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R Meets GEMPACK for a Monte Carlo Walk

Nelson Villoria ()

Journal of Global Economic Analysis, 2017, vol. 2, issue 2, 128-154

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.

Keywords: Monte Carlo; Systematic Sensitivity Analysis; Gaussian Quadratures; GEMPACK; R; Agricultural Technology. (search for similar items in EconPapers)
Date: 2017
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DOI: 10.21642/JGEA.020204AF

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Handle: RePEc:gta:jnlgea:v:2:y:2017:i:2:p:128-154