Bilateral Aid to Education - Importance for Receiver

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Quick info
Data type Numeric
Scale Metric
Value labels Not applicable
Technical name econrel_aid_education_importance_receiver
Category Economic relations
Label Bilateral Aid to Education - Importance for Receiver
Related indicators econrel_aid_education_aiddata, econrel_aid_education_importance_sender, econrel_aid_education_nr_donations

This data represents a time-varying weighted and directed network in which countries are linked via Development aid to education. Sender and Receiver are meant literally, i.e. the sender country sends the ODA and the receiver receives the ODA. The value represents the percentage of the total aid between a dyad in the respective year and the total aid a receiver is receiving in the given year. It therefore represents the importance of the donor for the receiver.


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. 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. Furthermore we summed up the donations a donor is donating in the respective years. For calculating the importance for the sender we use the following estimation:

total aid between a dyad in year t / total amount of donations a country receives in year t

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:


Related publications: Seitzer, Besche-Truthe 2021 Testing for the Money? Development Aid Distribution Patterns and Educational Assessments



Misc

Project manager(s): Fabian Besche-Truthe


Data release:
  • Version 0.001: Initial release


Revisions: No revisions yet

Sources

  • "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."