An Assessment of Data Coherence in the Area of Economic Performance of European Countries Based on the Industrial Production Index
Additional contact information
Jacek Kowalewski: Urząd Statystyczny w Poznaniu; Uniwersytet Ekonomiczny w Poznaniu
Collegium of Economic Analysis Annals, 2018, issue 49, 191-204
Short-term statistics, which is part of enterprise statistics, provide quick information about the state of the economy and its key sectors. In the European context, the system of short-term statistics is coordinated by Eurostat, while national statistical institutes of individual member states are responsible for providing estimates of shortterm indicators. The provision of coherent statistics is one of the major challenges facing NSIs. The degree of data coherence can be assessed in terms of methodology, distribution of information or actual results. The article describes an attempt to assess the coherence of economic performance statistics for European countries, which is based on the industrial production index (January 2005?May 2017). Time series data was analysed using Theil coefficients and dendrograms were used to identify clusters.
Keywords: European Statistical System; short term statistics; Industrial Production Index; Theil coefficient; data integrity (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z49_14.pdf Full text (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:sgh:annals:i:49:y:2018:p:191-204
Access Statistics for this article
Collegium of Economic Analysis Annals is currently edited by Joanna Plebaniak, Beata Czarnacka-Chrobot
More articles in Collegium of Economic Analysis Annals from Warsaw School of Economics, Collegium of Economic Analysis Contact information at EDIRC.
Bibliographic data for series maintained by Michał Bernardelli ().