Module Catalog Archive

Course: Implementation and Interpretation of Policy Scenarios in Partial Equilibrium Models of the Agricultural Sector (4201-811)

Note: Last updated September 2019. Current module catalog in HohCampus.
Persons:
  • Prof. Dr. Harald Grethe (verantwortlich)
Type of Course:
lecture with exercise and seminar
In-Class Hours Per Week:
2
Contents:

This course aims at enabling students to understand the implementation of agricultural policy scenarios in partial equilibrium models and the implications of scenario specification for model results. Furthermore, students learn to explore and analyze model results in a system-atic way. The course is based on exercises with two large scale PE models of the agricultural sector: ?CAPRI? and ?ESIM?. Students will be provided with study material before the course and are expected to prepare short presentations on various assignments. During the course, much of the work will concentrate on students working in small groups through prede-fined model scenarios.

Course Outline
1) Comparative introduction to the PE models CAPRI and ESIM.
2) Discussion of policy scenarios to be implemented.
3) Discussion on anticipated differences in results between models.
4) Some exercises to illustrate the relevance of differences between certain model speci-fications (e.g. net-trade/Armington; production effectiveness of DP?.).
5) In small groups: understanding model specific scenario implementation. Discussion of results.
6) Group presentations, systematic result comparison and discussion of underlying driv-ers.

Software
GAMS, MS-EXCEL, GSE, G-Tree, CAPRI GUI

Literature:

Francois, J. and K. Reinert (eds.) (1997). Applied Methods for Trade Policy Analysis.
Snyder, C. and W. Nicholson (2008), Microeconomic Theory, Basic Principles and Exten-sions.
Sadoulet, E., and A. de Janvry (1995), Quantitative Development Policy Analysis. (For an introduction to programming and multimarket models).
ESIM and CAPRI Model documentation.

Location:
Hohenheim
Remarks:

This is a one week, full day blocked course.

Module: