eprintid: 83
rev_number: 10
eprint_status: archive
userid: 22
dir: disk0/00/00/00/83
datestamp: 2011-02-22 15:50:30
lastmod: 2011-07-11 14:25:31
status_changed: 2011-02-22 15:50:30
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Katz, Jonathan N.
creators_name: Katz, Gabriel
creators_id: 
creators_id: g.katz@imtlucca.it
title: Correcting for Survey Misreports Using Auxiliary Information with an Application to Estimating Turnout
ispublished: pub
subjects: HA
subjects: JA
subjects: JF
divisions: EIC
full_text_status: none
abstract: Misreporting is a problem that plagues researchers who use survey data. In this article, we develop a parametric model that corrects for misclassified binary responses using information on the misreporting patterns obtained from auxiliary data sources. The model is implemented within the Bayesian framework via Markov Chain Monte Carlo (MCMC) methods and can be easily extended to address other problems exhibited by survey data, such as missing response and/or covariate values. While the model is fully general, we illustrate its application in the context of estimating models of turnout using data from the American National Elections Studies.
date: 2010-07
date_type: published
publication: American Journal of Political Science
volume: 54
number: 3
publisher: Blackwell Publishing Inc
pagerange: 815-835
id_number: doi:10.1111/j.1540-5907.2010.00462.x
refereed: TRUE
issn: 00925853
official_url: http://dx.doi.org/10.1111/j.1540-5907.2010.00462.x
citation:   Katz, Jonathan N. and Katz, Gabriel  Correcting for Survey Misreports Using Auxiliary Information with an Application to Estimating Turnout.  American Journal of Political Science, 54 (3).  pp. 815-835.  ISSN 00925853      (2010)