Correcting for Survey Misreports Using Auxiliary Information with an Application to Estimating Turnout
Bibliographic Data
| ID | 6232444 |
|---|---|
| Authors | Jonathan Ned Katz (0000-0002-5287-3503, California Institute of Technology), Gregory Katz (0000-0001-5970-2769, California Institute of Technology), Gabriel Katz |
| Year | 2010 |
| Volume | 54 |
| Issue | 3 |
| Pages | 815-835 |
| Publication date | 2010-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Political Science (JOURNAL) |
| Journal identifiers | ISSN: 0092-5853 • E-ISSN: 1540-5907 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1540-5907.2010.00462.x |
| OpenAlex | W3122439638 |
| Language | EN |
| Citations received | 25 |
| References cited | 42 |
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
Bayesian probability · Context (archaeology · Covariate · Data mining · Econometrics · Geography · Machine learning · Markov chain Monte Carlo · Missing data · Parametric statistics · Political science · Statistics · Survey data collection · Turnout · Advanced Causal Inference Techniques · Artificial Intelligence · Computer Science · Electoral Systems and Political Participation · Mathematics · Statistical Methods and Bayesian Inference
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Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable
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The Politics of Race and Voter ID Laws in the States
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Validation
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A Unified Approach to Measurement Error and Missing Data
A Unified Approach to Measurement Error and Missing Data
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Statistical analysis with missing data
Data Analysis Using Regression and Multilevel/Hierarchical Models
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Misclassification of the dependent variable in a discrete-response setting
Sampling-Based Approaches to Calculating Marginal Densities
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Bayesian Analysis of Binary and Polychotomous Response Data
Inference and missing data
Inference from Iterative Simulation Using Multiple Sequences
Missing data
Information and Elections
Correcting surveys for non-response and measurement error using auxiliary information
Race-Related Differences in Self-Reported and Validated Turnout
Race-Related Differences in Self-Reported and Validated Turnout in 1984
Self-Reported versus Proxy-Reported Voter Turnout in the Current Population Survey
Overreporting Voting
The Consequences of Validated and Self-Reported Voting Measures
Voter Turnout and the National Election Studies
Rational Choice and Turnout
The Distortion of Voter Recall
Measurement and Mismeasurement of the Validity of the Self-Reported Vote
Scobit
The Nonvoting Voter in Voting Research
Overreporting And Electoral Participation Research
Who Overreports Voting
| Unique citing works | 25 |
|---|---|
| Citations per year | 1,79 |
| Citation span | 2012 - 2024 (13) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 25 |