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

In: Progress in Artificial Economics

Author

Listed:
  • Saskia L. G. E. Burgers

    (Biometris Wageningen UR)

  • Gert Jan Hofstede

    (Wageningen University)

  • Catholijn M. Jonker

    (Delft University of Technology)

  • Tim Verwaart

    (LEI Wageningen UR)

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.

Suggested Citation

  • Saskia L. G. E. Burgers & Gert Jan Hofstede & Catholijn M. Jonker & Tim Verwaart, 2010. "Sensitivity Analysis of an Agent-Based Model of Culture’s Consequences for Trade," Lecture Notes in Economics and Mathematical Systems, in: Marco Li Calzi & Lucia Milone & Paolo Pellizzari (ed.), Progress in Artificial Economics, pages 253-264, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-13947-5_21
    DOI: 10.1007/978-3-642-13947-5_21
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    Cited by:

    1. Rouger, Baptiste & Goldringer, Isabelle & Barbillon, Pierre & Miramon, Anne & Naino Jika, Abdel Kader & Thomas, Mathieu, 2023. "Sensitivity analysis of a crop metapopulation model," Ecological Modelling, Elsevier, vol. 475(C).
    2. Dan Yan & Saskia E. Werners & He Qing Huang & Fulco Ludwig, 2016. "Identifying and Assessing Robust Water Allocation Plans for Deltas Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5421-5435, November.

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