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
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.jgea.org/ojs/index.php/jgea/article/view/48/45 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gta:jnlgea:v:2:y:2017:i:2:p:128-154

DOI: 10.21642/JGEA.020204AF

Access Statistics for this article

More articles in Journal of Global Economic Analysis from Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University Contact information at EDIRC.
Bibliographic data for series maintained by Jeremy Douglas ().