Loading…
Legal, Political Science, and Economics Approaches to Measuring Malapportionment: The U.S. House, Senate, and Electoral College 1790–2010
Objective We compare and contrast methods for measuring malapportionment from different disciplines: law, political science, and economics. Methods With data from the U.S. House, Senate, and Electoral College (EC) over the period 1790–2010, we compare disproportionality measures and compare both acr...
Saved in:
Published in: | Social science quarterly 2020-10, Vol.101 (6), p.2238-2256 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c3341-60787357dca42b0b32a8ab2fb73ce72fdcfdbcfdb37d82590696fb13ec12bf353 |
---|---|
cites | cdi_FETCH-LOGICAL-c3341-60787357dca42b0b32a8ab2fb73ce72fdcfdbcfdb37d82590696fb13ec12bf353 |
container_end_page | 2256 |
container_issue | 6 |
container_start_page | 2238 |
container_title | Social science quarterly |
container_volume | 101 |
creator | Cervas, Jonathan Grofman, Bernard |
description | Objective
We compare and contrast methods for measuring malapportionment from different disciplines: law, political science, and economics.
Methods
With data from the U.S. House, Senate, and Electoral College (EC) over the period 1790–2010, we compare disproportionality measures and compare both across time and between institutions.
Results
We demonstrate that which approach to measurement we take can dramatically affect some of the conclusions we reach. However, we also demonstrate that the House and the EC are hardly malapportioned, regardless of which measure we use, while the level of malapportionment we observe in the Senate can depend on which measure we use.
Conclusion
Since there are many axiomatic properties we might wish to satisfy, no one measure is uniformly best with respect to all feasible desiderata. However, one measure, the minimum population needed to win a majority, offers a readily comparable measure across legislatures and jurisdictions, and is easy for nonspecialists to understand. |
doi_str_mv | 10.1111/ssqu.12871 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2455180418</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2455180418</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3341-60787357dca42b0b32a8ab2fb73ce72fdcfdbcfdb37d82590696fb13ec12bf353</originalsourceid><addsrcrecordid>eNp9kM1OwkAUhSdGExHd-ASTuDMU569McUcIiglETWHdTKe3UDJ0ykwbw869S9_QJ7GIbr3Jzd1895ycg9A1JX3azp33u6ZPWSTpCerQUJBgwLg8RR1CeBSIoaDn6ML7DSFEMBF10McMVsr08Is1RV1oZXCsCyg19LAqMzzRtrTbQns8qipnlV6Dx7XFc1C-cUW5wnNlVFVZVxe23EJZ3-PFGvCyH_fx1Da-1YmhVPWfngFdW9fajK0xsAJM5ZB8vX8yQsklOsuV8XD1e7to-TBZjKfB7PnxaTyaBZpzQYMBkZHkocy0EiwlKWcqUinLU8k1SJZnOs_Sw3KZRSwcksFwkKeUg6YszXnIu-jmqNsm2jXg62RjG1e2lgkTYUgjImjUUrdHSjvrvYM8qVyxVW6fUJIcyk4OZSc_ZbcwPcJvhYH9P2QSx6_L4883T9yCVQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2455180418</pqid></control><display><type>article</type><title>Legal, Political Science, and Economics Approaches to Measuring Malapportionment: The U.S. House, Senate, and Electoral College 1790–2010</title><source>EconLit s plnými texty</source><source>EBSCOhost Business Source Ultimate</source><source>International Bibliography of the Social Sciences (IBSS)</source><source>Wiley-Blackwell Read & Publish Collection</source><source>Worldwide Political Science Abstracts</source><source>Sociological Abstracts</source><creator>Cervas, Jonathan ; Grofman, Bernard</creator><creatorcontrib>Cervas, Jonathan ; Grofman, Bernard</creatorcontrib><description>Objective
We compare and contrast methods for measuring malapportionment from different disciplines: law, political science, and economics.
Methods
With data from the U.S. House, Senate, and Electoral College (EC) over the period 1790–2010, we compare disproportionality measures and compare both across time and between institutions.
Results
We demonstrate that which approach to measurement we take can dramatically affect some of the conclusions we reach. However, we also demonstrate that the House and the EC are hardly malapportioned, regardless of which measure we use, while the level of malapportionment we observe in the Senate can depend on which measure we use.
Conclusion
Since there are many axiomatic properties we might wish to satisfy, no one measure is uniformly best with respect to all feasible desiderata. However, one measure, the minimum population needed to win a majority, offers a readily comparable measure across legislatures and jurisdictions, and is easy for nonspecialists to understand.</description><identifier>ISSN: 0038-4941</identifier><identifier>EISSN: 1540-6237</identifier><identifier>DOI: 10.1111/ssqu.12871</identifier><language>eng</language><publisher>Oxford: Blackwell Publishing Ltd</publisher><subject>Apportionment ; Elections ; Electoral College ; Legislatures ; Measurement ; Political science ; Property</subject><ispartof>Social science quarterly, 2020-10, Vol.101 (6), p.2238-2256</ispartof><rights>2020 by the Southwestern Social Science Association</rights><rights>2020 Southwestern Social Science Association</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3341-60787357dca42b0b32a8ab2fb73ce72fdcfdbcfdb37d82590696fb13ec12bf353</citedby><cites>FETCH-LOGICAL-c3341-60787357dca42b0b32a8ab2fb73ce72fdcfdbcfdb37d82590696fb13ec12bf353</cites><orcidid>0000-0001-9686-6308 ; 0000-0002-2801-3351</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904,33202,33753</link.rule.ids></links><search><creatorcontrib>Cervas, Jonathan</creatorcontrib><creatorcontrib>Grofman, Bernard</creatorcontrib><title>Legal, Political Science, and Economics Approaches to Measuring Malapportionment: The U.S. House, Senate, and Electoral College 1790–2010</title><title>Social science quarterly</title><description>Objective
We compare and contrast methods for measuring malapportionment from different disciplines: law, political science, and economics.
Methods
With data from the U.S. House, Senate, and Electoral College (EC) over the period 1790–2010, we compare disproportionality measures and compare both across time and between institutions.
Results
We demonstrate that which approach to measurement we take can dramatically affect some of the conclusions we reach. However, we also demonstrate that the House and the EC are hardly malapportioned, regardless of which measure we use, while the level of malapportionment we observe in the Senate can depend on which measure we use.
Conclusion
Since there are many axiomatic properties we might wish to satisfy, no one measure is uniformly best with respect to all feasible desiderata. However, one measure, the minimum population needed to win a majority, offers a readily comparable measure across legislatures and jurisdictions, and is easy for nonspecialists to understand.</description><subject>Apportionment</subject><subject>Elections</subject><subject>Electoral College</subject><subject>Legislatures</subject><subject>Measurement</subject><subject>Political science</subject><subject>Property</subject><issn>0038-4941</issn><issn>1540-6237</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7UB</sourceid><sourceid>8BJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNp9kM1OwkAUhSdGExHd-ASTuDMU569McUcIiglETWHdTKe3UDJ0ykwbw869S9_QJ7GIbr3Jzd1895ycg9A1JX3azp33u6ZPWSTpCerQUJBgwLg8RR1CeBSIoaDn6ML7DSFEMBF10McMVsr08Is1RV1oZXCsCyg19LAqMzzRtrTbQns8qipnlV6Dx7XFc1C-cUW5wnNlVFVZVxe23EJZ3-PFGvCyH_fx1Da-1YmhVPWfngFdW9fajK0xsAJM5ZB8vX8yQsklOsuV8XD1e7to-TBZjKfB7PnxaTyaBZpzQYMBkZHkocy0EiwlKWcqUinLU8k1SJZnOs_Sw3KZRSwcksFwkKeUg6YszXnIu-jmqNsm2jXg62RjG1e2lgkTYUgjImjUUrdHSjvrvYM8qVyxVW6fUJIcyk4OZSc_ZbcwPcJvhYH9P2QSx6_L4883T9yCVQ</recordid><startdate>202010</startdate><enddate>202010</enddate><creator>Cervas, Jonathan</creator><creator>Grofman, Bernard</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7U4</scope><scope>7UB</scope><scope>8BJ</scope><scope>BHHNA</scope><scope>DWI</scope><scope>FQK</scope><scope>JBE</scope><scope>WZK</scope><orcidid>https://orcid.org/0000-0001-9686-6308</orcidid><orcidid>https://orcid.org/0000-0002-2801-3351</orcidid></search><sort><creationdate>202010</creationdate><title>Legal, Political Science, and Economics Approaches to Measuring Malapportionment: The U.S. House, Senate, and Electoral College 1790–2010</title><author>Cervas, Jonathan ; Grofman, Bernard</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3341-60787357dca42b0b32a8ab2fb73ce72fdcfdbcfdb37d82590696fb13ec12bf353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Apportionment</topic><topic>Elections</topic><topic>Electoral College</topic><topic>Legislatures</topic><topic>Measurement</topic><topic>Political science</topic><topic>Property</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cervas, Jonathan</creatorcontrib><creatorcontrib>Grofman, Bernard</creatorcontrib><collection>CrossRef</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Worldwide Political Science Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Social science quarterly</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cervas, Jonathan</au><au>Grofman, Bernard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Legal, Political Science, and Economics Approaches to Measuring Malapportionment: The U.S. House, Senate, and Electoral College 1790–2010</atitle><jtitle>Social science quarterly</jtitle><date>2020-10</date><risdate>2020</risdate><volume>101</volume><issue>6</issue><spage>2238</spage><epage>2256</epage><pages>2238-2256</pages><issn>0038-4941</issn><eissn>1540-6237</eissn><abstract>Objective
We compare and contrast methods for measuring malapportionment from different disciplines: law, political science, and economics.
Methods
With data from the U.S. House, Senate, and Electoral College (EC) over the period 1790–2010, we compare disproportionality measures and compare both across time and between institutions.
Results
We demonstrate that which approach to measurement we take can dramatically affect some of the conclusions we reach. However, we also demonstrate that the House and the EC are hardly malapportioned, regardless of which measure we use, while the level of malapportionment we observe in the Senate can depend on which measure we use.
Conclusion
Since there are many axiomatic properties we might wish to satisfy, no one measure is uniformly best with respect to all feasible desiderata. However, one measure, the minimum population needed to win a majority, offers a readily comparable measure across legislatures and jurisdictions, and is easy for nonspecialists to understand.</abstract><cop>Oxford</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/ssqu.12871</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0001-9686-6308</orcidid><orcidid>https://orcid.org/0000-0002-2801-3351</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0038-4941 |
ispartof | Social science quarterly, 2020-10, Vol.101 (6), p.2238-2256 |
issn | 0038-4941 1540-6237 |
language | eng |
recordid | cdi_proquest_journals_2455180418 |
source | EconLit s plnými texty; EBSCOhost Business Source Ultimate; International Bibliography of the Social Sciences (IBSS); Wiley-Blackwell Read & Publish Collection; Worldwide Political Science Abstracts; Sociological Abstracts |
subjects | Apportionment Elections Electoral College Legislatures Measurement Political science Property |
title | Legal, Political Science, and Economics Approaches to Measuring Malapportionment: The U.S. House, Senate, and Electoral College 1790–2010 |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T21%3A47%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Legal,%20Political%20Science,%20and%20Economics%20Approaches%20to%20Measuring%20Malapportionment:%20The%20U.S.%20House,%20Senate,%20and%20Electoral%20College%201790%E2%80%932010&rft.jtitle=Social%20science%20quarterly&rft.au=Cervas,%20Jonathan&rft.date=2020-10&rft.volume=101&rft.issue=6&rft.spage=2238&rft.epage=2256&rft.pages=2238-2256&rft.issn=0038-4941&rft.eissn=1540-6237&rft_id=info:doi/10.1111/ssqu.12871&rft_dat=%3Cproquest_cross%3E2455180418%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3341-60787357dca42b0b32a8ab2fb73ce72fdcfdbcfdb37d82590696fb13ec12bf353%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2455180418&rft_id=info:pmid/&rfr_iscdi=true |