000K  utf8
1100  $c2021
1500  eng
2050  urn:nbn:de:gbv:8:3-2021-00254-5
3000  Jin, Ding
4000  Metamodeling$da useful tool for applying innovative simulation techniques in agricultural economics  [Jin, Ding]
4209  Computational simulation models are widely used in the field of agricultural economics for a variety of tasks, particularly for evidence-based policy analysis. Despite the substantial and continuing growth of computing power and speed, the growing complexity together with the implicit nature of the simulation models, on the one hand, still lead to high computational costs in applying the models along with great difficulties in the parameter specification where data availability and parametrization constraints for empirical calibration problems are notably challenging. On the other hand, they also limit the use of simulation models in many other aspects such as integration into other research frameworks like policy optimization coupled with uncertainty analysis. In this paper, we attempt to systematically and comprehensively introduce the metamodeling technique and investigate several metamodel types in terms of accuracy, computational time, variable importance, and potential practical applications.
4950  https://nbn-resolving.org/urn:nbn:de:gbv:8:3-2021-00254-5$xR$3Volltext$534
4961  https://macau.uni-kiel.de/receive/macau_mods_00001328
5051  330
5550  Computational simulation models
5550  DoE
5550  metamodeling
5550  policy analysis