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

Consiglio Loredana Di () and Tuoto Tiziana ()
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Consiglio Loredana Di: Istituto Nazionale di Statistica, Istat, Italy .
Tuoto Tiziana: Istituto Nazionale di Statistica, Istat, Italy .

Statistics in Transition New Series, 2020, vol. 21, issue 4, 103-122

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.

Keywords: linear mixed models; data integration; linkage errors. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:21:y:2020:i:4:p:103-122:n:14

DOI: 10.21307/stattrans-2020-033

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