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Targeting Social Transfer Programmes: Comparing Design and Implementation Errors Across Alternative Mechanisms
Author(s) -
SabatesWheeler Rachel,
Hurrell Alex,
Devereux Stephen
Publication year - 2015
Publication title -
journal of international development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.533
H-Index - 66
eISSN - 1099-1328
pISSN - 0954-1748
DOI - 10.1002/jid.3186
Subject(s) - proxy (statistics) , categorical variable , modalities , inclusion (mineral) , computer science , econometrics , psychology , economics , sociology , machine learning , social psychology , social science
An innovative cash transfer programme in northern Kenya is the first of its kind to trial three targeting mechanisms to learn about which approach is most effective at identifying the poorest households while minimising inclusion and exclusion errors. Analysing data collected through a randomised controlled trial, 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. © 2015 UNU‐WIDER. Journal of International Development published by John Wiley & Sons, Ltd.