Annex I-IV: Swiss Federal Statistical Office

WI / MON

Annex I-IV: massimiliano.ferrari@bfs.admin.ch

                  Swiss Federal Statistical Office
                  Espace de l'Europe 10
                  CH-2010 Neuchâtel

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors).

SBS covers all activities of the non-financial business economy with the exception of agricultural activities and personal services. Limited information is available on banking, insurance and pension funds.

 Main characteristics (variables) of the SBS data category:

• Business demographic variables (e.g. Number of enterprises)
• "Output related" variables (e.g. Turnover, Value added)
• "Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments)

Statistical Classification of Economic Activities in the European Community (NACE): NACE Rev.1 was used until 2001, NACE Rev. 1.1 since 2002, and NACE Rev 2 is used from 2008 onwards. Key data were double reported in NACE Rev.1.1 and NACE Rev.2 for 2008. From 2009 onwards, only NACE Rev.2 data are available.

The regional breakdown of the EU Member States is based on the Nomenclature of Territorial Units for Statistics (NUTS). Detailed information about the consecutive NUTS Regulations can be found at Eurostat's website

The product breakdown is based on the Classification of Products by Activity (CPA) as stated in the Regulation establishing CPA 2008 and its amending  Commission Regulation (EU) No 1209/2014  (from reference year 2015 onwards)

The SBS coverage was limited to Sections C to K of NACE Rev.1.1 until 2007. Starting from the reference year 2008 data is available for Sections B to N and Division S95 of NACE Rev.2.

The statistical characteristics are defined in Annex I of Commission Regulation (EC) No 250/2009

Entreprise (legal units). Statistical units as not moved to the new European definition yet: enterprise units is our legal units.

Survey Concept:
Sample survey combined with administrative information
 
administrative sources:

SFO Business Register (Activity Code, Size of Firm, number of employees, legal Form)
 
The extent to which the administrative source are used:
• data source for imputation in case of non-response.
• data source for calibration (calage sur marge) to optimize inference from survey results

Variable used for identifying principal activitiy:
Full time equivalent (up down the NACE 2-digit)

Frequency of updating the unit's pricipal activity:
• Profiling are every quarterly updated
• The 25% of Non-Profiling are yearly updated, in order to have the actualization of 100% of the frame every 4 years

Frequency of updating business register:
• New Register Enterprise: yearly
• Deleting Register Enterprise: yearly
• Number of employed: yearly

Switzerland

1998-2019

Not applicable.

• Number of enterprises and number of local units are expressed in units.
• Monetary data are expressed in thousands of CHF (converted from SBS into EUR)
• Employment variables are expressed in units.
• Per head values are expressed in thousands of CHF per head. (converted from SBS into EUR)

Ratios are expressed in percentages.

2020

Year 1995 was the first year for the implementation of the Council Regulation No 58/97 (SBS Regulation).

The Council Regulation No 58/97 has been amended three times: by Council Regulation No 410/98, Commission Regulation No 1614/2002 and European Parliament and Council Regulation No 2056/2002. As a new amendment of the basic Regulation it was decided to recast the Regulation No 58/97 in order to obtain a new "clean" legal text. The European Parliament and Council Regulation No 295/2008 was adopted on 14/02/2008 and the provisions of this Regulation are applicable from the reference year 2008. Regulation No 295/2008 has been amended by Commission Regulation (EU) No 446/2014.

Not applicable.

Internal paper

Dominance Turnover > 60% (B-Flag), Number of Observation > 5 (A-Flag)

Data ready to eurostat delivery T+18.

Swiss publication T+21.

No other release information published.

none

none

Annual

No regular no news release

The publication is available on our website (Wertschöpfungsstatistik | Bundesamt für Statistik (admin.ch)) in French and German. The publications include biennial data for comparison and are available from 2009.

Swiss publication available : T+21.

Electronic Publications

None

None

Methodology see URL

internal paper

ref. URL below

Good

National Accounts

Central Banks

Other Federal Departments

Entreprises

University

No actions regarding users satisfaction

Conform to SBS Tehcnical disclosure

Details of accuracy are resumed in paragraphs 13.2 and 13.3.

Overall accuracy are guaranteed.

Bias:

• Potential Bias coming from Robustification and non-response
• Small bias (with a limited effect in the overall accuracy) of the estimate

Sample survey

Stratification criteria:
Activity (NACE-2digit) and Employement size clas
 
Threshold value:
cut off number of persons employed >= 3

Statistical Population (SBS CH-Population):
144'048

Sample size:
19'291

Responses:
12'257

Coffecients of Variation: CV computations (Horvitz-Thompson variance):

ref. Annexes :QAG, QAS, Q1B, Q3B, Q2B, Q4B

Methods used for taking into account the unit non -response:

• Weighting: Correction non-response + calibration
• Imputation: BigOne Missing + Consolidated Group responses

Mesures taken for minimising the unit non-response:

• BigOne Listing
• two reminders
• one last telephone reminder

Method use for Quality Review purpose:

• number of persons employed (see Annex QN)

Bias:

• Potential Bias coming from Robustification and non-response
• Small bias (with a limited effect in the overall accuracy) of the estimate

Impact of the imputation:

• Not important

Coverage errors - Frame: 

• Low

Out-of-scope units: 

• For each survey’s year is used an updated sampling frame and an updated sample. Assuming that the sampling frame is correct, this method should almost avoid to have out-of scope units.

Data-collection: T14

Dissemination in the country: T18

any

none

2009-2019

none

-

Not available

Internal Paper

last revision on 2009

Survey Concept:
Sample survey combined with administrative information
 
Survey:
stratified

Stratification criteria:
Activity (NACE-2digit) and Employement size clas
 
Threshold value:
cut off number of persons employed >= 3

Statistical Population (SBS CH-Population):
144'048

Sample size:
19'291

Responses:
12'257
 
administrative sources:
SFO Business Register (Activity Code, Size of Firm, number of employees, legal Form)
 
The extent to which the administrative source are used:
• data source for imputation in case of non-response.
• data source for calibration (calage sur marge) to optimize inference from survey results

Variable used for identifying principal activitiy:
Full time equivalent (up down the NACE 2-digit)

Frequency of updating the unit's pricipal activity:
• Profiling are every quarterly updated
• The 25% of Non-Profiling are yearly updated, in order to have the actualization of 100% of the frame every 4 years

Frequency of updating business register:
• New Register Enterprise: yearly
• Deleting Register Enterprise: yearly
• Number of employed: yearly

Annual data collection

Questionnaires used:
5 types of qustionnaries used

Response Channel:
Paper, electonical paper (eSurvey)

Survey procedure:
All respondants contacted with a paper-letters with questionnaires-papers included

Survey cycle:
1) Written-Invitation to participate
2) First remind (written)
3) Second remind (written)
4) Third remind - Phone call to all missing units

Validation rules:
• eSurvey - Respondents rules outside production Databank: First check rules are directly done at the respondent level, before the questionnaire upload into Databank
• Paper - Respondents rules into production Databank: Second check rules are directly done after upload Databank
• Phone call to respondents: in order to validate if data's are not consistent
 
Micro data's rules:
• checked-out paper: Overview after validation with t-1 values (if existing)
• Periodical check micro data's: 3-time every year for global plausibility

Macro data's rules:
• Extrapolated and Not-extrapolates check
• Final Plausibility check

• Consolidated Group Responses: split by proportional number of persons employed

• BigOne Missing: based on previous year data

• Structural Missing due to enterprise size (Regression Model in order to transform reduced questioners into detailed questioners)

none

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