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.

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