Estimation for Short Term Statistics

• Authors: Dehnel G.
• Languages of publication: EN

Abstracts

EN

Economic processes taking places in the EU markets require systematic changes that will facilitate the international exchange of socio-economic information. All this creates a need for modification of the business statistics information system. System modification is just one element of transformations undertaken by the Central Statistical Office aimed at reforming most of its surveys. These changes focus among other things on exploiting administrative sources for purposes of public statistics. Participation of Poland in the MEETS program offered a unique chance to take steps towards a reform of the present state of business statistics. The results obtained in the MEETS program study was the basis for this article. The objective of the paper was to present the possibility of using administrative registers to short term statistics in the light of DG1 survey.

Keywords

EN

Domain estimation; Short term statistics; Small business statistics

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2012
• Volume: 13
• Issue: 2
• Pages: 287-300

Contributors

author

Dehnel G.

• Poznan University of Economics

References

• BRACHA, C., 1994. Metodologiczne aspekty badania małych obszarów, „Studia i Materiały. Z Prac Zakładu Badań Statystyczno-Ekonomicznych” No. 43, CSO, Warsaw.
• CHAMBERS, R., SAEI, A., 2003. Linear Mixed Model with Spatial Correlated Area Effect in Small Area Estimation.
• Eurarea_Project_Reference_Volume, 2004.
• GHOSH, M., RAO J.N.K., 1994. Small Area Estimation, An Appraisal, „Statistical Science”, Vol. 9, No.1.
• LEHTONEN, R., VEIJANEN, A., 1998. On multinomial logistic generalized regression estimators, Department of statistics, University of Jyväskylä, No. 22, Jyväskylä.
• Report of the MEETS program, 2011. CSO, Warsaw.
• Methodology term business statistics, Associated documents, Luxembourg: Office for Official Publications of the European Communities, 2006.
• RAO, J.N.K., 2003. Small Area Estimation, John Wiley & Sons, Inc., Hoboken, New Jersey.
• SÄRNDAL, C.E., 2007. The Calibration Approach in Survey Theory and Practice, Survey Methodology. Vol. 33. No. 2. 99–119.
• SÄRNDAL, C.E., SWENSSON B., WRETMAN J., 1992. Model Assisted Survey Sampling, Springer Verlag, New York Inc.