• Corpus ID: 204972562

Measurement Error in Small Area Estimation: Functional Versus Structural Versus Naive Models

@inproceedings{Bell2019MeasurementEI,
  title={Measurement Error in Small Area Estimation: Functional Versus Structural Versus Naive Models},
  author={William R. Bell and Hee Cheol Chung and Gauri S. Datta and Carolina Franco},
  year={2019}
}
Small area estimation using area-level models can sometimes benefit from covariates that are observed subject to random errors, such as covariates that are themselves estimates drawn from another survey. Given estimates of the variances of these measurement (sampling) errors for each small area, one can account for the uncertainty in such covariates using measurement error models (e.g., Ybarra and Lohr, 2008). Two types of area-level measurement error models have been examined in the small area… 

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