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CAPRI versus AGLINK-COSIMO: Two partial equilibrium models - Two baseline approaches

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  • Adenauer, Marcel

Abstract

The agricultural modelling world has generated several models aiming at the analysis of the response of the sector to certain changes in exogenous mainly policy variables. Among those, the CAPRI modelling system developed by a consortium centred on the University of Bonn and the AGLINK-COSIMO model, a joint product of the OECD and the FAO, are well known and accepted as comprehensive tools. This analysis focuses on a qualitative comparison of both models and particularly on the process of setting up the baseline. The baseline is a medium-term projection of agricultural markets reflecting current policies and those already decided upon. This projection in turn serves as the base for comparisons when analyzing scenarios. It is shown that CAPRI uses generic and automatic procedures whenever possible for conducting the database and the baseline, while AGLINK-COSIMO puts more emphasis on expert knowledge in this process. Both approaches are shown to have certain advantages while the conclusion that a combination of them would potentially improve both models will be drawn from this analysis.

Suggested Citation

  • Adenauer, Marcel, 2008. "CAPRI versus AGLINK-COSIMO: Two partial equilibrium models - Two baseline approaches," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44120, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae08:44120
    DOI: 10.22004/ag.econ.44120
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    References listed on IDEAS

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    1. Weissleder, Lucie M. & Adenauer, Marcel & Heckelei, Thomas, 2008. "Impact assessment of trade liberalisation between EU and Mercosur countries," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6667, European Association of Agricultural Economists.
    2. Heckelei, Thomas & Mittelhammer, Ronald C. & Jansson, Torbjorn, 2008. "A Bayesian Alternative To Generalized Cross Entropy Solutions For Underdetermined Econometric Models," Discussion Papers 56973, University of Bonn, Institute for Food and Resource Economics.
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    Cited by:

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    2. Vitezslav Pisa & Jan Bruha & Vitezslav Pisa, 2011. "Dynamics of the Commodity Prices and Quantities: An Analysis using a Dynamic Multiregional CGE Model," EcoMod2011 2889, EcoMod.
    3. Thierry Brunelle & Patrice Dumas, 2012. "Can Numerical Models Estimate Indirect Land-use Change?," Working Papers 2012.65, Fondazione Eni Enrico Mattei.
    4. Baer-Nawrocka, Agnieszka & Kiryluk-Dryjska, Ewa, 2010. "Wpływ Likwidacji Kwot Mlecznych Na Sytuację Produkcyjną I Ekonomiczną Producentów Mleka W Unii Europejskiej (Wyniki Symulacji Modelowych)," Village and Agriculture (Wieś i Rolnictwo), Polish Academy of Sciences (IRWiR PAN), Institute of Rural and Agricultural Development, vol. 3(148).
    5. Ewa Kiryluk-Dryjska & Agnieszka Baer-Nawrocka, 2021. "Regional Differences in Benefits from the EU Common Agricultural Policy in Poland and Their Policy Implications," Agriculture, MDPI, vol. 11(4), pages 1-14, March.
    6. Philippidis, George & Waschik, Robert, 2016. "Removal of EU Milk Quotas Using a CGE Model with Imperfect Competition and Heterogeneous Firms," Conference papers 332682, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

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