R X C Ecological Inference: Bounds, Correlations, Flexibility, and Transparency of Assumptions

DSpace/Manakin Repository

R X C Ecological Inference: Bounds, Correlations, Flexibility, and Transparency of Assumptions

Citable link to this page

 

 
Title: R X C Ecological Inference: Bounds, Correlations, Flexibility, and Transparency of Assumptions
Author: Greiner, Daniel James; Quinn, Kevin

Note: Order does not necessarily reflect citation order of authors.

Citation: James Greiner & Kevin Quinn, R X C Ecological Inference: Bounds, Correlations, Flexibility, and Transparency of Assumptions, 172 J. Royal Stat. Soc. 67 (2009).
Access Status: Full text of the requested work is not available in DASH at this time (“dark deposit”). For more information on dark deposits, see our FAQ.
Full Text & Related Files:
Abstract: 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.
Published Version: doi:10.1111/j.1467-985X.2008.00551.x
Other Sources: http://www.law.berkeley.edu/files/GQ-JRSSA.pdf
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10876001
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters