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Vol. 93, No. 1 March[removed]American Political Science Review A Statistical Model for Multiparty Electoral Data JONATHAN N. KATZ University of
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Document Date: 2013-02-04 23:37:27


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City

Chicago / /

Company

Norton / /

Country

Italy / West Germany / Mexico / New Zealand / Peru / Poland / France / Japan / Russia / United States / United Kingdom / Denmark / /

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EntertainmentAwardEvent

the Pi Sigma Alpha Award / /

Facility

University of Newcastle / Multiparty Electoral Data JONATHAN N. KATZ University of GARY KING Haward University / University of Chicago / Harvard University / /

IndustryTerm

twoparty systems / electoral systems / multiparty systems / science applications / /

NaturalFeature

Alliance fall / /

Organization

Midwest Political Science Association / British House of Commons / World Health Organization / Harvard University / National Science Foundation / Social Democratic Party / J. Then / etc / Labour Party / Haynes Foundation / OECD / University of Newcastle / Liberal Party / Centers for Disease Control and Prevention / Division of Diabetes Translation / University of Chicago / U.S. House of Representatives / Multiparty Electoral Data JONATHAN N. KATZ University / /

Person

Jim Alt / Larry Bartels / Ken Shepsle / Selina Chen / GARY KING / James Honaker / Josh Tucker / Chuanhai Liu / Jonathan N. Katz / Dave Grether / Ken Scheve / Burt Monroe / Bob Sherman / Neal Beck / Nick Cox / Mo Fiorina / Gary Cox / Mike Herron / /

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PoliticalEvent

General Elections / /

Position

Statistical Model for Multiparty Electoral Data run / Butler / Professor of Government / Professor of Political Science / King / Statistical Model for Multiparty Electoral Data research / statistical analyst / Statistical Model for Multiparty Electoral Data the others / /

ProvinceOrState

Illinois / /

PublishedMedium

American Political Science Review / /

Technology

Alpha / simulation / /

URL

http /

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