Modeling Earnings Measurement Error: A Multiple Imputation Approach
نویسندگان
چکیده
منابع مشابه
Multiple-imputation for measurement-error correction.
BACKGROUND There are many methods for measurement-error correction. These methods remain rarely used despite the ubiquity of measurement error. METHODS Treating measurement error as a missing-data problem, the authors show how multiple-imputation for measurement-error (MIME) correction can be done using SAS software and evaluate the approach with a simulation experiment. RESULTS Based on hy...
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The degree of mobility in incomes is often seen as an important measure of the equality of opportunity in a society and of the flexibility and freedom of its labor market. However, estimation of mobility using panel data is biased by the presence of measurement error and non-random attrition from the panel. This paper shows that dynamic pseudo-panel methods can be used to consistently estimate ...
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Cole et al. in this issue 2 propose that MI may also be useful in dealing with a second problem rife in epidemiology: exposure measurement error, which typically causes underestimation of exposure–disease associations (regression dilution bias). 3 They coin the acronym MIME (multiple imputation for measurement error) and show that this method can indeed remove regression dilution bias. How wide...
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Studies of clinical characteristics frequently measure covariates with a single observation. This may be a mismeasured version of the "true" phenomenon due to sources of variability like biological fluctuations and device error. Descriptive analyses and outcome models that are based on mismeasured data generally will not reflect the corresponding analyses based on the "true" covariate. Many sta...
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OBJECTIVES Structured association tests (SAT), like any statistical model, assumes that all variables are measured without error. Measurement error can bias parameter estimates and confound residual variance in linear models. It has been shown that admixture estimates can be contaminated with measurement error causing SAT models to suffer from the same afflictions. Multiple imputation (MI) is p...
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ژورنال
عنوان ژورنال: The Review of Economics and Statistics
سال: 1996
ISSN: 0034-6535
DOI: 10.2307/2109957