A taxonomy of inference in simulation models

被引：28

作者：

Brenner T. ^{[1
]}

Werker C. ^{[1
]}

机构：

[1] Max Planck Institute of Economics, Jena

来源：

Computational Economics | 2007年 / 30卷 / 3期

关键词：

Empirical data; Methodology; Simulation models; Theory;

D O I：

10.1007/s10614-007-9102-6

中图分类号：

学科分类号：

摘要：

Simulation models have become increasingly popular in economics in the last two decades, because they can deal with a wide range of research questions. The set-up and analysis of simulation models can range from very specific to very general and can be underpinned by different combinations of theoretical considerations and empirical data. We offer a taxonomy of existing simulation approaches and show how their results can be used to explain observed economic features, examine economic systems and predict future economic processes. Moreover, we offer a new type of method that helps to better exploit empirical findings in simulation models. © Springer Science+Business Media, LLC 2007.

引用

页码：227 / 244

页数：17

共 34 条

[31]

Werker C., Brenner T., Empirical Calibration of Simulation Models, (2004)

[32]

Windrum P., Birchenhall C., Is life cycle theory a special case? Dominant designs and the emergence of market niches through co-evolutionary learning, Structural Change and Economic Dynamics, 9, pp. 109-134, (1998)

[33]

Winter S.G., Kaniovski Y.M., Dosi G., A baseline model of industry evolution, Journal of Evolutionary Economics, 13, pp. 355-383, (2003)

[34]

Zellner A., An Introduction to Bayesian Inference in Econometrics, (1971)

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