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PEP online training courses

Advanced training, provided by world-leading experts, in cutting edge concepts and methodologies in development economics

The Partnership for Economic Policy (PEP) offers online training programs on the most up-to-date techniques and tools for economic policy analysis. These programs aim to help local researchers contribute to the design of effective national growth and poverty reduction strategies in their own countries. The pedagogical approach is founded on narrated presentations, accompanied by readings, guided exercises, and forum discussions. Evaluations are based on frequent quizzes and tests, practical works and a final exam.

In collaboration with Université Laval in Canada, PEP is offering three online distance-learning courses from early January to the end of March in 2018, 2019, and hopefully for many years to come. The 2018 courses have already begun and enrolment is closed. The 2019 courses will be advertised in the Fall of 2018. To be informed, you simply need to ensure that you are registered on the PEP web site (to check whether you are registered or if you have forgotten your username/password, click here).

Currently, PEP offers the following three courses:

Course 1: Policy Impact Analysis

Course 2: Computable General Equilibrium Modelling

Course 3: Measuring and Alleviating Poverty and Inequality

We hope to increase the number of courses offered.

Courses are accredited by Université Laval. On successful completion of each course, Université Laval will provide students with a certificate of completion. Université Laval will award a graduate microprogram certificate to students who complete all three courses within a maximum of three years.


Course content

Course 1:   Policy Impact Analysis  

Policy impact analysis is used to determine which policies, interventions and programs work, for whom, and in what circumstances. This course provides practical guidelines for designing and implementing various types of experimental and non-experimental techniques, including how to select the appropriate technique for each context. This course takes an applied, non-technical approach. Participants should have a working knowledge of basic statistics, particularly key concepts such as regression analysis. View the draft course syllabus (subject to change).

Course 2:  Computable General Equilibrium Modelling

Computable general equilibrium models are powerful analytical tools used widely in both developing and developed countries. This course introduces all aspects of this type of modeling, both theoretical and applied. At the end of this course, participants will be able to develop, program and use a computable general equilibrium model. View the draft course syllabus (subject to change).

Course 3: Measuring and Alleviating Poverty and Inequality  

Poverty and Inequality reduction is a central objective of economic policies in both developed and developing countries. This course introduces the main theoretical and empirical aspects of the economic analysis of poverty and inequality: distributive analysis, poverty and inequality measures and profiles, multidimensional poverty, robustness, pro-poor growth and policies, poverty alleviation, targeting criteria and the distributive effects of price changes and tax reforms. Each theoretical class is accompanied with practices on real data. Participants should have a working knowledge of basic statistics. View the draft course syllabus (subject to change).



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