Estimating the Extent of Racially Polarized Voting in Multicandidate Contests
Bibliographic Data
| ID | 2331613 |
|---|---|
| Authors | B Grofman (0000-0002-2801-3351, School of Social Sciences University of California, Irvine), Michael Migalski (School of Social Sciences University of California, Irvine) |
| Year | 1988 |
| Volume | 16 |
| Issue | 4 |
| Pages | 427-453 |
| Publication date | 1988-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociological Methods & Research (JOURNAL) |
| Journal identifiers | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0049124188016004001 |
| OpenAlex | W2069381575 |
| Language | EN |
| Citations received | 11 |
| References cited | 9 |
We extend the standard ecological regression methodology for analysis of racial bloc voting in single-member districts in which there is one seat to be filled to cover multimember districts without a numbered-place system. In such multimember districts voters may vote for up to k candidates and not all voters need to cast the same number of votes. These complications render the usual single-equation OLS technique inappropriate. The methodology we propose involves a two-step estimating procedure. The variable that is our principal concern, the proportion of white voters who vote for the black (or other minority) candidate, has its value determined by combining information from each of our two separate estimating equations. Thus we cannot directly obtain a confidence limit for our estimated value of this variable from either of the two equations alone. We derive a value of the standard error of our estimate of this variable by combining formula for the variance of the quotients and sums of two variables of known variance and covariance. We verify that our results are robust by comparing our estimates with those generated by the 'seemingly unrelated regression' (SURE) model that is designed to cope with correlated errors in regressions that share in the same independent variables. The methodology we develop has an important application in voting rights litigation challenging the constitutionality of the multimember districts and at-large elections, which are the most common form of election mechanism in U.S. cities
Covariance · Econometrics · Economics · Instrumental variable · Limit (mathematics) · Omitted-variable bias · Political science · Politics · Standard error · Statistics · Value (mathematics) · Variable (mathematics) · Variance (accounting) · Voting · Electoral Systems and Political Participation · Law · Mathematics
Comment on “Estimating the Extent of Racially Polarized Voting in Multicandidate Contests” by Bernard Grofman and Michael Migalski
The Statistical Properties and Empirical Performance of Double Regression
Estimating floating voters
The nationalization of electoral change in a geographical perspective
A Reply to Zax's (2002) Critique of Grofman and Migalski (1988)
Bloc Voting, Polarization, and the Panethnic Hypothesis
Race, Turnout, Runoff and Election Outcomes
Estimating the likelihood of fallacious ecological inference
The Racial Context of Convenience Voting Cutbacks
Estimating Candidate Support in Voting Rights Act Cases
EI Extended Model and the Fear of Ecological Fallacy
The shaping of Southern politics
An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
The Impact of Multimember Districts on Party Representation in U. S. State Legislatures
The “Totality of Circumstances Test” in Section 2 of the 1982 Extension of the Voting Rights Act
Ecological Regressions and Behavior of Individuals
An Alternative to Ecological Correlation
Ecological Correlations and the Behavior of Individuals
Some Alternatives to Ecological Correlation
| Unique citing works | 11 |
|---|---|
| Citations per year | 0,38 |
| Citation span | 1997 - 2022 (26) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 11 |