Bilateral Aid to Education Aiddata
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels | NA (no information available) |
| Technical name | econrel_aid_education_aiddata |
| Category | Economic relations |
| Label | Bilateral Aid to Education Aiddata |
| Related indicators | econrel_aid_education_aiddata |
This data represents a time-varying weighted and directed network in which countries are linked via Development aid to education. Sender and Receiver are her meant literally, i.e. the sender country sends the ODA and the receiver receives the ODA. The valkue represents the total amount of development aid to education in constant US$.
Coding rules
We draw dyadic network data from the 2016 released AidData Core Research Release version 3.1 dataset (Tierney et al. 2011). This dataset provides the most comprehensive project-level data for tracking international development finance. It depicts annual dyadic data on development aid commitments. Interestingly, in our dataset, no bilateral donation has been directed at participation in ILSAs. Similar findings are reported by Kijima (2010). Most of the projects are aimed at increasing the enrolment rate. The data spans a time frame from 1973 until 2018. Thus, we generate a lot of ties which have the value of zero because no aid was exchanged between these countries.
For any pair of country we summed up the aid commitment in a given year. Thus, countries cannot have multiple donation links per year, although several donations for different projects were interchanged. The data is organized as directed dyad-years – each country could potentially donate to each other country every year, however, most countries never donate in reality. We are dealing with a very specific network structure here: Donors hardly ever appear on the receiving side; only 22 do so. Even though there could be reciprocity in tie formation, we assume that the recipients have relatively little agency when it comes to establishing a donation link, thus the power is highly skewed and shows a hierarchical order.
Bibliographic info
Citation: "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. Updated in: AidData. 2017. AidDataCore_ResearchRelease_Level1_v3.1 Research Releases dataset. Williamsburg, VA: AidData. Accessed on 11.2020. http://aiddata.org/datasets."
Related publications: NA (no information available)
Misc
Project manager(s): Besche-Truthe, Fabian
Data release: NA (no information available)
Revisions: NA (no information available)
Sources
AidData Core Research Release,Version 3.1
