ENBES, the European Network for Better Establishment Statistics, is dedicated to improving cooperation on methodology, theory and applications within European establishment statistics (statistics about, and for, businesses and other forms of corporate units).
[no-lexicon]This leaflet provides you condensed information on the ESS.VIP project "The European System of interoperable Business Registers (ESBR
[no-lexicon]During the last period 2012 -2014 an MBGA was set up with a CBS as coordinator ans INE PT as new partner in place of Statistcs Estonia.
The EuroGroups Register (EGR) is the European statistical register on multinational enterprise groups.
The ESSnet EGR is responsible to develop the methodology and the technical specifications for the EGR system that is administered by Eurostat.
Presentation of the ESSnet EseG project:
Following a call for grant by Eurostat, an ESSnet coordinated by INSEE was launched in order to elaborate in two years a European socioeconomic classification. The grant agreement was signed on October 21st 2011 between Eurostat and the NSIs from France, Italy, the Czech Republic and Hungary.
The main objectives for this project are the identification of best practices and the development of common methodology and ESS guidelines supporting the production of business statistics aiming at reducing respondent burden and fostering efficiency and integration of processes.
Main objectives: A. To define the feasibility and the scope of ‘profiling’ large and complex MNEs;
B. The development of a common conceptual framework, methodology , rules and standards for ‘profiling’;
C. The development of process descriptions, tools, operational guidelines and quality assurance of profiling
[lexicon]The overall objective of the ESSnet is to strengthen ESS capacity (conceptually and methodologically) to measure economic globalisation and the globalisation of business and to concretely establish statistical evidence on the increasingly globalised ways of doing business and organisation of the enterprises and the impacts on the possibilities for Europe to create new jobs and
The main objectives for this project are the identification of best practices and the development of common methodology and ESS guidelines supporting the production of business statistics aiming at reducing respondent burden and fostering efficiency and integration of processes.
The main objectives of this project are to explore the possibilities of the use of admin data for business statistics, to make best practices in this area available to the NSIs, and to prepare recommendations on the efficient ways of producing business statistics by using data that are already available in the economy.
These pages constitute the Handbook on Methodology of Modern Business Statistics; it contains contributions from several European national statistical institutes. The handbook covers all statistical business process steps.
Administrative data are used more and more in official statistics as a replacement for survey data.
Guarnere U., Variale R. Estimation from contaminated multi-source data based on latent class models. Statistical Journal of the IAOS, vol. Preprint, no. Preprint, [no-lexicon]pp[/no-lexicon]. 1-8, 2015
Estimation of bias and variance of the statistic of interest.