Researchers studying questions about what works, and what doesn’t, in development assistance can find a range of information resources here to assist them. The Research Datasets section includes downloadable datasets derived from AidData’s main database, as well as links to other datasets on development finance. The Replication Datasets section has a compilation of datasets used in publications on aid allocation and effectiveness by other scholars.
Through its association with the College of William and Mary and Brigham Young University, the AidData program has a number of affiliated researchers who are past or present members of the AidData staff and management team. In addition, there are a number of academic faculty and researchers at other institutions who have been involved in shaping the course of the AidData program. Links to articles and books, working papers, and briefs by these scholars are gathered here. Descriptions of ongoing projects are also available. For inquiries about any of these initiatives, please contact the authors, or contact AidData.
There is also a compilation of all published research using AidData by a wide range of authors available here. All research, whether published or unpublished, is exclusively the work of its author(s), and represents the author(s) views only. AidData's mission is to make aid information more accessible and useful. The AidData initiative works to disseminate research on development assistance, but does not take any official positions on research question.
Researchers who use AidData's project-level database should cite:
Tierney, Michael J., Daniel L. Nielson, Darren G. Hawkins, J. Timmons Roberts, Michael G. Findley, Ryan M. Powers, Bradley Parks, Sven E. Wilson, and Robert L. Hicks. 2011. More Dollars than Sense: Refining Our Knowledge of Development Finance Using AidData. World Development 39 (11): 1891-1906.