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Replication Data for: Why Aid is Unpredictable? An Empirical Analysis of the Gap Between Actual and Planned Aid (with Gustavo Javier Canavire-Bacarreza and Peter Nunnenkamp), Journal of International Development, 27 (4), 2015, pp. 440-463

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Why Aid is Unpredictable? An Empirical Analysis of the Gap Between Actual and Planned Aid (with Gustavo Javier Canavire-Bacarreza and Peter Nunnenkamp), Journal of International Development, 27 (4), 2015, pp. 440-463
 
Identifier https://doi.org/10.7910/DVN/CLMOQT
 
Creator Neumayer, Eric
 
Publisher Harvard Dataverse
 
Description Aid flows continue to be volatile and unpredictable, even though it is widely accepted that
this erodes the effectiveness of foreign aid. We argue that fragmented donor–recipient relationships,
notably the large number of minor aid relations that tend to be associated with donors’ desire to ‘fly
their flag’ around the world, increase aid unpredictability. Our empirical analysis of the determinants
of aid unpredictability suggests that aid becomes less predictable with more fragmented donor–
recipient relationships. Specifically, the effect of fragmentation on overshooting previous spending
plans is statistically significant and substantively important. In contrast, fragmented donor–
recipient relationships have no effect on the shortfall of actual aid compared with donors’ spending
plans
 
Subject Social Sciences
 
Contributor Neumayer, Eric