Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/96329 
Year of Publication: 
2014
Series/Report no.: 
WIDER Working Paper No. 2014/040
Publisher: 
The United Nations University World Institute for Development Economics Research (UNU-WIDER), Helsinki
Abstract: 
Identifying the poorest for selection into social transfer programmes is a major challenge facing programme implementers. An innovative cash transfer programme in northern Kenya trialled three targeting mechanisms to learn lessons about which approach is most effective at minimizing inclusion and exclusion errors. We conclude that community-based targeting is the most accurate of the three approaches, followed by categorical targeting by age and household dependency ratio. However, targeting performance is strongly affected by implementation capacity and modalities. Through a simulation exercise we show that a proxy means test would have performed better than single categorical indicators.
Subjects: 
social transfers
errors
Kenya
JEL: 
I38
I32
D60
Persistent Identifier of the first edition: 
ISBN: 
978-92-9230-761-5
Document Type: 
Working Paper

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