The Italian National Statistical Institute (Istat) is currently engaged in a modernization programme that foresees a significant revision of the methods traditionally used for the production of official statistics. The main concept behind this transformation is the use of the Integrated System Statistical Registers, created by a massive integration of administrative archives and survey data. In this article, we focus on how to measure the accuracy of register estimates of a population total from measurements calculated at the unit level. We propose the global mean squared error (GMSE) as a statistical quantity suitable for measuring accuracy in the context of the production of official statistics. It can be defined to explicitly consider the main sources of uncertainty that may affect registers. The article suggests a feasible calculation strategy for the GMSE that allows National Statistical Institutes to build algorithms that can promptly be applied for each user request, thus improving the relevance, transparency and confidence of official statistics. Through a simulation study, we verified the efficacy of the proposed strategy.

Alleva, G., Demetrio Falorsi, P., Petrarca, F., & Righi, P. (2021). Measuring the Accuracy of Aggregates Computed from a Statistical Register. JOURNAL OF OFFICIAL STATISTICS, 37(2), 481-503 [10.2478/jos-2021-0021].

Measuring the Accuracy of Aggregates Computed from a Statistical Register

Francesca Petrarca;
2021

Abstract

The Italian National Statistical Institute (Istat) is currently engaged in a modernization programme that foresees a significant revision of the methods traditionally used for the production of official statistics. The main concept behind this transformation is the use of the Integrated System Statistical Registers, created by a massive integration of administrative archives and survey data. In this article, we focus on how to measure the accuracy of register estimates of a population total from measurements calculated at the unit level. We propose the global mean squared error (GMSE) as a statistical quantity suitable for measuring accuracy in the context of the production of official statistics. It can be defined to explicitly consider the main sources of uncertainty that may affect registers. The article suggests a feasible calculation strategy for the GMSE that allows National Statistical Institutes to build algorithms that can promptly be applied for each user request, thus improving the relevance, transparency and confidence of official statistics. Through a simulation study, we verified the efficacy of the proposed strategy.
Alleva, G., Demetrio Falorsi, P., Petrarca, F., & Righi, P. (2021). Measuring the Accuracy of Aggregates Computed from a Statistical Register. JOURNAL OF OFFICIAL STATISTICS, 37(2), 481-503 [10.2478/jos-2021-0021].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11590/412482
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