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Does Foreign Aid Undermine Political Institutions?

Does foreign aid undermine political institutions?

Many scholars, including the recent Nobel Laureate Angus Deaton, would tend to agree. While Deaton qualifies this view as being applicable to countries that receive very large inflows of foreign aid relative to their government budgets, the basic argument goes something like this: When a country receives foreign aid,

AidData Invites You To Find Out Who Are Developing Leaders Listening To?

Join AidData for a webinar discussing our latest report, Listening to Leaders: Which Development Partners Do They Prefer and Why?, on Thursday, November 19th from 10:00 AM EST to 11:00 AM EST.

AidData’s Promise to Users of Its Data Products

Today marks an important milestone for AidData: we’re going public with our Data Management Plan (DMP). Why is this significant? It’s a public commitment from AidData to our users on what they can reasonably expect of us in terms of when and how we will collect, clean, standardize, and update data.

Listening to Our Readers: Improvements to AidData’s Value for Money Index

Last week, we released AidData’s Listening to Leaders report which sought to a answer the question: which development partners do leaders in low- and middle-income countries prefer and why? The report has already attracted far more attention than we expected. It is stirring discussion, debate,

PRESS RELEASE: Developing World Leaders Speak Out on Aid Donors

Foreign aid donors are quick to assess the performance of other countries and dispense policy advice, but how well do these “development partners” stack up when rated by leaders in the countries they are trying to help? According to new research released today by AidData, multilaterals like the World Bank do well, the big bilaterals not as well, while the emerging donors lag behind.

Measuring the ‘Health’ of AidData Project Records: Quality Scores for Development Finance Data Based on Open-Sources

To engage in social science research is to contend with imperfect information, uncertainty and human error on occasion. Conducting research on international development finance is no exception; even the data that donor institutions themselves vet and publish contain errors, biases, and inconsistencies.

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