Turnover in services

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency:  STATISTICS AUSTRIA


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

 STATISTICS AUSTRIA

1.2. Contact organisation unit

Directorate “Business Statistics” Trade and Services

1.5. Contact mail address

Guglgasse 13
A-1110 Wien


2. Metadata update Top
2.1. Metadata last certified 07/06/2023
2.2. Metadata last posted 07/06/2023
2.3. Metadata last update 07/06/2023


3. Statistical presentation Top
3.1. Data description

Index of turnover.
The purpose of this indicator is to reflect the short term development of turnover in the relevant categories of NACE Rev. 2: H, I, J, M*, N*. M* and N* defined by the STS-regulation, not the whole section is gathered.
The indicator is based on absolute values in unit 1,000 Euro.

3.2. Classification system

NACE Rev. 2.

3.3. Coverage - sector

The indicators cover economic activities of NACE Rev. 2 sections H, I, J, M (without 70.1, 72 and 75) and N (without 77, 81.1 and 81.3) in the breakdown required by EBS-R.
Turnover for the NACE Sections H, I, J, M, and N are based on a cut-off census. The threshold is set at a yearly turnover of at least 100,000€.

3.4. Statistical concepts and definitions

Generally, the definitions of turnover correspond to those provided for in the "Methodology of Short Term Business Statistics" produced by Eurostat. Turnover excludes VAT and is derived from monthly or quarterly VAT advance return for most of the enterprises; survey data is available for a subsample of enterprises.
The reference period is the turnover flow during the calendar month excluding VAT.

3.5. Statistical unit

Enterprise (= legal unit in the Business Register (BR)) is reporting unit and observation unit.

3.6. Statistical population

The target population are all active enterprises in the BR in NACE Rev. 2 sections H, I, J, M (without 70.1, 72 and 75) and N (without 77, 81.1 and 81.3) at the end of the relevant reference months. The BR covers enterprises with at least one employee or 10,000 Euro yearly turnover. The frame is a file extracted from the BR with every base year change - the frame is updated with births and deaths of enterprises every month. Total population is about 145,000 enterprises.

3.7. Reference area

The geographical area covered is Austria as a whole.

3.8. Coverage - Time

Time series available for all aggregates of NACE Rev. 2 required by EBS-R.
Sections H, I, J, M (without 70.1, 72 and 75) and N (without 77, 81.1 and 81.3):
- From Q1/2018, time series according to the NACE Rev. 2 with base year 2015=100 are available backcasted till 2010
- Time series according to the NACE Rev. 2 with base year 2010=100 are available from Q1/2005 till Q4/2017
- Time series according to the NACE Rev. 2 with base year 2005=100 are available from Q1/2003 till Q4/2012

3.9. Base period

The base year for indices is 2015 since the first reference period 2018.


4. Unit of measure Top

Indices of turnover. No absolute figures are published.


5. Reference Period Top

Quarterly indices are calculated as an average of monthly turnover data.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

The European legal base is the Council Regulation (EU) 2019/2152, partly (because of derogations) the former Council Regulation (EC) No 1165/98 concerning short-term statistics in the current version, the national legal base in Austria is the National Regulation concerning short term statistics in trade and services (BGBl. II Nr. 233/2003 in the current version).

6.2. Institutional Mandate - data sharing

No data are transmitted to other international organisations (except Eurostat).


7. Confidentiality Top
7.1. Confidentiality - policy

The legal base for statistical confidentiality is:
— The general obligation to publish statistics and the strict provision on statistical confidentiality is regulated by the “Federal Statistics Act 2000” ("Bundesstatistikgesetz 2000") in the current version.
— The protection of personal data is covered by the “Data Protection Act 2000” ("Datenschutzgesetz 2000 (DSG 2000)", in the current version).
— National Regulation concerning short term statistics in trade and services (BGBl. II Nr. 233/2003 in the current version, BGBl. II Br. 259/2013).

7.2. Confidentiality - data treatment

Aggregated figures consisting of data of less than 4 enterprises are regarded confidential and therefore not published.
In general published STS aggregates are not confidential.


8. Release policy Top
8.1. Release calendar

A release calendar covering release dates of the first/second half of the year is published on the website of Statistics Austria. News releases are announced in the release calendar as well.

8.2. Release calendar access

https://www.statistik.at/en/medien/release-calendar

8.3. Release policy - user access

Release is simultaneous. Along with the national release on the website of Statistics Austria and the data transmission to Eurostat the most important national users (Austrian Central Bank, Austrian Institute of Economic Research etc.) are informed separately.
No prior access before official data release.
The „Federal Statistics Act 2000“ ("Bundesstatistikgesetz 2000" in the current version) explicitly states in §30 (3) the obligation of Statistics Austria to inform without delay the Federal Ministry responsible for the subject matter concerned about the results of statistical surveys and to publish them simultaneously.
According to the release calendar of Eurostat the data are transmitted to Eurostat.


9. Frequency of dissemination Top

The NACE Rev. 2. Sections H, I, J, M (without 70.1, 72 and 75) and N (without 77, 81.1 and 81.3) are transmitted quarterly to Eurostat and disseminated quarterly to national users.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

In general, for the publication of quarterly indices, a press release is published, featuring the key figures. Press releases are issued online on the website of Statistics Austria at 9 a.m. Austrian local time.

10.2. Dissemination format - Publications

National paper and electronic publications are:
- "Schnellberichte" (Quick Reports): "Schnellbericht 3.3: Konjunkturstatistik Handel und Dienstleistungen";
- "Statistische Übersichten" (Statistical Overviews -Supplement to "Statistische Nachrichten");
- "Statistisches Jahrbuch Österreichs 20xx" (Austrian Statistical Yearbook);
- Website of Statistics Austria: STATISTIK AUSTRIA - Trade, Services - Short Term Statistics.
Variables and breakdown of results as required by EBS-R.

10.3. Dissemination format - online database

The Database STATcube can be found on the Website of Statistics Austria: STATISTIK AUSTRIA - Trade, Services - Short Term Statistics - Stat. Databases (http://statcube.at/statcube/opendatabase?id=dekonjidxdl15)
This Database is updated with every publication and the NACE Rev. 2. levels as presented in point 3.3 are published. The time series goes back till 2005. Gross and calendar adjusted indices are provided as quarterly and yearly values.

10.4. Dissemination format - microdata access

No microdata are available.

10.5. Dissemination format - other

Data are sent to Eurostat.

10.6. Documentation on methodology

Metadata and quality reports:
- Statistical News 10/2013: "Short Term Statistics Trade and Services: Base year 2010 and new variables" (only available in German);
- Standardised metadata and quality report for Short Term Statistics in Trade and Services - (only available in German);
- Conceptual overview available on the website: STATISTIK AUSTRIA - Trade, Services - Short Term Statistics - Further information.

10.7. Quality management - documentation

Metadata and quality reports:
- Statistical News 10/2013: "Short Term Statistics Trade and Services: Base year 2010 and new variables" (only available in German)
- Standardised metadata and quality report for Short Term Statistics in Trade and Services (only available in German)


11. Quality management Top
11.1. Quality assurance

Quality checks and validation of data are done throughout the whole compilation process. This is described in the standardised metadata and quality report for Short Term Statistics in Trade and Services on the website of Statistics Austria.
The chapter “Quality” of this report contains the following points:
— Relevance;
— Accuracy (Sampling Errors, Non-Sampling-Errors, revisions,…);
— Timeliness and punctuality in dissemination;
— Accessibility and clarity of the information;
— Comparability;
— Coherence with other statistics.
Following relevant changes discussions with national experts and the Quality Committee of the Statistical Council of Statistics Austria are held for feedback and modification suggestions.

11.2. Quality management - assessment

Indices are based on reliable data, regular meetings with decision making bodies and users take place. Publication of results is almost punctual.
Further methodological details and other information can be found in point 13.
Coverage of the indices is the whole Austrian territory. Multiple plausibility checks concerning the legitimacy and cohesiveness of the data are done.

Main quality problems consists of unit-non-response (due to the use of administrative data), NACE-classification in the BR and different definitions for VAT and turnover.


12. Relevance Top
12.1. Relevance - User Needs

Short Term Statistics are used by different national and international institutions and non-institutional users like media, enterprises, educational and research institutions and the public.
Examples for national users are federal ministries, political institutions, interest groups and tourism associations but there is also an internal use by other statistics produced by Statistics Austria.
International Institutions are e.g. European Commission, OECD, and the European Central Bank.

12.2. Relevance - User Satisfaction

No index for user satisfaction is available, but there are regular meetings with national experts and essential users to react to new requirements, if these are not in contrast with legal necessities or constraints. In addition a user’s satisfaction survey takes place in periodic intervals.
The survey 2013 has covered trade and services as a whole, ratings were from "very good" to "unsatisfactory" according to Austria's grade system in school.
Actuality was rated mostly "very good" or "good" by users (both clear above 30%, N=24), and periodicity was rated "very good" by more than 70% of the users (N=20). Scope and level of detail was rated "very good" by more of 50% and good by more than 20% (N=20). The availability of data was rated "very good" by more than 70% of the users (N=21), the comprehensibility of presentation and of metadata were rated "very good" by approx. 80% of the users (N=20, N=12). Accuracy was rated "very good" by over 60% and "good" by over 20% (N=22). Comparability was rated "very good" by nearly 60% and "good" by over 25% (N=22).
Every year an advisory board for enterprise statistics is held where concepts and new developments are presented and discussed.

12.3. Completeness

This index is complete, there are no gaps or missing data parts.


13. Accuracy Top
13.1. Accuracy - overall

Concept of a census, therefore no sampling errors.
The following non-sampling error can occur: Due to the linkage of data from the Federation of Social Insurances with the BR and the data from the Contributions to the Family Burden Equalisation Fund (FLAF), a loss of data due to missing linkage can occur. Missing data are imputed. Turnover for the NACE Divisions G45 and G46 and the NACE Sections H, I, J, M, and N are based on a cut-off census. The threshold is set at a yearly turnover of at least 100,000€.
No release of preliminary results.
Detailed information for the non-sampling errors see point 13.3. No release of preliminary results, final results with t+60.

13.2. Sampling error

Not applicable.

13.3. Non-sampling error

Coverage errors: Approximately 90% of the active enterprises in the whole BR can be linked to VAT data. The missing 10% represent only about 2% of total turnover. After t+60 days approx. 88% of total turnover data is available for enterprises in the coverage of STS. The response rate of the sampled enterprises in VAT advance return is about 85%. (mainly small enterprises are missing)
Turnover for the NACE Divisions G45 and G46 and the NACE Sections H, I, J, M, and N are based on a cut-off census. The threshold is set at a yearly turnover of at least 100,000€.
Data collection or access errors: In the case of group taxation, VAT declarations are available for the group head - distribution to different enterprises of the group has to be carried out manually. Dependence on the quality of the BR and the legal frame for timely VAT data has to be considered as well.
Response rate (unit non-response)/ item non-response: Unit non response of VAT advance return- it is assumed that enterprises with a positive development report earlier. As available data is used as basis for imputation of missing data, a more positive result is possible.
In the year 2022 the unit non response rate was 23.0%, this units will be substituted based on the value of the year before (The share regarding the volume of substituted units is smaller).
Editing, coding and imputation errors: In NACE activities with many small enterprises, the index can be influenced by imputation based on the design of the BR (minimum 10,000 Euro turnover per year or at least one employee).
Modelling errors: Slight differences in the definitions of the VAT and turnover from company accounts.
Plausibility checks (approx. 20% of the data are checked) in the course of data editing minimise these effects.
Changes of NACE classification, new enterprises and inactive enterprises are checked for plausibility and impact on results as well.


14. Timeliness and punctuality Top
14.1. Timeliness

Sections H, I, J, M (without 70.1, 72 and 75) and N (without 77, 81.1 and 81.3) 60 days after the end of the reference quarter for all levels of detail according to EBS-R.
Final data are not revised after their first publication.

14.2. Punctuality

All deadlines have been respected.


15. Coherence and comparability Top
15.1. Comparability - geographical

For the whole Austrian territory the same statistical concepts are applied.

15.2. Comparability - over time

Sections H, I, J, M (without 70.1, 72 and 75) and N (without 77, 81.1 and 81.3) according to STS-R:
Quarterly time series with base year 2015 and NACE Rev. 2: from Q1/2010
Quarterly time series with base year 2010 and NACE Rev. 2: Q1/2005-Q4/2017
Quarterly time series with base year 2005 and NACE Rev. 2: Q1/2003-Q4/2012

15.3. Coherence - cross domain

Coherence has to be described in the standardised meta information and quality reports for each statistical product of Statistics Austria.
The most important sources for cross checks are structural business statistics and other statistical products of Statistics Austria e.g. foreign trade statistics, price statistics, VAT statistics, statistics of registration of new and used vehicles, consumer price indices, wholesale price indices, statistics of overnight stays, social security statistics, national accounts; studies from economic research institutes, news releases.
All indices (turnover, employment, hours worked and wage and salaries) are compared to assure consistency of developments.

15.4. Coherence - internal

Internal coherence is assured.


16. Cost and Burden Top

Burden on enterprises is zero because the data is withdrawn from administrative sources and the BR.


17. Data revision Top
17.1. Data revision - policy

Generally, no routine revisions are done, since basic data for calculation of final results are available in time.
Major Revisions like base year changes are done according to Eurostat's requirements.
There is no revision calendar.
Data sent to Eurostat is the same which is published nationally.
The same release policy is applied to national releases and transmissions to Eurostat.

17.2. Data revision - practice

Schedule is based on Eurostat's release calendar.
Benchmarking for the most important aggregates is done in regular intervals.
Results are compared to other relevant internal and external statistics. Differences in definitions and concepts have to be considered in the course of interpretation of results.
Revisions and methodological changes are discussed with all involved decision making bodies in advance and announced simultaneously.
Data are stable.
No regular revisions are planned, revisions will take place when needed. Therefore no MR or MAR can be provided.

Since there are no regular revisions, a calculation of MR or MAR is not possible, furthermore, no information on the size of typical revisions is possible.

In Austria, we calculate the STS SERV indices after 2 months, a revision would only take place if there is an error or a correction in the base year. Therefore, no information about regular revisions is available, because there are no regular revisions.


18. Statistical processing Top
18.1. Source data

Administrative sources (monthly and quarterly VAT advance return from tax authorities) are used for the enterprises in the cut-off census.
The business register is the frame on which the source is based.
Design:
- The main stratification of the population is conducted by 92 economic activities and four groupings of turnover size classes.
- Turnover for the NACE Sections H, I, J, M, and N are based on a cut-off census. The threshold is set at a yearly turnover of at least 100,000€.
- The total size of the cut-off census for Sections H, I, J, M (without 70.1, 72 and 75) and N (without 77, 81.1 and 81.3) according to STS-R) comprises about 145,000 enterprises.
- Slight update with births and deaths of enterprises is done every month. A new sample frame is used with the change of the base year at five year intervals.

18.2. Frequency of data collection

Data are collected monthly. The reference period for the turnover is the whole month.

18.3. Data collection

Data sets with monthly or quarterly VAT advance returns are transmitted from the Tax Authority electronically and linked with the enterprises of the BR. Large enterprises report their monthly turnover using a Web form for data transmission. For purposes of short term statistics these two data sets are combined for further calculation of turnover indices in the relevant categories of NACE.

18.4. Data validation

Validation level 0: Mainly administrative data sources are used so structure of files and format of data are not checked explicitly. In the web data the dimension is checked.
Validation level 1: Every change of NACE Rev. 2. in the most detailed level, new enterprises and inactive enterprises are checked for plausibility and impact. Furthermore considerable value-changes are checked
Validation level 2: The actual reporting period is compared with the last and corresponding reporting period of the last year. If there are any unexpected developments, the enterprise data are checked and possibly changed.
Validation level 3: The indices are compared to comprehend plausible and identify implausible developments. Furthermore, the indices are crosschecked with the number of persons employed of the same NACE Rev. 2. category
Validation level 4: The results are compared with the annual structural business statistics and other statistical products of Statistics Austria e.g. foreign trade statistics, price statistics, VAT statistics.
Validation level 5: The results are cross-checked with publications of other external institutions. Further comparisons are made with studies from economic research institutes and news releases.

18.5. Data compilation

Data transmitted from the tax authorities are linked to enterprises of the BR and extracted for purposes of STS; non-responses are estimated in the following way: missing data for the month t are estimated by multiplying the data of the previous year in the same month (t-12) by a stratum-specific factor. If a value for the same month of the previous year is not available the value of the previous month (t-1) is taken into account. So gross data can be calculated for each category of NACE.
To get an estimator of total turnover the value of each enterprise is multiplied with a stratum-specific grossing up factor (this is the ratio of population size and sample size in each strata). The values are summed up to each relevant category of NACE. The grossed up results are used for the compilation of indices and are not disseminated.
The indices are calculated from the grossed up totals. The indices measure the turnover for each reference period and each subgroup as a percentage of the average value of the base year. Weights are updated in 5-year intervals with every base year change.
The average STS turnover for 2010 is used as weight for index calculation.
Data is converted to SDMX and sent to Eurostat.

18.6. Adjustment

For seasonal and working day adjustment X13-ARIMA Version 1.0 is used. NACE aggregates are calculated by using the indirect method. The model and regressors are fixed in the program once a year, coefficients are estimated whenever new data becomes available.
The calendar adjustment is based on a country-specific calendar. The adjustment is performed within the RegARIMA part of the program, including regressors for leap year. Outlier identification is performed automatically within the program (additive Outliers, Level Shifts and Transitory Changes).
Models/Filters are selected automatically, if the automatic choice is not considerd adequate it is corrected manually; models are fixed for one year, parameters are estimated every time a new value becomes available; the whole series is revised every time a new value becomes available; the seasonal adjustment decomposition (additive vs. multiplicative) is done dependent on the series' characteristics; the series is checked for outliers automatically (level shifts, transitory changes and additive outliers) - if the automatic choice is considered unadequate (visual inspection of the series) or if too many outliers are identified the model is rechecked and/or critical values for outlier identification are adepted; the filter length is chosen automatically, eventually changed manually after inspection of si-ratios; adjustment is done directly at the level of publication with all higher aggregates adjusted indirectly.


19. Comment Top

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