Correcting for Survey Misreports using Auxiliary Information with an Application to Estimating Turnout
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...
| Main Authors: | , |
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| Format: | Working Paper |
| Language: | en_US |
| Published: |
Caltech/MIT Voting Technology Project
2015
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| Online Access: | http://hdl.handle.net/1721.1/96609 |
| _version_ | 1826205835618942976 |
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| author | Katz, Jonathan N. Katz, Gabriel |
| author_facet | Katz, Jonathan N. Katz, Gabriel |
| author_sort | Katz, Jonathan N. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:19:51Z |
| format | Working Paper |
| id | mit-1721.1/96609 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:19:51Z |
| publishDate | 2015 |
| publisher | Caltech/MIT Voting Technology Project |
| record_format | dspace |
| spelling | mit-1721.1/966092019-04-10T10:52:30Z Correcting for Survey Misreports using Auxiliary Information with an Application to Estimating Turnout Katz, Jonathan N. Katz, Gabriel 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. 2015-04-15T14:16:12Z 2015-04-15T14:16:12Z 2009-05 Working Paper http://hdl.handle.net/1721.1/96609 en_US VTP Working Paper Series;74 application/pdf Caltech/MIT Voting Technology Project |
| spellingShingle | Katz, Jonathan N. Katz, Gabriel Correcting for Survey Misreports using Auxiliary Information with an Application to Estimating Turnout |
| title | Correcting for Survey Misreports using Auxiliary Information with an Application to Estimating Turnout |
| title_full | Correcting for Survey Misreports using Auxiliary Information with an Application to Estimating Turnout |
| title_fullStr | Correcting for Survey Misreports using Auxiliary Information with an Application to Estimating Turnout |
| title_full_unstemmed | Correcting for Survey Misreports using Auxiliary Information with an Application to Estimating Turnout |
| title_short | Correcting for Survey Misreports using Auxiliary Information with an Application to Estimating Turnout |
| title_sort | correcting for survey misreports using auxiliary information with an application to estimating turnout |
| url | http://hdl.handle.net/1721.1/96609 |
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