multi-market partial equilibrium model

DREAM Model

Long Name
Dynamic Research EvaluAtion for Management (DREAM) Model , version 3
Source / Citation
Dynamic Research EvaluAtion for Management (DREAM), version 3.0.0, International Food Policy Research Institute
Last version on
Use Policy
Free to use, modify and distribute with due credits and citation.

DREAM, or Dynamic Research EvaluAtion for Management, is a menu-driven software package for evaluating the economic impacts of agricultural research and development (R&D). Users can simulate a range of market, technology adoption, research spillover, and trade policy scenarios based on a flexible, multi-market, partial equilibrium model.

IMPACT Model

Long Name
International Model for Policy Analysis of Agricultural Commodities and Trade
Primary Contact
First released on
Last version on
Format
GAMS

The IMPACT model is a representation of a competitive world agricultural market. It is specified for 30 crop and livestock commodities, including cereals, soybeans, cotton, roots and tubers, meats, milk, eggs, oils, sugar/sweeteners, fruits/vegetables, and fish. It is specified as a set of 115 countries and regions within each of which supply, demand, and prices for agricultural commodities are determined.

EMM

Long Name
Economy-Wide Multi-market Model
Primary Contact
Country
Source / Citation
Diao,X., B.Fekadu, S.Haggblade, A.S.Taffesse, K.Wamisho, and B.Yu. 2007. Agricultural Growth Linkages in Ethiopia:Estimates using Fixed and Flexible Price Models. International Food Policy Research Discussion Paper No. 00695. Washington, DC:IFPRI
First released on
Last version on
Version Number
1
Format
GAMS

The Economy-Wide Multi-Market (EMM) model is based on neoclassical microeconomic theory. In the model, an aggregate producer represents a specific zone’s production of a specific sector. In this application for Ethiopia, there are a total of 2,352 (42 sub-sectors x 56 zones) such representative producers. Consistent with the setup of many other multi-market models, the supply function, rather than the production function, is used to capture each representative producer’s response to market conditions.