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The use of accuracy indicators to correct for survey measurement error

Author

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  • Da Silva, Damião Nóbrega
  • Skinner, Chris J.

Abstract

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

  • Da Silva, Damião Nóbrega & Skinner, Chris J., 2014. "The use of accuracy indicators to correct for survey measurement error," LSE Research Online Documents on Economics 51256, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:51256
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    File URL: http://eprints.lse.ac.uk/51256/
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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.

    More about this item

    Keywords

    accuracy indicator; finite population distribution function; measurement error; pseudo-maximum-likelihood;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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