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Course Content

Advanced Training in Computable General Equilibrium and GAMS

PEP School training programs are tailored for students, researchers and practitioners around the world who wish to conduct rigorous scientific analyses of issues related to poverty, development and economic policies.
This course is tailored for participants who have already followed a basic training in CGE modelling, preferably a PEP school in CGE modelling, but note that all the applications will be considered.
The course is split into 3 parts:
 
Standard static and dynamic CGE modelling-"Hands on" on participants SAM-Introduction to Millennium Development Goals in a CGE

  • Workshop 1: Standard static and dynamic CGE modelling: 5-9 Nov
    Presentation of the PEP 1-1 model (standard one country static model)
    Simulations using the PEP 1-1 model
    Presentation of the PEP 1-t model (standard one country dynamic model)
    Simulations using PEP 1-t model
  • Workshop 2: "Hands on" on participants' SAMs: 12-13 Nov (Workshop 2 CANCELLED)
    Participants can bring their own country' SAM, which will be made to run on PEP standard models (PEP 1-1 and/or PEP 1-t). This particular workshop will ensure participants to go home with an effective CGE model running on their country's data.
  • Workshop 3: Introduction to MDGs in a CGE model. 14-16 Nov (Workshop 3 CANCELLED)
    Presentation of the Millenium Development Goals
    How to model them in a standard CGE model
    Interpretation of simulation

 
Note that participants that are not interested in workshop 2 can attend workshops 1 and 3 only. In the same way, participants that are not interested in workshop 3 can attend only workshops 1 and 2.
 
The courses will be taught in English, and thus English language proficiency is required.

 

NEW: Thanks to GAMS, Participants will have access to a GAMS Licence for the duration of the course and the following two weeks.

Teaching Resources

Hélène Maisonnave
PEP resource person
Modelling and Policy Impact Analysis
Bio

Véronique Robichaud
PEP resource person
Modelling and Policy Impact Analysis
Bio

Partners

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