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arxiv: 1706.09534 · v1 · pith:SZMJ4RGWnew · submitted 2017-06-29 · 💻 cs.GT · physics.soc-ph

Multi-district preference modelling

classification 💻 cs.GT physics.soc-ph
keywords electoraldistrictsystemsdetaildistributionsdistrictspreferenceanalysis
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Generating realistic artificial preference distributions is an important part of any simulation analysis of electoral systems. While this has been discussed in some detail in the context of a single electoral district, many electoral systems of interest are based on multiple districts. Neither treating preferences between districts as independent nor ignoring the district structure yields satisfactory results. We present a model based on an extension of the classic Eggenberger-P\'olya urn, in which each district is represented by an urn and there is correlation between urns. We show in detail that this procedure has a small number of tunable parameters, is computationally efficient, and produces "realistic-looking" distributions. We intend to use it in further studies of electoral systems.

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