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A comparison of area level and unit level small area models in the presence of linkage errors

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  • Consiglio Loredana Di

    (Istituto Nazionale di Statistica, Istat, Italy .)

  • Tuoto Tiziana

    (Istituto Nazionale di Statistica, Istat, Italy .)

Abstract

In Official Statistics, interest in data integration has grown enormously, but the effect of integration procedures on statistical analysis has not yet been sufficiently developed. Data integration is not an error-free procedure and linkage errors, as false links and missed links can invalidate standard estimates. Recently, increasing attention has been paid to the effect of linkage errors on the statistical analyses and on statistical predictions.

Suggested Citation

  • Consiglio Loredana Di & Tuoto Tiziana, 2020. "A comparison of area level and unit level small area models in the presence of linkage errors," Statistics in Transition New Series, Statistics Poland, vol. 21(4), pages 103-122, August.
    • Handle: RePEc:vrs:stintr:v:21:y:2020:i:4:p:103-122:n:14
    DOI: 10.21307/stattrans-2020-033
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    References listed on IDEAS

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    1. P. Lahiri & Michael D. Larsen, 2005. "Regression Analysis With Linked Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 222-230, March.
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