Implications of Broader Gaussian Quadrature Sampling Strategy in the Contest of the Special Safeguard Mechanism

Paul V. Preckel, Monika Verma, Thomas Hertel and Will Martin

No 332127, Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project

Abstract: This paper explores the sensitivity of model statistics to breadth of sampling used under the Sensitivity Analysis – a method very often used for General Equilibrium models and an inbuilt tool in General Equilibrium Modeling Package (GEMPACK). We force the Stroud and Liu Gaussian Quadratures available in Systematic Sensitivity Analysis (SSA) in GEMPACK to sample from beyond their usual √2ߪ and 1ߪ limits. The breadth of sampling domain could be an important aspect for models that are highly non-linear and where results depend on thresholds and regime switches. In the Special Safeguards (SSM) example used here, we find that the broader sampling technique gives us very different results for second tier tariffs on wheat imports.

Keywords: Research Methods/Statistical Methods; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Pages: 20
Date: 2011
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ags:pugtwp:332127

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