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

Katz, Jonathan N. and Katz, Gabriel (2010) Correcting for Survey Misreports using Auxiliary Information with an Application to Estimating Turnout. American Journal of Political Science, 54 (3). pp. 815-835. ISSN 0092-5853. http://resolver.caltech.edu/CaltechAUTHORS:20140314-120456550

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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.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1111/j.1540-5907.2010.00462.xDOIArticle
http://onlinelibrary.wiley.com/doi/10.1111/j.1540-5907.2010.00462.x/abstractPublisherArticle
ORCID:
AuthorORCID
Katz, Jonathan N.0000-0002-5287-3503
Katz, Gabriel0000-0001-5970-2769
Additional Information:© 2010 Midwest Political Science Association. Article first published online: 21 Jun. 2010.
Record Number:CaltechAUTHORS:20140314-120456550
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20140314-120456550
Official Citation:Katz, J. N. and Katz, G. (2010), Correcting for Survey Misreports Using Auxiliary Information with an Application to Estimating Turnout. American Journal of Political Science, 54: 815–835. doi: 10.1111/j.1540-5907.2010.00462.x
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:44334
Collection:CaltechAUTHORS
Deposited By: Jonathan Katz
Deposited On:17 Mar 2014 17:40
Last Modified:26 Apr 2019 22:01

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