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Meta‐analysis of general and partial equilibrium simulations of Doha Round outcomes

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  • Sebastian Hess
  • Stephan Von Cramon‐Taubadel

Abstract

Quantification of welfare changes due to trade liberalization plays a crucial role for political decision making. However, significant differences in simulated gains from liberalization do not serve to increase confidence in quantitative assessments based on trade models. A meta‐analysis of trade simulations under the WTO Doha Round is employed to identify model characteristics that influence the magnitude of simulation results. Findings from a simple regression model are plausible and show that each simulation experiment represents a complex interaction of model characteristics and experimental settings that may not easily be communicated to nonexperts. Meta‐analysis proves to be useful for empirically assessing this complexity.

Suggested Citation

  • Sebastian Hess & Stephan Von Cramon‐Taubadel, 2007. "Meta‐analysis of general and partial equilibrium simulations of Doha Round outcomes," Agricultural Economics, International Association of Agricultural Economists, vol. 37(s1), pages 281-286, December.
    • Handle: RePEc:bla:agecon:v:37:y:2007:i:s1:p:281-286
    DOI: 10.1111/j.1574-0862.2007.00252.x
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    Cited by:

    1. David Guerreiro, 2010. "Une méta-analyse de l'impact des subventions sur le prix mondial du coton," Economie & Prévision, La Documentation Française, vol. 0(4), pages 111-125.
    2. David Guerreiro, 2009. "Une méta-analyse de l’impact des subventions sur le prix mondial du coton," Working Papers hal-04140843, HAL.
    3. Brockmeier, Martina & Bektasoglu, Beyhan, 2014. "Model structure or data aggregation level: Which leads to greater bias of results?," Economic Modelling, Elsevier, vol. 38(C), pages 238-245.
    4. Hess, Sebastian & von Cramon-Taubadel, Stephan, 2008. "Agricultural Trade Policy Modelling: Insights from a Meta-Analysis of Doha Development Agenda Outcomes," Commissioned Papers 43466, Canadian Agricultural Trade Policy Research Network.
    5. Permani Risti, 2011. "The Impacts of Trade Liberalisation and Technological Change on GDP Growth in Indonesia: A Meta Regression Analysis," Global Economy Journal, De Gruyter, vol. 11(4), pages 1-30, December.
    6. Bakucs, Lajos Zoltan & Falkowski, Jan & Ferto, Imre, 2012. "What causes asymmetric price transmission in agro-food sector? Meta-analysis perspective," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134765, Agricultural Economics Society.
    7. Pelikan, J. & Brockmeier, M., 2009. "Wohlfahrtswirkungen einer Handelsliberalisierung: Welchen Einfluss hat die Zollaggregation auf die Modellergebnisse?," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 44, March.

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    More about this item

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • F10 - International Economics - - Trade - - - General

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