Registro completo |
Provedor de dados: |
AgEcon
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País: |
United States
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Título: |
The sampling bias in multi-agent simulation models
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Autores: |
Buysse, Jeroen
Frija, Aymen
Van der Straeten, Bart
Nolte, Stephan
Lauwers, Ludwig H.
Claeys, Dakerlia
Van Huylenbroeck, Guido
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Data: |
2011-02-02
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Ano: |
2011
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Palavras-chave: |
MAS
Bias
Correction
Resampling
Agricultural and Food Policy
Q12
Q18
Q51
Q52
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Resumo: |
For 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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Tipo: |
Conference Paper or Presentation
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Idioma: |
Inglês
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Identificador: |
http://purl.umn.edu/99599
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Relação: |
European Association of Agricultural Economists>122nd Seminar, February 17-18, 2011, Ancona, Italy
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Formato: |
13
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