Unité mixte de recherche 7235

On the allocation of talented people in developing countries: the role of oil rents

Christian Ebeke, Luc-Désiré Omgba, Rachid Laajaj

[en]Evidence has shown that the allocation of talented people affects the long-term growth. It has been found that a large population of engineers tends to foster innovation and growth more rapidly than population of lawyers and other activities with access to the public rent. Yet little is known about what determines the allocation of talents. This paper uses a sample of 69 developing countries to address this question. It shows that the oil rent tends to orient talents towards productive activities in well-governed countries, and towards rentseeking activities in poorly governed countries. These results are robust to different specifications, datasets on governance quality and estimation methods. The paper sheds light on the sources and mechanisms of the resource curse through its effect on human resources and rent-seeking activities. [/en]


mardi 17 mai 2022

Rencontres économiques

9h30 à 11h30

Comment se débarrasser des énergies fossiles et développer les énergies renouvelables dans un monde en crise ?

jeudi 19 mai 2022


Christophe Blot

Are all central bank asset purchases the same?

lundi 23 mai 2022

Law, Institutions and Economics in Nanterre (LIEN)

Clara Jean (Grenoble Ecole de Management)

The Value of Your Data: Privacy and Personal Data Exchange Networks

mardi 24 mai 2022

Recherche et Economie et Socioéconomie Politique, des Institutions et des Régulations (RESPIR)

Alice Sindzingre (CEPN) et Fabrice Tricou

De 13h30 à 15h30

Six forms of hierarchy for a theoretical analysis of capitalism

lundi 30 mai 2022

Law, Institutions and Economics in Nanterre (LIEN)

Antoine Dubus (ETH Zurich)

Salle G110

Data Driven Mergers and Acquisitions with Information Synergies

mardi 31 mai 2022

Series of Webinars on Economics of Environment, Energy and Transport (SWEEET)

Juan Pablo Montero (PUC)


jeudi 9 juin 2022


Rémi Generoso


jeudi 9 juin 2022

Groupe de travail « Intelligence artificielle »

Hugo Le Picard (IFRI)

Salle G614B

Le deep learning au service de l’analyse des énergies renouvelables en Afrique

Inscription aux Newsletters