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Selective editing for asymmetry analysis in intra-EU trade Micro-Data Exchange (MDE).

Authors :
Bruno, Mauro
Causo, Maria Serena
Massacci, Giulio
Ortame, Francesco
Ruocco, Giuseppina
Toti, Simona
Source :
Statistical Journal of the IAOS. 2024, Vol. 40 Issue 3, p649-658. 10p.
Publication Year :
2024

Abstract

Since January 2022, the Regulation on European Business Statistics (EU 2019/2152) requires EU Member States to compulsorily share microdata on intra-EU exports. Establishing intra-EU export Micro-Data Exchange (MDE) provides National Statistical Institutes with a new data source to compile intra-EU import statistics. The availability of MDE tackles two key challenges: diminishing the overall response burden on data providers and meeting user expectations regarding the quality of the produced statistics. However, transitioning to a data production system based on MDE data requires the assessment of the coherence and comparability between MDE and National import data. To identify asymmetries between the two data sources, Istat developed an innovative application designed to foster cooperation among Member States. The tool was developed using the Shiny package in R. The implemented solution allows users to perform exploratory analysis, systematic error detection, and selective editing. The most relevant asymmetries are identified through relative contribution and the asymmetry suspicion indices assessed by user-defined thresholds. Sharing the open tool within the European Statistical System enhances interoperability, promotes method harmonization, and encourages the adoption of official statistical standards. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18747655
Volume :
40
Issue :
3
Database :
Academic Search Index
Journal :
Statistical Journal of the IAOS
Publication Type :
Academic Journal
Accession number :
180007800
Full Text :
https://doi.org/10.3233/SJI-240016