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A new method for optimal proportional representation
Linköpings universitet, Matematiska institutionen, Optimeringslära. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0001-5907-0087
2019 (engelsk)Rapport (Annet vitenskapelig)
Abstract [en]

In a democratic proportional election system, it is vital that the mandates in the parliament are allocated as proportionally as possible to the number of votes the parties got in the election. We formulate an optimization model for allocation of seats in a parliament so as to minimize the disproportionality. By applying separable programming techniques, we obtain an easily solvable problem, and present a method for solving it optimally. The obtained solution is thus the feasible solution that has the minimal disproportionality (with the measure chosen), in contrast to the heuristic procedures used in many countries. We apply the approach to real life data from the last three elections in Sweden, and show that the result is better, i.e. more proportional, than what was obtained with the “adjusted odd number rule”, which is presently used. A natural suggestion would be to use our method instead.

We also consider the issue about constituencies, and suggest a procedure, based on the same kind of optimization problem, for allocating mandates in the constituencies, without changing the overall allocation with respect to parties. In our approach, the numbers of mandates for the constituencies are based on the number of votes given, not on estimated numbers of inhabitants. This removes the need for fixed and equalization mandates, and also makes the question about sizes of the constituencies less important.

sted, utgiver, år, opplag, sider
Linköping: Linköping University Electronic Press, 2019. , s. 20
Serie
LiTH-MAT-R, ISSN 0348-2960 ; 2019:1
Emneord [en]
Democracy, proportional representation, the adjusted odd number rule
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-154458ISRN: LiTH-MAT-R--2019/01--SEOAI: oai:DiVA.org:liu-154458DiVA, id: diva2:1288364
Tilgjengelig fra: 2019-02-13 Laget: 2019-02-13 Sist oppdatert: 2019-02-26bibliografisk kontrollert

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A new method for optimal proportional representation(208 kB)61 nedlastinger
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