ID:
publications-4398
Type:
article
Year:
2005
Authors:
Moss, Scott and Moss, Scott and Edmonds, Bruce and Edmonds, Bruce
Title:
Sociology and simulation : Statistical and qualitative cross-validation
Venue/Journal:
American Journal of Sociology
DOI:
10.1086/427320
Research type:
Water System:
Technical Focus:
Abstract:
AgentĪ²ā¬Ābased simulation modeling enables the construction of formal models that simultaneously can be microvalidated against accounts of individual behavior and macrovalidated against aggregate data that show the characteristics of many socially derived time series. These characteristics (leptokurtosis and clustered volatility) have two important consequences: first, they also appear in suitably structured agentĪ²ā¬Ābased models where, like real social actors, agents are socially embedded and metastable; second, their presence precludes the use of many standard statistical techniques like the chiĪ²ā¬Āsquare test. These characteristics in timeĪ²ā¬Āseries data indicate that a suitable agentĪ²ā¬Ābased model rather than a standard statistical model will be appropriate. This is illustrated with an agentĪ²ā¬Ābased model of mutual social influence on domestic water demand. The consequences for many frequently used statistical techniques are discussed.
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