Quality of INTRASTAT DATA. Comparison Between the ‘Old’ and the ‘New’ EU Member States

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DOI:

https://doi.org/10.18778/0208-6018.341.05

Keywords:

official statistics data quality, mirror data, intra-Community trade, EU

Abstract

The Intrastat system is used for gathering statistical data on trade in goods between the EU Member States. Data from all the Member States are aggregated by Eurostat. Specifics of the data collection process are different in different countries and that is why mirror data (regarding by default the same transactions revealed in statistics of both the acquirer and supplier country) often do not match. The goal of the analysis conducted was to assess the quality of data on intra‑Community trade in goods between the ‘old’ fifteen and the ‘new’ EU Member States as well as to point out these directions that influenced the observed differences in mirror data the most. The paper is a follow‑up of previous research on the quality of foreign trade data.

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References

Domański Cz., Pekasiewicz D., Baszczyńska A., Witaszczyk A. (2014), Testy statystyczne w procesie podejmowania decyzji, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.
Google Scholar

Dunn O. J. (1964), Multiple comparisons using rank sums, “Technometrics”, no. 6, pp. 241–252.
Google Scholar

Eurostat (2017a), Compilers guide on European statistics on international trade in goods, 2017 edition, Manuals and guidelines, Publications Office of the European Union, Luxembourg.
Google Scholar

Eurostat (2017b), National requirements for the Intrastat system, 2018 edition, Manuals and guidelines, Publications Office of the European Union, Luxembourg.
Google Scholar

Kruskal W. H., Wallis W. A. (1952), Use of ranks in one‑criterion variance analysis, “Journal of the American Statistical Association”, vol. 47(260), pp. 583–621.
Google Scholar

Markowicz I., Baran P. (2019), Jakość danych dotyczących obrotu towarowego między krajami unijnymi, „Wiadomości Statystyczne”, no. 1, pp. 7–19.
Google Scholar

Pohlert T. (2014), The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR). R package, http://CRAN.R‑project.org/package=PMCMR [accessed: 15.09.2018].
Google Scholar

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Published

2019-07-03

How to Cite

Markowicz, I., & Baran, P. (2019). Quality of INTRASTAT DATA. Comparison Between the ‘Old’ and the ‘New’ EU Member States. Acta Universitatis Lodziensis. Folia Oeconomica, 2(341), 69–80. https://doi.org/10.18778/0208-6018.341.05

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