MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • Department of Political Science
  • Voting Technology Project
  • Publications and Working Papers
  • View Item
  • DSpace@MIT Home
  • Department of Political Science
  • Voting Technology Project
  • Publications and Working Papers
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Correcting for Survey Misreports using Auxiliary Information with an Application to Estimating Turnout

Author(s)
Katz, Jonathan N.; Katz, Gabriel
Thumbnail
DownloadWP-74.pdf (287.0Kb)
Metadata
Show full item record
Abstract
Misreporting is a problem that plagues researchers that use survey data. In this paper, we give conditions under which misreporting will lead to incorrect inferences. We then develop a model that corrects for misreporting using some auxiliary information, usually from an earlier or pilot validation study. This correction is implemented via Markov Chain Monte Carlo (MCMC) methods, which allows us to correct for other problems in surveys, such as non-response. This correction will allow researchers to continue to use the non-validated data to make inferences. The model, while fully general, is developed in the context of estimating models of turnout from the American National Elections Studies (ANES) data.
Date issued
2009-05
URI
http://hdl.handle.net/1721.1/96609
Publisher
Caltech/MIT Voting Technology Project
Series/Report no.
VTP Working Paper Series;74

Collections
  • Publications and Working Papers

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.