarian actors. The methods include proxy-means testing (PMT), household economy analysis (HEA), geographical targeting, and combined methods. Results show that PMT performs more effectively in identifying persistently poor households, while HEA shows superior performance in identifying transiently food insecure households. Geographical targeting is particularly efficient in responding to food crises, which tend to be largely covariate. Combinations of geographical, PMT, and HEA approaches may be used as part of an efficient and scalable adaptive social protection system. Results motivate the consolidation of data across programmes, which can support the application of alternative targeting methods tailored to programme-specific objectives.