Pathways to Truth: Comparing Different Upscaling Options for an Agent-Based Sector Model
Authored by Gabriele Mack, Albert Zimmermann, Anke Moehring, Ali Ferjani, Stefan Mann
Date Published: 2015
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Abstract
Simulation results can be highly sensitive to the way agents are
upscaled to a larger organizational and spatial level. This paper tests
an ex-post validation method for forecasting models by using old base
years and forecasting into recent years for which observed data is
already available. Our case in point is a comparison between different
upscaling methods in the agent-based agricultural sector model
SWISSland. It is shown that individual-farm extrapolation factors
strongly enhance alignment with the total population in the base year.
However, they may cause inconsistencies in those agent-based models in
which relations between the farms are an important part. Therefore, an
adjustment of the sample by making almost no use of some farms whilst
making highly disproportionate use of others turned out to be the most
suitable method for the SWISSland model.
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Simulation
systems
Decisions
Structural-change
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