IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v12y2012i3p375-392.html
   My bibliography  Save this article

Apportionment methods

Author

Listed:
  • Ulrich Kohler

    (Wissenschaftszentrum Berlin)

  • Janina Zeh

    (Universitat Leipzig)

Abstract

Apportionment methods are used to translate a set of positive natural numbers into a set of smaller natural numbers while keeping the proportions between the numbers very similar. The methods are used to allocate seats in a chamber proportionally to the number of votes for a party in an election or proportionally to regional populations. In this article, we describe six apportionment methods and the user-written egen function apport(), which implements these methods. Copyright 2012 by StataCorp LP.

Suggested Citation

  • Ulrich Kohler & Janina Zeh, 2012. "Apportionment methods," Stata Journal, StataCorp LP, vol. 12(3), pages 375-392, September.
  • Handle: RePEc:tsj:stataj:v:12:y:2012:i:3:p:375-392
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj12-3/st0265/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0265
    File Function: link to article purchase
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Udo Schwingenschlögl & Friedrich Pukelsheim, 2006. "Seat Biases in Proportional Representation Systems with Thresholds," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 27(1), pages 189-193, August.
    2. Friedrich Pukelsheim & Albert W. Marshall & Ingram Olkin, 2002. "A majorization comparison of apportionment methods in proportional representation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 19(4), pages 885-900.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Udo Schwingenschlögl, 2008. "Asymptotic Equivalence of Seat Bias Models," Statistical Papers, Springer, vol. 49(2), pages 191-200, April.
    2. Laszlo A. Koczy & Peter Biro & Balazs Sziklai, 2017. "US vs. European Apportionment Practices: The Conflict between Monotonicity and Proportionality," CERS-IE WORKING PAPERS 1716, Institute of Economics, Centre for Economic and Regional Studies.
    3. Grimmett, G.R. & Oelbermann, K.-F. & Pukelsheim, F., 2012. "A power-weighted variant of the EU27 Cambridge Compromise," Mathematical Social Sciences, Elsevier, vol. 63(2), pages 136-140.
    4. Laszlo A. Koczy & Balazs Sziklai, 2018. "Bounds on Malapportionment," CERS-IE WORKING PAPERS 1801, Institute of Economics, Centre for Economic and Regional Studies.
    5. Schwingenschlögl, Udo, 2007. "Probabilities of majority and minority violation in proportional representation," Statistics & Probability Letters, Elsevier, vol. 77(17), pages 1690-1695, November.
    6. Bittó, Virág, 2017. "Az Imperiali és Macau politikai választókörzet-kiosztási módszerek empirikus vizsgálata [Empirical Analysis of the Imperiali and Macau Apportionment Methods]," MPRA Paper 79554, University Library of Munich, Germany.
    7. Steven J Brams & D Marc Kilgour, 2012. "Narrowing the field in elections: The Next-Two rule," Journal of Theoretical Politics, , vol. 24(4), pages 507-525, October.
    8. Brams,S.L. & Kaplan,T.R., 2002. "Dividing the indivisible : procedures for allocating cabinet ministries to political parties in a parliamentary system," Center for Mathematical Economics Working Papers 340, Center for Mathematical Economics, Bielefeld University.
    9. Luc Lauwers & Tom Van Puyenbroeck, 2006. "The Hamilton Apportionment Method Is Between the Adams Method and the Jefferson Method," Mathematics of Operations Research, INFORMS, vol. 31(2), pages 390-397, May.
    10. Niemeyer, Horst F. & Niemeyer, Alice C., 2008. "Apportionment methods," Mathematical Social Sciences, Elsevier, vol. 56(2), pages 240-253, September.
    11. Balázs R Sziklai & Károly Héberger, 2020. "Apportionment and districting by Sum of Ranking Differences," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-20, March.
    12. Heinrich Lothar & Pukelsheim Friedrich & Schwingenschlögl Udo, 2004. "Sainte-Laguë’s chi-square divergence for the rounding of probabilities and its convergence to a stable law," Statistics & Risk Modeling, De Gruyter, vol. 22(1), pages 43-60, January.
    13. Tom Van Puyenbroeck, 2008. "Proportional Representation, Gini Coefficients, and the Principle of Transfers," Journal of Theoretical Politics, , vol. 20(4), pages 498-526, October.
    14. Paul Edelman, 2015. "Voting power apportionments," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 44(4), pages 911-925, April.
    15. Heinrich Lothar & Pukelsheim Friedrich & Schwingenschlögl Udo, 2005. "On stationary multiplier methods for the rounding of probabilities and the limiting law of the Sainte-Laguë divergence," Statistics & Risk Modeling, De Gruyter, vol. 23(2), pages 117-129, February.
    16. Jones, Michael A. & Wilson, Jennifer M., 2010. "Evaluation of thresholds for power mean-based and other divisor methods of apportionment," Mathematical Social Sciences, Elsevier, vol. 59(3), pages 343-348, May.
    17. de Mouzon, Olivier & Laurent, Thibault & Le Breton, Michel, 2020. "One Man, One Vote Part 2: Measurement of Malapportionment and Disproportionality and the Lorenz Curve," TSE Working Papers 20-1089, Toulouse School of Economics (TSE).
    18. Jarosław Flis & Wojciech Słomczyński & Dariusz Stolicki, 2020. "Pot and ladle: a formula for estimating the distribution of seats under the Jefferson–D’Hondt method," Public Choice, Springer, vol. 182(1), pages 201-227, January.
    19. Katarzyna Cegiełka & Janusz Łyko & Radosław Rudek, 2019. "Beyond the Cambridge Compromise algorithm towards degressively proportional allocations," Operational Research, Springer, vol. 19(2), pages 317-332, June.
    20. José Gutiérrez, 2015. "Majorization comparison of closed list electoral systems through a matrix theorem," Annals of Operations Research, Springer, vol. 235(1), pages 807-814, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:12:y:2012:i:3:p:375-392. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.