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Simulations and agent-based modelling


  • Jacopo A. Baggio
  • Rodolfo Baggio


Agent-based modelling and numerical simulations are means that facilitate exploring the structural and dynamic characteristics of systems which may prove intractable with analytical methods. This contribution examines the issues related to them with a particular attention to their use in the study of social economic and ecological systems. Besides a general description, the possibilities, limitations and their relationship with other more traditional investigation methods are examined. Special focus is put on the assessment of their validation and reliability. Finally an application example is provided. A simple model is built to analyse the movements of tourists and the relationship between these and the attractiveness of a tourism destination. The results are discussed along with possible future developments.

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  • Jacopo A. Baggio & Rodolfo Baggio, 2009. "Simulations and agent-based modelling," Working Papers 021, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Universit√† Commerciale Luigi Bocconi.
  • Handle: RePEc:don:donwpa:021

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    1. Maddala, G S, 1971. "The Use of Variance Components Models in Pooling Cross Section and Time Series Data," Econometrica, Econometric Society, vol. 39(2), pages 341-358, March.
    2. Aassve, Arnstein & Arpino, Bruno, 2007. "Dynamic multi-level analysis of households' living standards and poverty: evidence from Vietnam," ISER Working Paper Series 2007-10, Institute for Social and Economic Research.
    3. Cora J. M. Maas & Joop J. Hox, 2004. "Robustness issues in multilevel regression analysis," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(2), pages 127-137.
    4. Ladd, Helen F. & Walsh, Randall P., 2002. "Implementing value-added measures of school effectiveness: getting the incentives right," Economics of Education Review, Elsevier, vol. 21(1), pages 1-17, February.
    5. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, December.
    6. Anders Skrondal & Sophia Rabe-Hesketh, 2007. "Latent Variable Modelling: A Survey," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(4), pages 712-745.
    7. George Leckie & Harvey Goldstein, 2009. "The limitations of using school league tables to inform school choice," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(4), pages 835-851.
    8. repec:spr:stmapp:v:13:y:2004:i:3:d:10.1007_s10260-004-0087-1 is not listed on IDEAS
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    agent-based models; simulations; complex systems; tourism destination;

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