Abstract
We consider the problem of estimating the total (or the mean) of a continuous variable in a finite population setting, using the auxiliary information provided by a covariate which is available in a different file. However the matching steps between the two files is uncertain due to a lack of identification code for the single unit. We propose a fully Bayesian approach which merges the record linkage step with the subsequent estimation procedure.
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Briscolini, D., Liseo, B., Tancredi, A. (2017). Bayesian Inference for a Finite Population Total Using Linked Data. In: Ferraro, M., et al. Soft Methods for Data Science. SMPS 2016. Advances in Intelligent Systems and Computing, vol 456. Springer, Cham. https://doi.org/10.1007/978-3-319-42972-4_10
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DOI: https://doi.org/10.1007/978-3-319-42972-4_10
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