Sensitivity Analysis of an Agent-Based Model of Culture's Consequences for Trade

S.L.G.E. Burgers, C.M. Jonker, G.J. Hofstede, D. Verwaart

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

11 Citations (Scopus)

Abstract

This paper describes the analysis of an agent-based model’s sensitivity to changes in parameters that describe the agents’ cultural background, relational parameters, and parameters of the decision functions. As agent-based models may be very sensitive to small changes in parameter values, it is of the essence to know for which changes the model is most sensitive. A long-standing metamodeling-based approach of sensitivity analysis is applied to the agent-based model. The analysis is differentiated for homogeneous and heterogeneous agent populations. Intrinsic stochastic effects of the agent-based model are taken into account. The paper describes how an appropriate regression model has been selected and analyses the parameter’s variance contributions in general and in specific cultural settings
Original languageEnglish
Title of host publicationProgress in Artificial Economics: Computational and Agent-Based Models
EditorsM. Li Calzi, L. Milone, P. Pellizzari
Place of PublicationHeidelberg
Pages253-265
DOIs
Publication statusPublished - 2010

Publication series

NameLecture Notes in Economics and Mathematical Systems
PublisherSpringer
Number645

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