Hands-on training in Computable General Equilibrium (CGE) Modelling II

The course is divided into two parts, I and II. The first course is offered for students who wish to get a stronger knowledge of CGE-modelling, while the second course is offered for those students who which to deepen their knowledge in the area.

Syllabus approved:

2015-05-22

Subjects:

Economics

Marking scale:

Pass / Fail

The requirements for attaining different grades are described in the course assessment criteria, which are contained in a supplement to the course syllabus. Current information on assessment criteria shall be made available at the start of the course.

Prerequisites: 

Successfully passing the course Hands-on training in Computable General Equilibrium (CGE) Modelling I, 2,5 ETCS credits.

Learning objective: 

The course will further deepen knowledge in all the basic tools for constructing and implementing computable general equilibrium models for policy analysis. By the end of the course the participants will have acquired detailed knowledge of and extensive hands-on experience in:

 - implementing a larger CGE model as a mixed complementarity problem (MCP),

 - incorporating a social accounting matrix representing into the model,

 - calibrating the CGE model,

 - formulating relevant scenarios for the topic at hand and run policy simulations,

 - linking GAMS with other tools for reading data and reporting results

Content 

The course uses a practical and very intensive approach to model building. The participants will by them self, build a computable general equilibrium model. The participants will acquire extensive practical hands-on experience in building a complex CGE model under the MCP format.

Implementation

Independent work completing a term paper, approx. 64 hours.

Requirements for examination:

Successfully completing a term paper.

Other information

The Department reserves the right to cancel the course if there are not more than 5 students who have applied for the course. There is no tuition fee. The student is responsible for any housing and travel costs.

Responsible department

Department of Forest Economics

Location

Distance studies - no lectures are offered.