GTAP Resources: Resource Display
| GTAP Resource #3111 |
|---|
|
"Correlated Order Three Gaussian Quadratures in Stochastic Simulation Modelling" by Artavia, Marco, Harald Grethe, Thordis Moeller and Georg Zimmermann Abstract A simple approach to generate correlated order three Gaussian quadratures is presented. It is shown how for stochastic simulation modelling purposes the integration over the n-cube as suggested in Stroud (1957) is not necessary and thus, a simpler integration formula is given. The theory of inducing a desired covariance matrix is presented and three possibilities to do so are demonstrated. The approach described is implemented in a stochastic version of the European Simulation Model (ESIM) which includes 42 correlated stochastic terms in the yield functions. Model results are presented to validate the proposed approach compared to a Monte Carlo based approach as well as to demonstrate the relevance of stochastic simulation modelling. |
| Resource Details (Export Citation) | GTAP Keywords | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
- Software and modeling tools - Calibration and parameter estimation - European Union |
| Attachments |
|---|
|
If you have trouble accessing any of the attachments below due to disability, please contact the authors listed above.
Public Access  2009 Conference Paper (223.8 KB) Replicated: 0 time(s)Restricted Access No documents have been attached. Special Instructions No instructions have been specified. |
| Comments (0 posted) |
|---|
|
You must log in before entering comments.
No comments have been posted. |
Last Modified: 9/15/2023 2:05:45 PM
