An Empirical Investigation of Biased Survey Data and an Attempted Cure
AbstractIn this paper I investigate response bias in survey data on annual driving mileage and evaluate the performance of a proposed remedy, Orbit. Individuals systematically exaggerate their deviation from the sample average, and using the self-reported data leads to misleading estimates of the income elasticity of travel mileage. I extend the Orbit procedure, which is designed to correct for reporting bias, to allow misreporting at the lower censoring point. Orbit fails to detect the nature of the bias and distorts the income elasticity estimate even further. The message for practitioners using biased data is therefore a cautionary one.
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Bibliographic InfoPaper provided by University of California at Davis, Department of Economics in its series Working Papers with number 04-4.
Date of creation: Aug 2004
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Other versions of this item:
- James E. Prieger, 2004. "An Empirical Investigation of Biased Survey Data and an Attempted Cure," Working Papers 44, University of California, Davis, Department of Economics.
- C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Systems - - - Transportation: Demand, Supply, and Congestion
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