Implementation of NACE rev.2 in short –term economic statistics: what did we do in practice? Leendert Hoven Statistics Netherlands presentation prepared.

Slides:



Advertisements
Similar presentations
National Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics in Turkey Derya TUNCER 10 September 2013 Ankara.
Advertisements

Goods for Processing / Toll Processing … a pragmatic approach What is toll processing? Why is toll processing used? What is the problem? How has ONS dealt.
Some considerations on developing a DWH for SBS estimates Orietta Luzi – Mauro Masselli Istat - Italy march 2013.
Christine PINEL Insee, France July, 9th 2008 Implementation of the NACE Rev.2 in the French structural business statistics and data back-casting method.
The revision of ISIC, NACE and related classifications Joint UNECE/Eurostat/OECD Meeting on National Accounts Geneva, April 2006.
The introduction of new classifications of economic activities and products in Ukraine Workshop on International Classification Chisinau March 2013.
Backcasting National Accounts Data Examples from United States Experience Brent Moulton Advisory Expert Group on National Accounts Washington.
Turnover in the Wholesale Trade Jonas Färnstrand Statistics Sweden
To be presented at the UN workshop before the CIRET conference in Hangzhou. The views expressed in this presentation are those of the authors.
United Nations Statistics Division Backcasting. Overview  Any change in classifications creates a break in time series, since they are suddenly based.
Regional Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics Ebru ŞEN September 2013 Ankara - Turkey.
United Nations Statistics Division Recoding the business register to ISIC Rev.4.
Components of Time Series, Seasonality and Pre-conditions for Seasonal Adjustment Anu Peltola Economic Statistics Section, UNECE UNECE Workshop on Short-Term.
Eurostat Repeated surveys. Presented by Eva Elvers Statistics Sweden.
Speeding up the unit value process Nordic seminar May 2014 Lucie Nan and Herbert van Willenswaard Bridging the gap between model prices and unit.
Statistik.atSeite 1 Implementation of NACE Rev. 2 at the national level Norbert Rainer.
Not our data, but we use it in research Wietse Dol, LEI-WUR 6 October 2014.
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.
12th Meeting of the Group of Experts on Business Registers
OECD Short-Term Economic Statistics Working PartyJune Establishing guidelines for creating long time series for short-term economic statistics.
OECD Short-Term Economic Statistics Working PartyJune Maintaining long time series through industry classification changes Richard McKenzie.
10 September 2009 OECD STESEG Introducing NACE rev 2 in EU Short-term business Statistics Brian Newson Head of STS unit Eurostat.
United Nations Statistics Division/DESA International Recommendations for the Index of Industrial Production (IIP)
1 Turnover/output measures in the telecommunication industry in Norway 23 rd Voorburg Group Aguascalientes, Mexico September 2008 Mona Irene Andersen.
REPUBLIC OF BELARUS EXPERIENCE OF BELARUS IN THE NATIONAL ADAPTATION OF CLASSIFICATIONS OF ECONOMIC ACTIVITIES Olga Pintchuk, Chief of the department of.
The Dutch Virtual Census based on registers and already existing surveys Eric Schulte Nordholt Senior researcher and project leader of the Census Statistics.
Backcasting United Nations Statistics Division. Overview  Any change in classifications creates a break in time series, since they are suddenly based.
12 October 2009 EU-OECD Workshop Introducing NACE rev 2 in EU Short-term business Statistics Brian Newson Head of STS unit Eurostat.
Joint OECD / European Commission workshop on international development in business and consumer tendency surveys Nov Task force on improvement.
Impact of updating weights on tracking performance and volatility: Industry survey G. Bruno, L. Crosilla, P. Margani, A. Righi EU Workshop on Recent Developments.
Turnover for the Commercial and Industrial Machinery Repair and Maintenance Sector in Sweden Johan Åhman
Ketty Attal-Toubert and Stéphanie Himpens Insee 22nd of June, 2011 An Overview of seasonal adjustment in the short term statistic department.
1 QUALITY IMPROVEMENTS IN CROATIAN BUSINESS REGISTER AND IMPLICATIONS OF REVISION OF NACE Prepared by Zrinka Pavlović and Dubravka Celić Geneva,
Developing and applying business process models in practice Statistics Norway Jenny Linnerud and Anne Gro Hustoft.
FROM ISIC 3.1 TO ISIC 4: The Cayman Islands Experience Workshops on the 2008 System of National Accounts (SNA) Basseterre, St Kitts & Nevis December 11.
Speeding up the unit value process Nordic seminar May 2014 Lucie Nan and Herbert van Willenswaard Bridging the gap between model prices and unit.
Preparing for A Strategy for Change Based on Previous Experiences Steve Vale Office for National Statistics, UK.
SHORT-TERM STATISTICS Eurostat D3 The introduction of base year 2005 and NACE Rev. 2 in STS OECD Short-term Economic Statistics Working Party (STESWP)
Workshop on International Classifications Kazakhstan March 2013, Chisinau, Moldova.
Workshop on International Classifications Armenia March 2013, Chisinau, Moldova.
Backcasting the future Gary Brown Office for National Statistics, UK.
Agenda item: 14 FUTURE STESWP WORK OVER THE NEXT TWELVE MONTHS OECD Short-term Economic Statistics Working Party (STESWP) Paris June 2007.
What is data? Wietse Dol, LEI-WUR 13 November 2012, 9.40 – 10.25, C435 Forumgebouw.
ESDS Seminar Apr The EU Labour Force Survey Arturo de la Fuente, Estat-F2 “Labour Market Statistics”
ПРОБЛЕМЫ ПЕРЕСЧЁТА КВЕД 2005 – КВЕД 2010 Bronislava Kaminskienė.
Producer Price Indices in Denmark - Producer price index for commodities (PPI) March 20 th 2015.
Regional Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics Yaşar Pınar ÖZMEN September 2013 Ankara.
Workshop on classifications Moldova, Chisinau, March 2013
Index of Industrial Production: Methods of Compilation
Presentation by Eurostat
Quality Aspects and Approaches in Business Statistics
ADMINISTRATIVE DATA IN ANNUAL BUSINESS STATISTICS OF LATVIA
SHORT TERM INDICATORS IN THE SERVICE SECTOR
ECONOMIC and SOCIAL CLASSIFICATIONS Introductory course Day 2 – second afternoon session PRODCOM Marie-Madeleine Fuger INSEE – France Hans Van Hooff CBS.
(an exercise for the reference year 2012)
Statistical Office of the Republic of Slovenia
Italian situation in the following areas:
A New Business Statistics in Finland - Quarterly Investments
United Nations Statistics Division
Annual routines with chaining
DEVELOPMENT OF IMPUTATION MODEL FOR SMALL ENTERPRISES
ESTP COURSE ON ECONOMIC AND SOCIAL CLASSIFICATIONS Introductory course Day 2 – second afternoon session PRODCOM Marie-Madeleine Fuger INSEE – France.
Implementation of NACE Rev. 2
ECONOMIC AND ACTIVITY CLASSIFICATIONS
Zsófia Ercsey - KSH – Hungary Marie-Madeleine Fuger - INSEE – France
Prodcom Working Group September 2014
Isabelle Rémond-Tiedrez European Commission, Eurostat
Using JDemetra+ at STATEC
Preparing for A Strategy for Change Based on Previous Experiences Steve Vale Office for National Statistics, UK.
Zsófia Ercsey - KSH – Hungary Marie-Madeleine Fuger - INSEE – France
Presentation transcript:

Implementation of NACE rev.2 in short –term economic statistics: what did we do in practice? Leendert Hoven Statistics Netherlands presentation prepared for the OECD STESEG meeting September 2009

Methods for backcasting 1.Recoding key 2.Micro approach 3.Macro approach 4.Combined micro and macro approach

1. Recoding key On lowest aggregation level: Entire old code => new code a.b.c.d Method can only be applied for 1-to-1 and many-to-1 changes

2. Micro approach (1) Method: repeat entire production process starting from the micro level using new classification Needs: revised (double) classification for –each statistical unit –every period in the time series

2. Micro approach (2) Advantages –method can cope with all transition types –exact relation between old and new results (at least in theory) Disadvantages –time consuming –differences may occur as a result of outlier treatment, imputation for non-response

3. Macro approach (1) Method: revision on aggregate levels with an initial transition matrix Needs: transition matrix based on microdata

3. Macro approach (2) Advantages –method can cope with all transition types –limited amount of work Disadvantage –method is based on assumptions that become more disputable when the length of the series increases

4. Combined micro and macro possibilities: –micro approach at the beginning and at the end of the period with macro approach in between. –linear interpolation –time dependent interpolation –micro approach for limited number of consecutive periods to determine structural patterns in transition matrix

What did we do in practice? (1) Micro approach for turnover of: – industry; – telecommunication; – accounting, tax consultancy and administration; –Management and business consultancy. Macro approach for: –turnover of all other industries; –index of industrial production, using the conversion matrix for December For the calculation of the conversion factors, the number of employees was used.

What did we do in practice? (2) The combined micro and macro approach was not used. The required microdata were not available (or not considered enough reliable), or they were available over the whole period, in case the micro approach was used.

Micro approach for the industry Monthly turnover statistics based on cut-off sample (all units with more than 20 employees) All units (approx 6000) were recoded according to the new classification. 1-to-1 relation for approx 4000 units; remaining units more difficult (1-to-many, many to many); information from Prodcom was used. Dealing with business dynamics proved to be time and resource consuming