1977
DOI: 10.2307/439420
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Pruning Thorns from the Thicket: An Empirical Test of the Existence of Racial Gerrymandering

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Cited by 34 publications
(15 citation statements)
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“…In our view, then, the appropriate way to test for gerrymandering (where the impact of a districting scheme or election rule can be projected, or judged in retrospect, with a high degree of certainty) is to look at a Monte Carlo simulation or some other technique for generating a random sample of all legally permissible redistricting plans, and then to use standard statistical tests to estimate whether the anticipated effects of the scheme under scrutiny could reasonably have been expected to have occurred,by chance alone. An earlier presentation of this view is Grofman (1982b); similar views have been set forth by Backstrom et al (1978), Engstrom and Wildgen (1977), and Gudgin and Taylor (1979).…”
Section: 5mentioning
confidence: 62%
“…In our view, then, the appropriate way to test for gerrymandering (where the impact of a districting scheme or election rule can be projected, or judged in retrospect, with a high degree of certainty) is to look at a Monte Carlo simulation or some other technique for generating a random sample of all legally permissible redistricting plans, and then to use standard statistical tests to estimate whether the anticipated effects of the scheme under scrutiny could reasonably have been expected to have occurred,by chance alone. An earlier presentation of this view is Grofman (1982b); similar views have been set forth by Backstrom et al (1978), Engstrom and Wildgen (1977), and Gudgin and Taylor (1979).…”
Section: 5mentioning
confidence: 62%
“…Actual districting plans can then be compared with this probability distribution to determine how unlikely or contrived particular plans may be. This approach, which follows a line of work in geography and political science (see, e.g., Cirincione, Darling, & O'Rourke, in press;Engstrom & Wildgen, 1977;McDonald & Engstrom, 1990;Morrill, 1976;O'Loughlin, 1982), is applied here to city council wards in Buffalo, New York.…”
Section: Introductionmentioning
confidence: 99%
“…Female representation is even more lopsided with little more than 5°7o of our representatives being women. There have been a number of explanations for this disparity including; voting biases (Eckstrand and Eckert, 1981), differing participation rates (Shingles, 1981), skewed nomination procedures (Rule, 1981), racial gerrymandering (Engstrom and Wildgen, 1977) and funding inequities (Wilhite and Theilmann, 1986). This study investigates the possibility that political parties discriminate among candidates by distributing campaign aid based on race and/or sex.…”
Section: Introductionmentioning
confidence: 99%