Administrative Data Used for Short Term Business Statistics by Bente Dyrberg.

Slides:



Advertisements
Similar presentations
Guidelines on Integrated Economic Statistics United Nations Statistics Division Regional Seminar on Developing a Programme for the Implementation Programme.
Advertisements

Eurostat T HE E UROPEAN PROCESS OF ENHANCING ACCESS TO E UROSTAT DATA A LEKSANDRA B UJNOWSKA E UROSTAT.
Input Data Warehousing Canada’s Experience with Establishment Level Information Presentation to the Third International Conference on Establishment Statistics.
Data Sharing Werner Bier Deputy Director-General Statistics European Central Bank Inter-Agency Group on Economic and Financial Statistics (IAG) G-20 Data.
Eurostat Quality assurance for Consumer Prices and MIP Statistics Berthold Feldmann, Aleš Čapek Eurostat.
Integrating a Gender Perspective into Time Use Statistics.
Determination of Administrative Data Quality : Recent results and new developments Piet J.H. Daas, Saskia J.L. Ossen, and Martijn Tennekes Statistics Netherlands.
Results and next steps from the ESSnet Admin Data Alison Pritchard Business Outputs & Developments, Office for National Statistics, UK 4 December 2012.
What is workflow?  A workflow is a structured way of defining and automating structures and procedures within an organization. What is workflow management.
United Nations Expert Group Meeting on Revising the Principles and Recommendations for Population and Housing Censuses New York, 29 October – 1 November.
An Integrated Approach to Economic Statistics “ The Canadian Experience” UNSD – IBGE Workshop on Manufacturing Statistics Kevin Roberts Rio de Janeiro,
Pieter Vlag ESSnet DWH: business register. Outline Central role of the  statistical units,  population frame, which includes number of enterprises,
OECD Short-Term Economic Statistics Working PartyJune Analysis of revisions for short-term economic statistics Richard McKenzie OECD OECD Short.
The Use of Administrative Sources for Economic Statistics An Overview Steven Vale Office for National Statistics UK.
Rationalising Data Collection: Automated Data Collection from Enterprises Seminar on New Frontiers for Statistical Data Collection
Use of administrative data in statistics - challenges and opportunities ICES III End Panel Discussion Montreal, June 2007 Heli Jeskanen-Sundström Statistics.
Work Package 5: Integrating data from different sources in the production of business statistics Daniel Lewis Office for National Statistics (UK)
Using survey data collection as a tool for improving the survey process Silvia Biffignandi, Antonio Laureti Giulio Perani University of Bergamo Istat Istat.
CZECH STATISTICAL OFFICE Na padesátém 81, CZ Praha 10, Czech Republic The use of administrative data sources (experience and challenges)
Eurostat European profiling: a crucial tool in the current European developments on statistical units D. FRANCOZ Eurostat J OINT UNECE/OECD/E UROSTAT MEETING.
Rudi Seljak, Metka Zaletel Statistical Office of the Republic of Slovenia TAX DATA AS A MEANS FOR THE ESSENTIAL REDUCTION OF THE SHORT-TERM SURVEYS RESPONSE.
Dutch Virtual Census Presentation at the International Seminar on Population and Housing Censuses; Beyond the 2010 Round November, 2012 Egon Gerards,
Eurostat Q2014 – Session 35 Quality assurance for Business Statistics in Europe through the ESS.VIP.ESBRs project D. Francoz Eurostat.
1 1 and the consistency between inter- Nordic migration figures Kåre Vassenden Statistics Norway Presentation for the Joint UNECE/Eurostat Work Session.
Emerging methodologies for the census in the UNECE region Paolo Valente United Nations Economic Commission for Europe Statistical Division International.
Quality issues on the way from survey to administrative data: the case of SBS statistics of microenterprises in Slovakia Andrej Vallo, Andrea Bielakova.
"Automated data collection in accommodation statistics: a European overview" Rome, 3 rd December 2012.
Eurostat Overall design. Presented by Eva Elvers Statistics Sweden.
Deliverable 2.6: Selective Editing Hannah Finselbach 1 and Orietta Luzi 2 1 ONS, UK 2 ISTAT, Italy.
Modernisation and Quality of Business Statistics – NSI Perspective Ger Snijkers (Statistics Netherlands) Gustav Haraldsen (Statistics Norway) EESW, 9-11.
6-8 June 2007,Bern prezentacijos data Work Session Convened by the Friends of Chair Group on Integrated Economic Statistics PREZENTACIJOS PAVADINIMAS DEVELOPMENT.
Quality framework for the evaluation of administrative data (to be used for statistics) Piet J.H. Daas, Judit Arends-Tóth, Barry Schouten and Léander Kuivenhoven.
Statistics Portugal « (Quality Rome, 10 July 2008) « Simplified Business Information: « Improving quality by using administrative data in Portugal.
The Dutch Virtual Census based on registers and already existing surveys Eric Schulte Nordholt Senior researcher and project leader of the Census Statistics.
ESSnet on Datawarehousing - the business register Pieter Vlag – Statistics Netherlands.
Revision Project of the Business Register (BR) and Business Statistics in September 2013 Tuula Viitaharju.
Cristina Casciano, Viviana De Giorgi, Filippo Oropallo Istat Division for Structural Business Statistics, Agriculture, Foreign Trade and Consumer Prices.
1 Financial market crisis and the relevance of European Statistics – the ECB perspective Caroline Willeke, Violetta Damia European Conference on Quality.
New sources – administrative registers Genovefa RUŽIĆ.
© Federal Statistical Office Germany, Division IB, Institute for Research and Development in Federal Statistics Sheet 1 Surveys, administrative data or.
Statistics Portugal Methodology and Information Systems Department Information Infrastructure Unit Isabel Farinha and Jorge Magalhães « 21th Meeting of.
Modernisation of Statistics Production Stockholm November 2009 Summary and Conclusions New York 24 February 2010 Mats Wadman Deputy Director General Statistics.
Why register-based statistics? Eric Schulte Nordholt Statistics Netherlands Division Social and Spatial Statistics Department Support and Development Section.
© Federal Statistical Office, IV-A Business Register, Roland Sturm September 2011 Folie 1 Joint UNECE/OECD/Eurostat Meeting of experts on Business Register.
Large Enterprise Management Anna-Greta Erikson Business Surveys Unit.
1 QUALITY IMPROVEMENTS IN CROATIAN BUSINESS REGISTER AND IMPLICATIONS OF REVISION OF NACE Prepared by Zrinka Pavlović and Dubravka Celić Geneva,
Register entries/exits and demographic flows: some comparisons for statistical aggregates Caterina Viviano 18th Roundtable Beijing, China October 2004.
Higher Education Statistics – collection and processing May 11, 2006 Anna Gärdqvist Mats Haglund Statistics Sweden Higher Education Statistics.
The hidden side of successful story – implication of wide use of administrative data sources at national statistical institutes Metka Zaletel, Irena Križman.
1 Statistical business registers as a prerequisite for integrated economic statistics. By Olav Ljones Deputy Director General Statistics Norway
QUALITY ASSESSMENT OF THE REGISTER-BASED SLOVENIAN CENSUS 2011 Rudi Seljak, Apolonija Flander Oblak Statistical Office of the Republic of Slovenia.
Deirdre Giesen & Joep Burger EESW 9-11 September 2013 Measuring and understanding response quality in the SBS questionnaires.
13-Jul-07 State of the art of the ISCO-08 implementation.
An Overview of Editing and Imputation Methods for the next Italian Censuses Gianpiero Bianchi, Antonia Manzari, Alessandra Reale UNECE-Eurostat Meeting.
Are the Standard Documentations really Quality Reports? European Conference on Quality in Official Statistics Helsinki, 3-6 May 2010 © STATISTIK AUSTRIA.
ESSnet project "Automated data collection and reporting in accommodation statistics" Objectives, achievements and results Köln,
1 Statistical Business Register Infrastructure for statistical production systems Regional Seminar on Implementation of 2008 SNA and Supporting Statistics.
Armenia Twinning 2011 Component F – Information Society, 2 – 6 May DEVELOPMENT OF INFORMATION SOCIETY STATISTICS IN LITHUANIA SURVEY ON.
Integration of the collection system and the Business Register system : Lessons learned, benefits achieved & opportunities created September 14, 2011 Session.
Administration of the Statistical Business Register Israel Study visit 22 October 2013 Vibeke Skov Møller Birgit Nielsen.
Kiev 2 nd – 5 th October 2012 Mrs Vibeke Skov Møller The Danish Statistical Business Register: Units, variables and extracts.
Integrating economic statistics in the Netherlands
Establishing a register-based statistical system Example: Population and housing censuses in Norway Training workshop on censuses using administrative.
Business Demography Indicators for the euro area
DGINS 2017 – Budapest September 21st.
Emerging Trends in the Production of Short-term Economic Statistics
Inclusion of all economic sectors
A new fantastic source for updating the Statistical Business Register
Wiesbaden, 24 October, 2007 Svetlana Shutova Statistics Estonia
FRIBS project – progress report
Presentation transcript:

Administrative Data Used for Short Term Business Statistics by Bente Dyrberg

Outline 1. Danish background 2. Advantages for NSI 3. Adm. data in the stat. production 4. Quality aspects 5. Checking administrative data 6. Conclusion

1. The Danish background Adm. reg. used since late 1960’ies Use is still increasing Due to Establishment of central public registers with unique identifiers New Act on Stat. Denmark from 1966

1. Act on Statistics Denmark (1966) Stat. Denmark … will supervise in the establishment and utilisation of central public registers... … which can be used for statistical purposes

1. STS in Denmark 3 registers used for STS-indicators Turnover (M) Employment (Q) Building ((M)/Q) + Traditional questionnaire-based surveys

2. Advantages for NSI’s Administrative sources Cheaper for the NSI’s Reduction of response burden

3. Adm. data in the statistical production Direct as indicators Indirect for checking, grossing up etc. Common framework Great flexibility - tables / service tasks Integration with Business Register

4. Quality aspects Definitions Units : adm. ctr. stat. units Timeliness – fast enough for STS ? The updating of the register Other aspects/risks: changes in adm. rules, other reporting periods, delays in data delivery etc

5. Checking administrative data Quick overall check of the data delivery Automatic editing procedure Selected manual handling (first version) Later versions, more checks Comparison with other statistics Do the figures look sensible ??

6. Conclusion Administrative Registers: Quality aspects have to be considered New quality routines should be built up A usable register can be used directly and indirectly when producing statistics. Economic advantages for NSI’s Reduction of respondent burden