Total Process Error: An Approach for Assessing and Monitoring the Quality of Multisource Processes

Rocci Fabiana (), Varriale Roberta () and Luzi Orietta ()
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Rocci Fabiana: Istat, Via Cesare Balbo 16, 00184 Roma, Italy.
Varriale Roberta: Istat, Via Cesare Balbo 16, 00184 Roma, Italy.
Luzi Orietta: Istat, Via Cesare Balbo 16, 00184 Roma, Italy.

Journal of Official Statistics, 2022, vol. 38, issue 2, 533-556

Abstract: Most National Statistical Institutes are progressively moving from traditional production models to new strategies based on the combined use of different sources of information, which can be both primary and secondary. In this article, we propose a framework for assessing the quality of multisource processes, such as statistical registers. The final aim is to develop a tool supporting decisions about the process design and its monitoring, and to provide quality measures of the whole production. The starting point is the adaptation of the life-cycle paradigm, that results in a three-phases framework described in recent literature. An evolution of this model is proposed, focusing on the first two phases of the life-cycle, to better represent the source integration/combination phase, that can vary accordingly to the features of different types of processes. The proposed enhancement would improve the existing quality framework to support the evaluation of different multisource processes. An application of the proposed framework to two Istat (Italian national statistical institute) registers in the economic area taken as case studies is presented. These experiences show the potentials of such tool in supporting National Statistical Institutes in assessing multisource statistical production processes.

Keywords: Quality framework; multi-source processes; total survey error; statistical register (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:38:y:2022:i:2:p:533-556:n:12

DOI: 10.2478/jos-2022-0025

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