Jacek Kowalewski , Monika Natkowska
ARTICLE

(Polish) PDF

ABSTRACT

Short-Term Statistics (STS) deals with collecting, compiling and providing quick and multi-domain information about economic activity.Within the organizational system of surveys in Polish official statistics, conducting STS surveys is the task of the Statistical Office in Poznań, which specializes in this field. The main source of STS data is the survey of economic activity, code-named DG-1, which covers over 30 thousands reporting units every month. The system of data processing in DG-1 is very complex and involves combining data from other surveys, generalizing and converting data to constant prices. Faced with the necessity to reduce the response burden and given modern advances in computer and statistical techniques, we are obliged to continue our efforts at improving the organization of surveys. One step in this process is compiling “A Map of Short- Term Statistics”, which enables us to determine how input data are processed into output information and to identify users of statistical information, distribution channels and data release deadlines. This article provides an example of how the Map can be used in the process of optimizing statistical surveys.

KEYWORDS

short-term statistics, business statistics, survey of economic activity, users of statistical information, survey optimization, data release deadlines

REFERENCES

[1] Eurostat (2006), Methodology of short-term business statistics. Interpretation and guidelines, European Communities, Luxembourg: Office for Official Publications of the European Communities.

[2] Eurostat (2012), Short-term business statistics, http://epp.eurostat.ec.europa.eu/portal/page/portal/short term business statistics/introduction

[3] GUS (2010), Założenia i wytyczne do system informacji o jednostkach prowadzących działalność gospodarczą na podstawie danych zawartych w sprawozdaniu miesięcznym DG-1 w 2010 r.

[4] Kowalewski J., (2010), Model optymalizacji badań statystycznych, [w:] Prace Statystyczne i Demograficzne, red. I. Roeske-Słomka, Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu, Zeszyt naukowy 133/2010.

[5] Regulation (EC) No 1158/2005 of the European Parliament and of the Council amending Council Regulation (EC) No 1165/98 concerning short-term statistics.

[6] Sundgren B., (2003), Developing and Implementing Statistical Metadata Systems. A Network of Excellence for Harmonising and Synthesising the Development of Statistical Metadata, EPROS Project Number IST-1999-29093, dostępny w Internecie: www.epros.ed.ac.uk/metanet/deliverables/D6/IST-1999-29093-D6.

[7] Stefanowicz B., (2007), Informacyjne systemy zarządzania. Przewodnik. Szkoła Główna Handlowa, Warszawa.

[8] Willeboordse A. (ed.), (1997), Handbook on Design and Implementation of Business Surveys, Eurostat, Luxembourg.

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