Midlands State University Library

Measuring the Compactness of Political Districting Plans (Record no. 164154)

MARC details
000 -LEADER
fixed length control field 01990nam a22002657a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240306133553.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240306b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Language of cataloging English
Transcribing agency MSU
Description conventions rda
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number HB73 JOU
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Fryer, Roland G.
Relator term author
245 #0 - TITLE STATEMENT
Title Measuring the Compactness of Political Districting Plans
Statement of responsibility, etc. by Roland G. Fryer and Richard Holden
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Chicago:
Name of producer, publisher, distributor, manufacturer University of Chicago Press;
Date of production, publication, distribution, manufacture, or copyright notice 2011.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title The Journal of Law and Economics
Volume/sequential designation Volume 54, number 3
520 ## - SUMMARY, ETC.
Summary, etc. We develop a measure of compactness based on the distance between voters within the same district relative to the minimum distance achievable, which we coin the relative proximity index. Any compactness measure that satisfies three desirable properties (anonymity of voters, efficient clustering, and invariance to scale, population density, and number of districts) ranks districting plans identically to our index. We then calculate the relative proximity index for the 106th Congress, which requires us to solve for each state’s maximal compactness—a problem that is nondeterministic polynomial-time hard (NP hard). The correlations between our index and the commonly used measures of dispersion and perimeter are −.37 and −.29, respectively. We conclude by estimating seat-vote curves under maximally compact districts for several large states. The fraction of additional seats a party obtains when its average vote increases is significantly greater under maximally compact districting plans relative to the existing plans
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithms
Form subdivision Centroids
General subdivision Congressional districts
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Electoral districts
Form subdivision Incumbents
General subdivision Population density
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Topological compactness
Form subdivision Voting
General subdivision Voting precincts
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Holden, Richard
Relator term co author
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1086/661511
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 03/09/2012 Vol. 54, no.3 (pages 493-536)   HB73 JOU 06/03/2024 SP12292 06/03/2024 Journal Article For In House Use Only