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GTAP Resource #6981

"Latin Hypercube Sampling for Sensitivity Analysis"
by van der Mensbrugghe, Dominique

This paper describes the use of a utility that creates a Latin Hypercube Sample (LHS). The LHS approach to sampling has had wide applicability as it represents a Monte Carlo strategy that limits sample size and therefore computer time to study the outcomes of simulations under uncertainty. The utility is a new version of the LHS utility that has been publicly available from Sandia National Labs since the early 2000s. Beyond the recoding from FORTRAN to C/C++, the new version of the utility has some additional features including new output options and additional statistical distributions. This paper demonstrates the use of the new utility by coupling it to an integrated assessment (IAM) model which is derived from the Meta21 model developed by (Dietz et al., 2021). The Meta21 model, beyond demonstrating the LHS approach to taking into account uncertainty, also has many components that can be readily integrated into global economic models that track greenhouse gas emissions—a simple climate module, economic impacts derived from sea-level and temperature rises and bio-physical tipping points such as the Amazon dieback.

Resource Details (Export Citation) GTAP Keywords
Category: 2023 Conference Paper
Status: Not published
By/In: Presented during the 26th Annual Conference on Global Economic Analysis (Bordeaux, France)
Date: 2023
Version: 1
Created: van der Mensbrugghe, D. (4/15/2023)
Updated: van der Mensbrugghe, D. (4/15/2023)
Visits: 360
- Advances in quantitative methods
- Software and modeling tools
- Climate impacts

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