Estimating the Electoral Consequences of Legislative Redistricting

Citation:

Andrew Gelman and Gary King. 1990. “Estimating the Electoral Consequences of Legislative Redistricting.” Journal of the American Statistical Association, 85, Pp. 274–282. Copy at http://j.mp/2nRBBOO
Article220 KB
Estimating the Electoral Consequences of Legislative Redistricting

Abstract:

We analyze the effects of redistricting as revealed in the votes received by the Democratic and Republican candidates for state legislature. We develop measures of partisan bias and the responsiveness of the composition of the legislature to changes in statewide votes. Our statistical model incorporates a mixed hierarchical Bayesian and non-Bayesian estimation, requiring simulation along the lines of Tanner and Wong (1987). This model provides reliable estimates of partisan bias and responsiveness along with measures of their variabilities from only a single year of electoral data. This allows one to distinguish systematic changes in the underlying electoral system from typical election-to-election variability.
Last updated on 07/26/2013