Skip to main content

R×C ecological inference: bounds, correlations, flexibility and transparency of assumptions

Buy Article:

$43.00 plus tax (Refund Policy)


Despite its potential pitfalls, ecological inference is an unavoidable part of some quantitative settings, including US voting rights litigation. In such applications, the analyst will typically encounter two-way tables with more than two rows and columns. Although several ecological inference methods are currently available for 2×2 tables, there are fewer options for analysing general R×C tables, and virtually none that model counts as opposed to fractions. We propose a count R×C method that respects the bounds deterministically, that allows for complex relationships between internal cell quantities, that is easily extensible and that results from transparent assumptions. We study the method via simulation, and then apply it to an example that is drawn from the state of Texas relevant to recent redistricting litigation there.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Bayesian inference; Ecological inference; Voting rights litigation

Document Type: Research Article

Affiliations: 1: Harvard Law School, Cambridge, USA 2: Harvard University, Cambridge, USA

Publication date: 2009-01-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more