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

Author:

Bruno Mauro,Causo Maria Serena,Massacci Giulio,Ortame Francesco,Ruocco Giuseppina,Toti Simona

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.

Publisher

IOS Press

Reference8 articles.

1. Software Engineering and R Programming: A Call for Research;Vidoni;R J.,2021

2. Statistical editing and imputation for periodic business surveys;Hidiroglou;Survey Methodology.,1986

3. Jäder A, Norberg A. A selective editing method considering both suspicion and potential impact, developed and applied to the swedish foreign trade statistics. Macroeconomics and Prices Department, Statistics Sweden; 2006.

4. Six Years of Shiny in Research – Collaborative Development of Web Tools in R;Kasprzak;The R Journal.,2021

5. EMSaov: An R Package for the Analysis of Variance with the Expected Mean Squares and its Shiny Application;Choe;The R Journal.,2017

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