Skip to main content Accessibility help
×
Hostname: page-component-76fb5796d-wq484 Total loading time: 0 Render date: 2024-04-27T15:59:54.447Z Has data issue: false hasContentIssue false

6 - Using Prior Information to Aid Ecological Inference: A Bayesian Approach

Published online by Cambridge University Press:  18 May 2010

Gary King
Affiliation:
Harvard University, Massachusetts
Ori Rosen
Affiliation:
University of Pittsburgh
Martin A. Tanner
Affiliation:
Northwestern University, Illinois
Get access

Summary

ABSTRACT

This research concerns a long-standing historical question: How did previously disenfranchised women employ the ballot after suffrage extension in the United States? The absence of reliable survey data from the 1920s and the ecological fallacy have frustrated efforts to learn about the voting behavior of women in this period. The ecological inference problem is particularly difficult in the case of sex differences. In contrast to many other politically interesting groups (e.g., racial and ethnic minorities), women are generally not characterized by particular residential patterns; as a result, there is minimal variation in the percent female across units. We address this challenge, and the ecological inference problem generally, by (1) introducing new, highly disaggregated election returns and census data; (2) adding nonsample information from the historical context to inform our estimates (specifically, the previous electoral behavior of men and the easily defensible assumption that male turnout exceeds female turnout); and (3) taking advantage of the existence of one state, Illinois, where male and female ballots were tabulated separately in 1916 and 1920. We adopt and investigate the performance of a hierarchical binomial–normal model developed by Wakefield (2001). The results suggest that, while estimates can be highly contingent on investigator assumptions, a hierarchical strategy coupled with a limited number of uncontroversial assumptions can generate plausible estimates of turnout by gender.

Type
Chapter
Information
Ecological Inference
New Methodological Strategies
, pp. 144 - 161
Publisher: Cambridge University Press
Print publication year: 2004

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×