R Meets GEMPACK for a Monte Carlo Walk

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Published: Dec 31, 2017
DOI: https://doi.org/10.21642/JGEA.020204AF
Keywords:
Monte Carlo, Systematic Sensitivity Analysis, Gaussian Quadratures, GEMPACK, R, Agricultural Technology.

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Nelson B. Villoria
Kansas State University

Abstract

This paper discusses two R functions for reading the output of GEMPACK-based CGE models into R. We highlight the potential of coupling GEMPACK and R by conducting systematic sensitivity analysis of model results using Monte Carlo experiments. We also show how R can enhance the analysis of CGE results by allowing for formal hypothesis testing of the effects of policies which outcome depends on stochastic shocks.

Article Details

How to Cite
Villoria, N. B. (2017). R Meets GEMPACK for a Monte Carlo Walk. Journal of Global Economic Analysis, 2(2), 128–154. https://doi.org/10.21642/JGEA.020204AF
Issue
Vol. 2 No. 2 (2017)
Section
Advances in Software

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