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Quasi-random Monte Carlo application in CGE systematic sensitivity analysis

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  • Theodoros Chatzivasileiadis

Abstract

The uncertainty and robustness of Computable General Equilibrium models can be assessed by conducting a Systematic Sensitivity Analysis. Different methods have been used in the literature for SSA of CGE models such as Gaussian Quadrature and Monte Carlo methods. This paper explores the use of Quasi-random Monte Carlo methods based on the Halton and Sobol' sequences as means to improve the efficiency over regular Monte Carlo SSA, thus reducing the computational requirements of the SSA. The findings suggest that by using low-discrepancy sequences, the number of simulations required by the regular MC SSA methods can be notably reduced, hence lowering the computational time required for SSA of CGE models.

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  • Theodoros Chatzivasileiadis, 2017. "Quasi-random Monte Carlo application in CGE systematic sensitivity analysis," Papers 1709.09755, arXiv.org.
    • Handle: RePEc:arx:papers:1709.09755
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    References listed on IDEAS

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    1. T. Chatzivasileiadis & F. Estrada & M. W. Hofkes & R. S. J. Tol, 2019. "Systematic Sensitivity Analysis of the Full Economic Impacts of Sea Level Rise," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1183-1217, March.
    2. Theodoros N. Chatzivasileiadis & Marjan W. Hofkes & Onno J. Kuik & Richard S.J. Tol, 2016. "Full economic impacts of sea level rise: loss of productive resources and transport disruptions," Working Paper Series 09916, Department of Economics, University of Sussex Business School.
    3. Nelson B Villoria & Paul V Preckel, 2017. "Gaussian Quadratures vs. Monte Carlo Experiments for Systematic Sensitivity Analysis of Computable General Equilibrium Model Results," Economics Bulletin, AccessEcon, vol. 37(1), pages 480-487.
    4. Jank, Wolfgang, 2005. "Quasi-Monte Carlo sampling to improve the efficiency of Monte Carlo EM," Computational Statistics & Data Analysis, Elsevier, vol. 48(4), pages 685-701, April.
    5. Theodoros N. Chatzivasileiadis & Marjan W. Hofkes & Onno J. Kuik & Richard S.J. Tol, 2016. "Full economic impacts of sea level rise: loss of productive resources and transport disruptions," Working Paper Series 9916, Department of Economics, University of Sussex.
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