R Meets GEMPACK for a Monte Carlo Walk
Nelson Villoria ()
Journal of Global Economic Analysis, 2017, vol. 2, issue 2, 128-154
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)
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Persistent link: https://EconPapers.repec.org/RePEc:gta:jnlgea:v:2:y:2017:i:2:p:128-154
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