Properties of the Apportionment Methods Used in the Primaries

Michael A. Jones (), David McCune () and Jennifer M. Wilson ()
Additional contact information
Michael A. Jones: American Mathematical Society
David McCune: William Jewell College
Jennifer M. Wilson: Eugene Lang College, The New School

Chapter Chapter 5 in Delegate Apportionment in the US Presidential Primaries, 2023, pp 77-126 from Springer

Abstract: Abstract The seven delegate apportionment methods used in the presidential primaries are analyzed and compared, according to whether they satisfy basic properties such as homogeneity and proportionality. We consider how often the delegateDelegate apportionment methods satisfy the quota conditionQuota condition and quantify their degree of bias for and against the strongest and weakest candidates by analyzing delegateDelegate bias, delegate thresholdsDelegate threshold, and the behavior of the methods in close electionsClose election. These ideas are then related to the sensitivitySensitivity of the apportionment methods to small changes of the vote totals. We also determine which methods satisfy majority and leader criteria, and discuss the methods’ propensity to support candidate coalitionsCandidate coalitions. We conclude by comparing overall vote shareVote share to seat share for the strongest candidates in recent state primaries.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:stcchp:978-3-031-24954-9_5

Ordering information: This item can be ordered from
http://www.springer.com/9783031249549

DOI: 10.1007/978-3-031-24954-9_5

Access Statistics for this chapter

More chapters in Studies in Choice and Welfare from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().