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A flexible, modular and extendable framework for CGE analysis in GAMS

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  • Britz, Wolfgang
  • van der Mensbrugghe, Dominique

Abstract

We present a GAMS based framework for Computable General Equilibrium analysis which can be flexibly configured to depict different nestings in production and factor supply, while allowing a choice between different functional forms for demand and modeling international trade sectors (Armington, Armington plus CET, Melitz and Krugmann model). Either a regional household approach or separate accounts for government and potentially multiple private household with related closures are available. Supply and factor markets can be dis-aggregated to sub-regions. We compare the layout of different well-known global and single country CGE models and discuss to what extent our flexible framework can replicate these features. In a structural sensitivity analysis, we compare major results of test shocks (multi-lateral trade liberalization and endowment changes in one country) by our framework under different configuration. These reflect important structural differences between the chosen examples as well as additional features such as the Melitz model or endogenous capital stocks driven by investments in a comparative-static setting. We find relative limited differences between models based on the Armington assumption, even if other features differ such as closures, the production function nesting, allowing for substitution on different nodes of the nest, for sluggish factor supply between agricultural and non-agricultural sectors and other elements such as the functional form in demand. A discussion on further joint development of such a framework leads to our summary and conclusions.

Suggested Citation

  • Britz, Wolfgang & van der Mensbrugghe, Dominique, 2017. "A flexible, modular and extendable framework for CGE analysis in GAMS," Conference papers 332918, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:332918
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    References listed on IDEAS

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    1. Lee, Huey-Lin & Hertel, Thomas W. & Sohngen, Brent & Ramankutty, Navin, 2005. "Towards An Integrated Land Use Database for Assessing the Potential for Greenhouse Gas Mitigation," Technical Papers 283423, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Keeny, Roman & Hertel, Thomas, 2005. "GTAP-AGR: A Framework for Assessing the Implications of Multilateral Changes in Agricultural Policies," Technical Papers 283422, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Britz, Wolfgang, 2014. "A New Graphical User Interface Generator for Economic Models and its Comparison to Existing Approaches," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 63(04), pages 1-15, December.
    4. Burniaux, Jean-Marc & Truong Truong, 2002. "GTAP-E: An Energy-Environmental Version of the GTAP Model," GTAP Technical Papers 923, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    5. Burniaux, Jean-March & Truong, Truong P., 2002. "Gtap-E: An Energy-Environmental Version Of The Gtap Model," Technical Papers 28705, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Britz, Wolfgang & van der Mensbrugghe, Dominique, 2016. "Reducing unwanted consequences of aggregation in large-scale economic models - A systematic empirical evaluation with the GTAP model," Economic Modelling, Elsevier, vol. 59(C), pages 463-472.
    7. Zeynep Akgul & Nelson B Villoria & Thomas W Hertel, 2016. "GTAP-HET: Introducing Firm Heterogeneity into the GTAP Model," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 111-180, June.
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    Cited by:

    1. van der Mensbrugghe, Dominique, 2019. "The Standard GTAP Model in GAMS, Version 7.1," GTAP Working Papers 6825, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.

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