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Gerrymandering's Impact on Congressional Seats Revealed by Computer Simulations

United Statesgerrymanderalgorithmpartisan safetyU.S.Voting and Elections@LSQ2 R filesDataverse
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Recent studies have utilized computer simulations to demonstrate how gerrymandering influences partisan bias in U.S. elections.

Researchers now distinguish between intentional bias from redistricting and natural geographic sorting of voters.

However, the effect of gerrangerding on electoral competition remains unexplored.

This research introduces an algorithmic method for creating neutral districts to measure partisan safety.

The findings indicate that while most districts are not heavily biased by gerrymandering, it does create safer seats across the board.

These safe seats tend to emerge in states controlled by a single party during the redistricting process.

Article card for article: Using Computer Simulations to Measure the Effect of Gerrymandering on Electoral Competition in the U.S. Congress
Using Computer Simulations to Measure the Effect of Gerrymandering on Electoral Competition in the U.S. Congress was authored by David Cottrell. It was published by Wiley in LSQ in 2019.
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Legislative Studies Quarterly