AGRODEP

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 Newsletter No. 39: August 2015

The latest issue of the AGRODEP newsletter is now available on the AGRODEP website. It includes news about recent AGRODEP activities and features three AGRODEP members. The newsletter is published monthly. You can read the August issue and previous issues of the newsletter in the newsletter archives.

AGRODEP Working Paper No. 0014

AGRODEP recently released Working Paper 0014, "Is more chocolate bad for poverty? An evaluation of cocoa pricing for Ghana's industrialization and poverty reduction," coauthored by AGRODEP members Francis Mulangu and Eugenie Maiga, and Mario Miranda of The Ohio State University. All AGRODEP Working Papers can be viewed in the working paper library.

Export Restrictions And import Tariffs Overall impacts (ERATO) model

The Export Restrictions And import Tariffs Overall impacts (ERATO) model illustrates how a multi-market model can be used to analyze trade policy options in a context of a multi-product value chain. The ERATO model is a member of the MUlti Sectoral partial Equilibrium models (MUSE) developed for the AGRODEP Consortium.

Comoros 2003 World Health Survey

The overall aim of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters.

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

FEATURED NEWS AND EVENTS

7 Sep, 2015 - 11 Sep, 2015 IFPRI - Dakar

 

Overview

The wide availability of panel data presents unique opportunities for researchers. It is essential to understand the intuition and implications of the estimators and tests that are currently available to successfully take advantage of panel data. This course will focus on core panel data techniques, building a strong foundation before moving into more cutting edge methods that have been recently developed. The class will also discuss in detail implementation of panel data estimators and tests using the popular open source software R. The class will take place over five days to ensure maximum coverage of the core topics. 

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