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The use of accuracy indicators to correct for survey measurement error

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  • Damião N. Da Silva
  • Chris Skinner

Abstract

type="main" xml:id="rssc12022-abs-0001"> An accuracy indicator is an observed variable which is related to the size of measurement error. Basic and extended models are introduced to represent the properties of a binary accuracy indicator. Under specified assumptions, it is shown that an accuracy indicator can identify a measurement error model. An approach to estimating a distribution function is presented together with methodology for variance estimation. The approach is applied to data on earnings from the British Household Panel Survey, where the accuracy indicator is whether or not a payslip is observed. A validation study provides justification for the modelling assumptions.

Suggested Citation

  • Damião N. Da Silva & Chris Skinner, 2014. "The use of accuracy indicators to correct for survey measurement error," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(2), pages 303-319, February.
    • Handle: RePEc:bla:jorssc:v:63:y:2014:i:2:p:303-319
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    File URL: http://hdl.handle.net/10.1111/rssc.2014.63.issue-2
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    Cited by:

    1. Da Silva, Damião Nóbrega & Skinner, Chris J. & Kim, Jae Kwang, 2016. "Using binary paradata to correct for measurement error in survey data analysis," LSE Research Online Documents on Economics 64763, London School of Economics and Political Science, LSE Library.

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