This paper analyzes whether and to what extent non-governmental organizations (NGOs) outperform official donors by allocating aid in a way that renders effective poverty alleviation more likely. We employ Probit and Tobit models and make use of an exceptionally detailed database that allows an...

The regional allocation of aid within recipient countries has been largely ignored in the aid allocation literature. We use geocoded data on the location of aid projects financed by the World Bank and the African Development Bank within a sample of 27 recipient countries to assess the claim of...

Using a new dataset for 41 German non-governmental organizations (NGOs), we analyze the allocation of NGO aid across recipient countries in a Tobit regression framework. By identifying for each NGO the degree of public refinancing, we address the largely unresolved issue of whether financial...

Using a new dataset for 41 German non-governmental organizations (NGOs), we analyze the allocation of NGO aid across recipient countries in a Tobit regression framework. By identifying for each NGO the degree of public refinancing, we address the largely unresolved issue of whether financial...

Using a new dataset for 41 German non-governmental organizations (NGOs), we analyze the allocation of NGO aid across recipient countries in a Tobit regression framework. By identifying for each NGO the degree of public refinancing, we address the largely unresolved issue of whether financial...