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Featured researches published by Robin Best.


American Politics Research | 2018

Can Gerrymanders Be Detected? An Examination of Wisconsin’s State Assembly:

Jonathan S. Krasno; Daniel Magleby; Michael D. McDonald; Shawn Donahue; Robin Best

In October 2017, the Supreme Court heard an appeal of a November 2016 ruling striking down Wisconsin’s State Assembly districts as a Republican gerrymander that illegally dilutes the weight of Democratic votes. We take the opportunity to revisit this litigation to evaluate three proposed methods of detecting gerrymanders: the “efficiency gap,” a count of Assembly districts carried by statewide candidates, and the difference between the district-level partisan median and mean. The first two measures figure either centrally or peripherally in the plaintiffs’ case in Wisconsin, while the third is the approach we favor. We expand on the analysis offered at trial by evaluating how these measures fare across a variety of elections in Wisconsin and with the aid of 10,000 alternative Assembly maps drawn by computer. The alternative maps provide the appropriate baseline with which to gauge the level of vote dilution in Wisconsin and distinguish between the effect of residential geography and the Legislature’s actions. The results show that Wisconsin’s Assembly map is a substantial gerrymander according the median–mean comparison across all elections, while the two tests relied upon by the plaintiffs provide mixed results. We examine the measurement qualities of each test and show that the efficiency gap and districts-carried count both capture elements beyond partisan bias. We find no similar ambiguity with the median–mean comparison and conclude that the plaintiffs’ claim that Wisconsin’s Assembly map systematically dilutes the weight of Democratic votes is correct.


Electoral Studies | 2015

The perils and pitfalls of ignoring disproportionality's behavioral components

Robin Best; Andrei Zhirnov


Archive | 2013

Coder Training: Key to Enhancing Reliability and Validity

Andrea Volkens; Judith Bara; Ian Budge; Michael D. McDonald; Robin Best; Simon Franzmann


Archive | 2013

Using the Manifesto Estimates to Correct Systematic ‘Centring’ Error in Expert and Electoral Positioning of Parties

Andrea Volkens; Judith Bara; Ian Budge; Michael D. McDonald; Robin Best; Simon Franzmann


Archive | 2016

Models in political science: forms and purposes

Robin Best; Michael D. McDonald


Archive | 2013

Measuring Uncertainty and Error Directly from End Estimates

Andrea Volkens; Judith Bara; Ian Budge; Michael D. McDonald; Robin Best; Simon Franzmann


Archive | 2013

What are Manifestos for? Selecting and Typing Documents in the Database

Andrea Volkens; Judith Bara; Ian Budge; Michael D. McDonald; Robin Best; Simon Franzmann


Archive | 2013

Validated Estimates versus Dodgy Adjustments: Focusing Excessively on Error Distorts Results

Andrea Volkens; Judith Bara; Ian Budge; Michael D. McDonald; Robin Best; Simon Franzmann


Archive | 2013

Linking Uncertainty Measures to Document Selection and Coding

Andrea Volkens; Judith Bara; Ian Budge; Michael D. McDonald; Robin Best; Simon Franzmann


Archive | 2013

Using the Manifesto Estimates to Refine Party Family Placements

Andrea Volkens; Judith Bara; Ian Budge; Michael D. McDonald; Robin Best; Simon Franzmann

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Judith Bara

Queen Mary University of London

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Simon Franzmann

University of Düsseldorf

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Shawn Donahue

State University of New York System

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