Assessing South Carolina's 1990s congressional districting

Cirincione, Carmen; Darling, Thomas A.; O’Rourke, Timothy

doi:10.1016/s0962-6298(99)00047-5

Cited by 67 publications

(62 citation statements)

References 24 publications

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“…These previous studies have often used automated redistricting in order to obtain a baseline against which to detect the intentions of those drawing the lines. Cirincione et al (2003) use a simulated districting algorithm to detect racial gerrymandering in South Carolina's congressional districting plan, while Altman and McDonald (2004) propose an enhanced method of this algorithm for detecting partisan gerrymandering. Johnston and Hughes (2008) apply an automated districting algorithm in Brisbane, Australia in order to gain a baseline against which to compare the boundaries chosen by neutral commissioners.…”

Section: Automated Districting and Electoral Biasmentioning

confidence: 99%

Unintentional Gerrymandering: Political Geography and Electoral Bias in Legislatures

Chen

Rodden

2013

QJPS

283

169

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While conventional wisdom holds that partisan bias in U.S. legislative elections results from intentional partisan and racial gerrymandering, we demonstrate that substantial bias can also emerge from patterns of human geography. We show that in many states, Democrats are inefficiently concentrated in large cities and smaller industrial agglomerations such that they can expect to win fewer than 50% of the seats when they win 50% of the votes. To measure this ''unintentional * The authors wish to thank

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Section: Automated Districting and Electoral Biasmentioning

confidence: 99%

Unintentional Gerrymandering: Political Geography and Electoral Bias in Legislatures

Chen

Rodden

2013

QJPS

283

169

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“…there often exists at least some suspicion that a state's districts have been gerrymandered in some way, even in states with bipartisan or nonpartisan commissions or in states where mapmakers proclaim to be neutral. since it is difficult to estimate the nongerrymandered counterfactual using comparable elections, researchers have recently turned to simulating it using computer-automated districting algorithms (Chen and Cottrell 2016;Cirincione, darling, and O'rourke 2000;Fifield et al 2015;Fryer Jr. and Holden 2011;Krasno et al 2016;Magleby and Mosesson 2018). 4 these algorithms are designed to reproduce the districting process by aggregating Census blocks into a predetermined number of contiguous and equally populated geographic jurisdictions.…”

Section: Measuring the Effect Of Gerrymandering By Establishing The Nmentioning

confidence: 99%

Using Computer Simulations to Measure the Effect of Gerrymandering on Electoral Competition in the U.S. Congress

Cottrell¹

2019

Legislative Studies Qtrly

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Recent research has leveraged computer simulations to identify the effect of gerrymandering on partisan bias in U.S. legislatures. As a result of this method, researchers are able to distinguish between the intentional partisan bias caused by gerrymandering and the natural partisan bias that stems from the geographic sorting of partisan voters. However, this research has yet to explore the effect of gerrymandering on other biases like reduced electoral competition and incumbency protection. Using a computer algorithm to design a set of districts without political intent, I measure the extent to which the current districts have been gerrymandered to produce safer seats in Congress. I find that gerrymandering only has a minor effect on the average district, but does produce a number of safe seats for both Democrats and Republicans. Moreover, these safe seats tend to be located in states where a single party controls the districting process.

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“…• Political districting for the definition of electoral areas (Mehrotra et al, 1998;Cirincione et al, 2000;Bozcaya et al, 2003).…”

Section: The Districting Problemmentioning

confidence: 99%

A multi-criteria Police Districting Problem for the efficient and effective design of patrol sector

Camacho‐Collados

Liberatore

Angulo

2015

European Journal of Operational Research

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Assessing South Carolina's 1990s congressional districting

Cited by 67 publications

References 24 publications

Unintentional Gerrymandering: Political Geography and Electoral Bias in Legislatures

Unintentional Gerrymandering: Political Geography and Electoral Bias in Legislatures

Using Computer Simulations to Measure the Effect of Gerrymandering on Electoral Competition in the U.S. Congress

A multi-criteria Police Districting Problem for the efficient and effective design of patrol sector

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