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Aid, Allocation, GDP, economic growth, USAID
I wanted to investigate how the economic growth of developing countries affects the amount of aid it receives. In a study of the models previously used in aid allocation research, I noticed that the literature alternates between aid per capita and total commitment amounts as the dependent variable. After trying both, I found that economic growth is significant in the aid allocation models, but not in the aid per capita models. I hypothesized that while aid per capita models embody an individual focus on the needs of the recipient country, total aid allocation models embody more of a focus on overall donor strategy. In order to support this theory, I categorized the previous aid allocation studies by their main argument of aid allocation ("donor interest" or "recipient need") and the dependent variables they used. The literature matched up very cleanly with my theory. This not only suggests a new way to measure the allocation of aid, but potentially means that researchers have been cherry-picking results to support their hypotheses in this area of study.
The Annual Mary Lou Fulton Mentored Research Conference showcases some of the best student research from the College of Family, Home, and Social Sciences. The mentored learning program encourages undergraduate students to participate in hands-on and practical research under the direction of a faculty member. Students create these posters as an aide in presenting the results of their research to the public, faculty, and their peers.
BYU ScholarsArchive Citation
Beazer, Jackson, "More Money, Less Problems? New Answers to Aid Allocation Questions" (2015). FHSS Mentored Research Conference. 272.
Family, Home, and Social Sciences
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