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Bi-proportional Apportionments

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Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 11890))

Abstract

An apportionment method is proposed that generalises Hamilton’s method for matrices, optimising proportionality in both directions, both for rows and columns. The resulting matrix respects fixed totals for rows and columns even when such totals do not satisfy standard criteria (monotonicity, maximum or minimum Hare), for example following the allocation of majority prizes to parties or coalitions.

Optionally, if required, the result can also respect the minimum Hare quotae for rows and columns. The algorithm may easily be expressed on the basis of rules.

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Notes

  1. 1.

    From Gambarelli and Palestini [3].

  2. 2.

    For more information about calculation methods used for these elections, please refer to the law in force at the time of the elections [11].

  3. 3.

    Hare 5.13 obtained by dividing the 388,046 district votes by the 7,332,134 national votes and multiplying by 97 total seats to be assigned to the party at a national level.

  4. 4.

    Hare 8.18 obtained by dividing the 658,475 district votes by the 8,691,406 national votes and multiplying by 108 total seats to be assigned to the party at a national level.

  5. 5.

    Hare 6.62 obtained by dividing the 532,699 district votes by the 8,691,406 national votes and multiplying by 108 total seats to be assigned to the party at a national level.

References

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  3. Gambarelli, G., Palestini, A.: Minimax multi-district apportionments. Homo Oecon. 24(3/4), 335–356 (2007)

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Acknowledgments

This paper is under the patronage of MIUR. The authors wish to thank Luciano Violante for his valuable comments on a previous version of this paper, and Angelo Uristani for useful discussions on a local level seat assignation method.

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Correspondence to Mirko Bezzi .

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Appendices

Appendix A: Legislation

A draft legislative rule, referring to the case of the minimum Hare quotae, could be the following:

  • Table of the row Hare quotae is determined, each element of which is the product of the votes obtained by that party in that district for the total seats in that district, divided by the total votes in that district;

  • Table of column Hare quotae is determined, each element of which is the product of the votes obtained by that party in that district for the total seats of that party, divided by the total votes in that party;

  • An assigned seats matrix is prepared, initially assigning the minimum value truncated, between the row Hare and the column Hare for each position;

  • The reference matrix is then prepared, assigning the maximum value between the row Hare and the column Hare for each position;

  • At each step, the method assigns a seat to the position in which there is the greatest difference between the “reference matrix” element and the “assigned seats matrix” element. The assigned seat is updated in the “assigned seats matrix”;

  • The method checks the residual availability of seats that may be assigned to each party only for those seats for which a given party is represented and when residual availability is equal to the remaining number of seats to be assigned to the given party at a national level;

  • The system continues in the assignment loop until all the seats have been allocated.

Appendix B: Automatic Calculation Software

The latest version of the bi-proportional apportionment software described in this paper is available at the following web address:

http://dinamico2.unibg.it/dmsia/staff/gampubl.html#software.

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Bezzi, M., Gambarelli, G., Zibetti, G.A. (2019). Bi-proportional Apportionments. In: Nguyen, N., Kowalczyk, R., Mercik, J., Motylska-Kuźma, A. (eds) Transactions on Computational Collective Intelligence XXXIV. Lecture Notes in Computer Science(), vol 11890. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-60555-4_10

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  • DOI: https://doi.org/10.1007/978-3-662-60555-4_10

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