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Simulating trade policy reforms at the detailed level: some practical solutions

Author

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  • Gohin, Alexandre
  • Laborde, David

Abstract

Complex trade policies, mixing different tools applied at heterogeneous level on specific products, are not compatible with abrupt quantitative economic models. The present paper proposes a pragmatic modelling solution for solving this issue. It allows to use the most disaggregated information available i.e. trade and protection data in a standard framework, here the GTAP model and database. On the theoretical aspect, we open the black box of the standard Armington approach applied in an aggregated framework. We separate the bundle effect of an aggregated trade flow composed of different specific products (such as different HS6 lines), and the real geographical specificities of varieties. Moreover, we look at the issue of zero-trade flows that are usually badly treated in CGE models. Using GTAPAgr model, we apply our disaggregation strategy to the dairy sector with a simple and illustrative case with two sub-products. The role of taking into account heterogeneous structure of trade and protection and the possibility of exclusion of some producers, i.e. trade flows going to zero, is demonstrated.

Suggested Citation

  • Gohin, Alexandre & Laborde, David, 2006. "Simulating trade policy reforms at the detailed level: some practical solutions," Conference papers 331557, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:331557
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    References listed on IDEAS

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    1. Marco Missaglia & Paul de Boer, 2004. "Food-For-Work versus Cash-For-Work: Emergency Assistance in Palestine," Economic Systems Research, Taylor & Francis Journals, vol. 16(4), pages 367-390.
    2. Heij, Christiaan & de Boer, Paul & Franses, Philip Hans & Kloek, Teun & van Dijk, Herman K., 2004. "Econometric Methods with Applications in Business and Economics," OUP Catalogue, Oxford University Press, number 9780199268016.
    3. Paul de Boer & Bjarne S. Jensen, 2005. "The Expenditure System of CDES Indirect Utility Functions," DEGIT Conference Papers c010_036, DEGIT, Dynamics, Economic Growth, and International Trade.
    4. Somermeyer, W. H. & Langhout, A., 1972. "Shapes of Engel curves and demand curves: Implications of the expenditure allocation model, applied to Dutch data," European Economic Review, Elsevier, vol. 3(3), pages 351-386, November.
    5. de Boer, P.M.C. & Missaglia, M., 2005. "Introducing the indirect addilog system in a computable general equilibrium model: a case study for Palestine," Econometric Institute Research Papers EI 2005-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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