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The PEP-Laval intensive graduate school in development economics provides flexible, advanced and accelerated training in the understanding and promotion of economic development. It addresses the local and global need for such training expressed by students and researchers around the world, who desire to conduct rigorous scientific research on issues related to poverty, economic and human development.

An outstanding feature of this program is that it is based on training material developed in collaboration with the United Nations Development Program (UNDP) and other international organizations, and that it uses analytical tools and techniques that were originally developed by the School’s own teaching team and that are now valued worldwide by development practitioners and analysts.

This includes CGE models, as well as original software and computer programs, such as the well-known Distributive Analysis/Analyse Distributive (DAD) software and the Stata-compatible Distributive Analysis for Stata Package (DASP).
The program offers three separate courses:

• Development Policy Modelling :  May 29 – June 4, 2011
• Measuring and Alleviating Poverty  : June 5 – June 11, 2011
• Statistical Monitoring of Development  :  CANCELLED

Upon completion of each of these courses, participants will receive a certificate of continued education by Université Laval. Under some conditions, the courses can also be credited towards completion of a University degree program.

The courses will be taught in English. English language proficiency is required.

This first edition of the PEP-Laval intensive graduate school in development economics will be held at Université Laval in Quebec City, Canada.

L'École PEP-Laval en économie du développement offre une formation de pointe et accélérée sur les techniques avancées de compréhension et d’analyse économique du développement.

Il répond aux besoins locaux et globaux d'une telle formation exprimés par les étudiants et les chercheurs qui désirent faire de la recherche scientifique rigoureuse sur des questions reliées à la pauvreté et au développement économique et humain.

Trois cours d’une durée d’une semaine chacun composent l’École en économie du développement. Il est possible de suivre un ou deux cours seulement. Ils sont offerts en anglais seulement pour cette première édition de l’École. Les communications orales et les travaux écrits pourront être faits en français ou en anglais.

Les approches pédagogiques sont variées : exposés magistraux, études de cas, simulations, etc.

Une caractéristique notable de ce programme est qu'il utilise des outils pédagogiques développés en collaboration avec le Programme de Développement des Nations unies (PNUD) et d'autres organisations internationales, et qu'il utilise des outils analytiques et des techniques qui ont été élaborés à l'origine par l’équipe d'enseignement de l'École et qui sont maintenant utilisés dans le monde entier par des praticiens et des analystes en développement.

Cela inclut des modèles CGE aussi bien que des logiciels originaux et des programmes informatiques, comme le renommé Distributive Analysis/Analyse Distributive (DAD) et  le logiciel Distributive Analysis for Stata Package (DASP, compatible avec Stata).

Le programme offre trois cours séparés :

•    Development Policy Modelling :  29 Mai –4 juin 2011
•    Measuring and Alleviating Poverty  : 5 juin – 11 juin 2011
•    Statistical Monitoring of Development  :  ANNULÉ

L’activité est reconnue en unités d’éducation continue (UEC) de l’Université Laval. Pour chacun des cours complété, les participants recevront une attestation d’éducation continue de l’Université Laval. Sous certaines conditions, les cours pourront aussi être crédités dans le cadre d’un programme universitaire.

Les cours seront offerts en anglais. Un niveau de compétence adéquate en anglais est donc requis.

La première édition de cette école d’été PEP-Laval aura lieu du 29 mai au 18 juin 2011 sur le campus de l’Université Laval  à Québec (Canada).

Week 1 : May 29 – June 4, 2011

Preliminary Course Plan   |   Timetable (identical for all courses)  

This course teaches participants how to build and use general equilibrium simulation models to analyze the impact of economic policies and macroeconomic shocks on agents and economies.

It involves:

• A review of the basic elements of producer/consumer theory and general equilibrium analysis;
• An introduction to the construction and use of a “Social Accounting Matrix” (SAM), which is used as the empirical basis for simulation models;
• An introduction to the GAMS software – the main tool used by the international scientific community in the construction and use of Computable General Equilibrium (CGE) models;
• A step-by-step construction of a basic general equilibrium model – starting from a relevant theoretical background, and then developing a statistical database, producing appropriate computer codes, and interpreting results.

At the end of this course, participants will:

• Understand the logic and utility of CGE models to analyze economic problems of developing and developed economies;
• Understand the data requirements and statistical needs of implementing such models;
• Have a basic command of the GAMS software;
• Be able to understand the economic logic underlying CGE models;
• Be able to interpret and explain results generated by CGE analysis.

Resource persons :
B. Decaluwé, A. Lemelin, H. Maisonnave, A. Martens, S. Mathouraparsad, V. Robichaud, L. Tiberti

The courses will be taught in English. English language proficiency is required.

Week 2 : June 5 – 11, 2011

Preliminary Course Plan   |   Timetable (identical for all courses)

This course teaches participants how to use monetary and non-monetary approaches for measuring and analyzing poverty. It also introduces a number of specific technical tools that are useful to prepare reliable and robust poverty profiles as well as to understand and forecast the impact on poverty of changes in various economic and non-economic factors.

It involves:

• A review of the concepts for the measurement of well-being;
• An introduction to methods for measuring and comparing monetary and multidimensional poverty;
• An introduction to the construction and estimation of poverty lines;
• A demonstration of normatively and statistically robust methods for understanding poverty;
• An introduction to methods for carrying out poverty and social impact analysis.

At the end of this course, participants will:

• Understand the features, the advantages and the disadvantages of the main approaches to measuring and analyzing well-being;
• Have constructed poverty profiles that are reliable and robust both from a measurement and from a statistical perspective, using case studies and national survey databases;
• Be able to estimate monetary poverty lines;
• Be familiar with the use of ordinal and qualitative indicators of well-being and be introduced to the construction of composite indices of poverty;
• Be able to model and discuss the impact of some policies and shocks on well-being and poverty.

Resource persons:
A. Araar, L.-M. Asselin, P. Ballon, Y. Batana, S. Bibi, J. Cockburn, J.-Y. Duclos, L. Tiberti, S. Younger

The courses will be taught in English. English language proficiency is required.

**** THIS COURSE HAS BEEN CANCELLED ***
Week 3 : June 12 – 18, 2011

Preliminary Course Plan 

This course explores the theory and the application of probability sampling for the construction and the optimal use of surveys in monitoring human development and profiling poverty.

It involves:

• An understanding of probabilistic survey sampling;
• A review of the types of data needed for measuring and monitoring development and (in particular) poverty;
• The determination of survey data weighting, using simulation experiments, actual case studies and national survey data;
• The calculation of confidence intervals for different types of estimates used in the monitoring of development;
• The elaboration of optimal survey plans for poverty measurement, based in part on past survey experience.

At the end of this course, participants will:

• Be able to understand the structure of simple and complex sampling methods;
• Select the statistical variables needed to compute reliable indicators of poverty and development;
• Compute the sampling weights necessary to estimate unbiased measures of poverty;
• To use survey data to construct statistically sound poverty profiles and perform statistical inference on them. 

Resource persons:
A. Araar, L.-M. Asselin, P. Ballon, Y. Batana, S. Bibi, J.-Y. Duclos, L. Tiberti

The courses will be taught in English. English language proficiency is required.