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On the impact of US subsidies on world cotton prices: a meta-analysis approach

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  • David Guerreiro

Abstract

Despite the vast literature dealing with the impact of the subsidies on world cotton prices, there is no consensus regarding the quantification of these effects. The aim of this paper is to contribute to this literature through the implementation of a meta-regression analysis. This methodology allows us to: (i) identify the main sources of heterogeneity between the primary studies, (ii) give some tracks to improve the modeling, (iii) provide a reliable quantification of the removal of subsidies on world cotton prices. Relying on the estimation of various models to derive robust results, our findings show that a withdrawal of US subsidies would increase the world cotton price by around 10%.

Suggested Citation

  • David Guerreiro, 2010. "On the impact of US subsidies on world cotton prices: a meta-analysis approach," EconomiX Working Papers 2010-26, University of Paris Nanterre, EconomiX.
    • Handle: RePEc:drm:wpaper:2010-26
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    1. Froot, Kenneth A., 1989. "Consistent Covariance Matrix Estimation with Cross-Sectional Dependence and Heteroskedasticity in Financial Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(3), pages 333-355, September.
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    2. Wang, W. & Wei, L., 2018. "China s Agricultural Price Control Policy and its Price and Welfare Implications: The Case of Soybean," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277342, International Association of Agricultural Economists.

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    JEL classification:

    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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