The African Growth and Development Policy Modeling Consortium is an initiative aimed at positioning African experts to take a leadership role in the study of strategic development questions and the broader agricultural growth and policy debate facing African countries.

AGRODEP Bulletin: Edition 5, Volume 2

The AGRODEP Bulletin is a publication that provides insight into major economic development issues in Africa. It presents research and capacity building activities undertaken by AGRODEP and announces the publication of new economic data and statistics on Africa. You can read the current issue and previous issues of the Bulletin in the Bulletin archives.

2015 Research Valorization Awards
During the first half of 2015, several AGRODEP members have utilized the Research Valorization grant program to travel to several international conferences and fund journal submission fees. Congratulations to Eugenie Maiga, Margaret MabuguOlayinka Kareeem, Miriam Omolo, Bethuel KinuthiaOswald Koussihouede, Isaac Oluwatayo, and Christian Tipoy.
Gabon 2000 DHS

The 2000 Gabon DHS provides information on population and health and is comparable to other DHS surveys. This survey was conducted between July 2000 and January 2001 and was the first of this type of survey in Gabon. Survey and content available in French.

Key statistics and AGRODEP documentation on Gabon can be found here.

AGRODEP GAMS Training Toolbox

The AGRODEP GAMS Training Toolbox is intended to assist those interested in economic modeling-- including but not limited to general and partial equilibrium models as well as optimization problems-- by teaching them to use the GAMS software. The training is publicly available and viewable in English or French.


27 Jul, 2015 - 31 Jul, 2015 IFPRI - Dakar



This course will expose students to the current practice of applied nonparametric methods. These methods are designed to overcome misspecification issues that dominate applied economic research. Using nonparametric methods can shed light on new issues that were previously hidden due to ad hoc model specifications imposed in the analysis. This class will provide hands on instruction to students in state-of-the-art nonparametric methods designed specifically to assist students with empirical issues that arise in the application of these techniques. The basic concepts of smoothing will be covered, complemented with numerous examples and illustrations through the open source software R. This combination of class instruction and computer tutorials will assist students in developing a sound foundation to apply nonparametric methods in their own research agendas.

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