The sampling bias in multi-agent simulation models
AbstractFor practical considerations, it is in some case impossible to simulate MAS models at population level. The current paper shows that MAS models applied to samples with heterogeneous costs of interactions between agents have biased results. Heterogeneous costs of interactions in MAS models can come from the spatial dimension in MAS models or from fixed costs per interaction. The paper presents two correction procedures to remove the sampling bias and to increase the reliability of the outcome. The correction procedures can be very promising for future applications of MAS models because it becomes possible to deploy more complex models without bias on more detailed datasets that are only available at sample level, which will be the case for country- or EU-wide MAS applications.
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Bibliographic InfoPaper provided by European Association of Agricultural Economists in its series 122nd Seminar, February 17-18, 2011, Ancona, Italy with number 99599.
Date of creation: 10 Feb 2011
Date of revision:
MAS; bias; correction; resampling; Agricultural and Food Policy; Q12; Q18; Q51; Q52;
Find related papers by JEL classification:
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
- Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
- Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
- Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Costs; Distributional Effects; Employment Effects
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- Mohring, Anke & Zimmermann, Albert & Mack, Gabriele & Mann, Stefan & Ferjani, Ali & Gennaio, Maria-Pia, 2010. "Modelling structural change in the agricultural sector – An Agent-based approach using FADN data from individual farms," 114th Seminar, April 15-16, 2010, Berlin, Germany 61094, European Association of Agricultural Economists.
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