Previous literature largely ignores the heterogeneity of aid channels used by each single donor country. We estimate Tobit models to assess the relative importance of recipient need, recipient merit and self-interest of donors for various channels of official and private German aid across a...

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...

Having passed the "market test", private aid is claimed by its proponents to be better-targeted than official development assistance (ODA). But empirical evidence is largely lacking. We contribute to closing this gap by performing a case study of Nestlé, one of the frontrunners among...

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...