Production in industry

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistics Estonia


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 Estonia

1.2. Contact organisation unit

Economic and Environmental Statistics Department

1.5. Contact mail address

Statistics Estonia

51 Tatari Street

10134 Tallinn
ESTONIA


2. Metadata update Top
2.1. Metadata last certified 01/06/2023
2.2. Metadata last posted 01/06/2023
2.3. Metadata last update 01/06/2023


3. Statistical presentation Top
3.1. Data description

Industrial Production index (toodangu indeks).

3.2. Classification system

NACE Rev. 2.

3.3. Coverage - sector

The survey covers NACE Rev. 2 Sections B and C and from Section D Groups 35.1 and 35.3. Data are collected from all enterprises with 20 or more employees and from enterprises with less than 20 employees, whose annual sales exceeded 2,0 million euros. The data were not expanded to the population of enterprises.

3.4. Statistical concepts and definitions

The monthly production inquiry collects the following information:
Industrial turnover;
Stocks of goods;
Goods for own consumption (excluding buildings and structures).
The production index aims to follow the monthly change in the volume of industrial production. For Section C (manufacturing) the production index is compiled from deflated turnover, adjusted for changes in stocks. For Section B (mining) and D (energy) the index is compiled from production measured in physical quantities.
The industrial turnover is the cost of production and industrial services, which were produced by enterprises and which had been realised (sold) and delivered to purchasers in the accounting period regardless of the time when payment for the production was received.

3.5. Statistical unit

Reporting unit - enterprise, observation unit - KAU.

3.6. Statistical population

List of active industrial enterprises from business register for statistical purposes (about 1200 enterprises) with 20 or more employees and those with less than 20 employees whose annual sales exceeded 2,0 million euros.

3.7. Reference area

The whole country is covered.  Activities outside the geographical coverage are included in the data.

3.8. Coverage - Time

The indicator was compiled for the first time from the beginning of 1994 as monthly data. Data were recalculated according to NACE Rev. 2 back to 1998.

3.9. Base period

Data is calculated on the base 2015 = 100.


4. Unit of measure Top

Index.


5. Reference Period Top

Month.


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

Local legal act

https://www.riigiteataja.ee/en/eli/ee/506012015002/consolide/current

Pursuant to the Official Statistics Act, at the request of Statistics Estonia conducting official statistical surveys, respondents are required to submit, by specified due dates, to the extent established by a list of official statistical surveys approved by the Government of the Republic, and the official statistical questionnaires approved by the Minister of Finance and the President of the Bank of Estonia.
For the purposes of the Act respondents are legal persons registered in Estonia, branches of foreign commercial undertakings, state and local government agencies, sole proprietors and natural persons who own immovable property, building or parts thereof.
In the case of failure to submit the data collected by official statistical surveys, a fine is imposed

European Business Statistics Regulation

Regulation (EC) No 2019/2152 of the European Parliament and of the Council of 27 November 2019 on European business statistics, repealing 10 legal acts in the field of business statistics (Text with EEA relevance) 

6.2. Institutional Mandate - data sharing

Data are transmitted to Eurostat


7. Confidentiality Top
7.1. Confidentiality - policy

The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34 and § 35 of the Official Statistics Act.

7.2. Confidentiality - data treatment

The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia: http://www.stat.ee/en/statistics-estonia/about-statistics-estonia/legal-acts

The data are published and transmitted without characteristics that permit identification of the respondents, and classified into groups of at least three enterprises, whereas the share of data relating to each enterprise in aggregate data shall not exceed 90%.


8. Release policy Top
8.1. Release calendar

Notifications about the dissemination of statistics are published in the release calendar, which is available on the website. On 1 October each year, the release times of the Statistical Database, news releases, main indicators by IMF SDDS and publications are announced in the release calendar (in case of publications – the release month).

8.2. Release calendar access

The publication calendar of news releases and the statistical publications are available on the web site of Statistics Estonia www.stat.ee under the heading "Statistics".

https://www.stat.ee/en/calendar

8.3. Release policy - user access

All users have been granted an equal access to official statistics: this means that the dissemination dates of official statistics have to be announced in advance and no user category (incl. Eurostat, state authorities and mass media) can have access to the official statistics (results of official statistical surveys) before other users. Statistical information is first published in the Statistical Database. In case a news release is published based on the same data, the information provided in the relevant news release is simultaneously published in the Statistical Database. Official statistics are available on the website at 8.00 a.m. on the date announced in the release calendar.


9. Frequency of dissemination Top

Month


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

The news release „Production of industrial output and energy” once a month. The news release can be viewed on the website at https://www.stat.ee/en/uudised?area=957&cat=All

10.2. Dissemination format - Publications

Not published

10.3. Dissemination format - online database

Data are published under the heading „Economy/ Industry” in the Statistical Database in https://andmed.stat.ee/en/stat

Data are published at 2-digit level, some activities at 3-digit level of NACE Rev. 2. Data are presented in index form (base year is 2015). Unadjusted, calendar and seasonally adjusted data according to NACE rev. 2 are published since 2000.

10.4. Dissemination format - microdata access

The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34, § 35, § 36, § 37, § 38 of the Official Statistics Act. Access to micro-data and anonymisation of micro-data are regulated by Statistics Estonia’s „Procedure for dissemination of confidential data for scientific purposes”: https://www.stat.ee/en/statistics-estonia/about-us/strategy/principles-dissemination-official-statistics

10.5. Dissemination format - other

Data are sent to Eurostat both to be used in European aggregates as well as to be released as national data.

10.6. Documentation on methodology

A methodological description of the survey is available in the website of Statistics Estonia (ESMS metadata):https://www.stat.ee/en/find-statistics/methodology-and-quality/esms-metadata/22201

 

10.7. Quality management - documentation

The Quality Report sent to Eurostat is available at the address:
http://ec.europa.eu/eurostat/web/short-term-business-statistics/methodology


11. Quality management Top
11.1. Quality assurance

To assure the quality of processes and products, Statistics Estonia applies the EFQM Excellence Model, EU Statistics Code of Practice and the ESS Quality Assurance Framework (QAF). Statistics Estonia is also guided by the requirements provided for in § 7. „Principles and quality criteria of producing official statistics” of the Official Statistics Act.

11.2. Quality management - assessment

The type of survey and the data collection methods ensure sufficient coverage and timeliness. The quality of this indicator is quite good.

Strengths: length of time series since 2000, good consistency with SBS data.

Weaknesses: indices are calculated basing on micro data having non-response about 6,5%.


12. Relevance Top
12.1. Relevance - User Needs

Ministry of Economic Affairs and Communications

Ministry of Rural Affairs

Ministry of the Environment

Ministry of Finance

Eesti Pank (Central bank of Estonia)

Estonian Institute of Economic Research

Federation of Estonian Engineering Industry

Estonian Forest and Wood Industries Association

Association of Construction Material Producers of Estonia

Estonian Food Industry Association

Swedbank

Estonian Furniture Industry Association

Eurostat

12.2. Relevance - User Satisfaction

The news release “Production of industrial output and energy” once a month. The news release can be viewed on the website at  https://www.stat.ee/en/uudised?area=957&cat=All

12.3. Completeness

In compliance with the rules (regulations). All STS requirements are fulfilled.


13. Accuracy Top
13.1. Accuracy - overall

The cut-off survey is used. Sampling error is not measured. The main source of error is response rate about 93,5%. The data for the last two years (for which revised annual data are not yet available) may be revised when the data for the next month are added. The data become final after annual benchmarking that is normally done in February of the year T+2 following the reference year T.

13.2. Sampling error

Not applicable due to cut-off sample. The estimates are not done for small enterprises. Tha sample includes active industrial enterprises from business register for statistical purposes with 20 or more employees and those with less than 20 employees whose annual sales exceeded 2,0 million euros. The index of industrial production covers about 90% production in population.

13.3. Non-sampling error

Non-sampling error is not measured. It is complusory to respond to the survey. The response rate is about 93,5% at the time data are first published and provided to Eurostat. Missing responses are requested by telephone contacts followed up by e-mail reminders. Imputation is used to compensate the non-response; this is made by means of VAT data or previous period replies. The impact of editing, coding and imputation errors are not calculated yet. In the case of imputation, the data are mostly influenced by the differences in definitions between administrative and statistical data.

At the time when data are provided to Eurostat and published nationally, the response rate is the same.

There are negligible non-sampling errors concerning coverage. Improvement actions include registry updates, careful logical and accounting controls and constant contacts with reporting units. The multiply listings are precluded because all enterprises are identified by an unique number. For data collection eSTAT (the web channel for electronic data submission) is used. eSTAT is also used to monitor the completion of questionnaires and includes instructions and arithmetic and logical controls. The questionnaire can not be submited if it is not correctly completed. Therefore, the item non-response occurres very seldom.


14. Timeliness and punctuality Top
14.1. Timeliness

The monthly data and preliminary yearly data are released about 30 days upon the end of the reference month, the end of the reference year (T+30), final yearly data – 430 days upon the end of the reference year (T+430).

14.2. Punctuality

The data have been published at the time announced in the release calendar.


15. Coherence and comparability Top
15.1. Comparability - geographical

The data are comparable with the data of other European Union countries because common methodology, concepts and definitions on short-term statistics are used.

15.2. Comparability - over time

Time series based on the common methodology start from 2000.
In 2008, a new version of the Statistical Classification of Economic Activities in the European Community (NACE Rev. 2) was adopted in the European Union. It is the basis for Estonian Classification of Economic Activities 2008 (EMTAK 2008)).

15.3. Coherence - cross domain

Data are connected with short-term business statistics (STS) statistical activity 20007 “Financial statistics of enterprises (quarterly)” and annual statistics (SBS, Structural business statistics) statistical activity 20300 “Financial statistics of enterprises (annual)” (final annual data of sales and stock of industrial production). The indices are calculated based on the common methodology according to the European Union STS regulation. The results of comparision differ dependent on branches of industry. 

15.4. Coherence - internal

Indices are internally coherent. The internal consistency of the data is ensured by the use of a common methodology for data collection and data aggregation. Higher level aggregations are derived from detailed indices according to pre-defined procedures.


16. Cost and Burden Top

The cost and burden are determined for statistical survey in total and it is not possible to calculate for separate indicators

Cost (NSI) hours per year: 7444(2022) Number includes both Eurostat requirements and national requirements

Burden (respondents) hours per year: 7540 (2022)


17. Data revision Top
17.1. Data revision - policy

Revisions are adjustments of statistical data which are:

a) Planned

Regular (i.e. routine revisions).

Irregular (i.e. major revisions).

b) Unplanned (correction of errors).

Regular revisions are related to the statistics production process – already published data are revised upon the receipt of additional data (preliminary estimates are replaced with final values derived from the data submitted by respondents). This is customary in certain subject areas where preliminary data are published to ensure timeliness.

Irregular revisions are related to methodological improvements – definitions and classifications are changed, the base year is changed, new data sources are introduced etc. Irregular revisions have to be scheduled so that several changes are published at once, i.e. irregular revisions should be as rare as possible.

The discovered errors (excl. misprints) are classified as follows: 

Minor errors – errors that will probably not mislead the general public in the interpretation of the statistical data, because the error is either logically identifiable or statistically not relevant (i.e. within the limits of statistical error); 

Major errors – errors entailing a realistic possibility that the general public will interpret the statistical data incorrectly. The head of the relevant subject-matter department is immediately informed of such errors.

Minor errors are corrected only in the electronic output; in case of printed publications they are not corrected. If a minor error is discovered, the Marketing and Dissemination Department is informed and shall correct the error as soon as possible. In case of electronic publications, the correction is marked with a red asterisk and a note saying “Corrected on dd.mm.yyyy” is added on the relevant page in the publication and also to the description of the product on SE’s website. In case of the Statistical Database, a note saying “The data have been revised on dd.mm.yyyy” is published with the table. Misprints are corrected without adding any notes, if they do not affect the interpretation of statistical data.

Major errors are corrected as soon as possible. In case of electronic publications, the correction is marked with a red asterisk and a note saying “Corrected on dd.mm.yyyy” is added on the relevant page in the publication and also to the description of the product on SE’s website. In case of the Statistical Database, a note saying “The data have been revised on dd.mm.yyyy” is published with the table.

Vintages are stored but not published, they are available by request. No special revision calendar exists and revisions are not published.

Data revision policy is described under item 2.3 of the Dissemination Policy of Statistics Estonia. Notification of corrections:https://www.stat.ee/en/statistics-estonia/about-us/strategy/principles-dissemination-official-statistics. The same revision policy is applied to data realised nationally and transmitted to Eurostat.

17.2. Data revision - practice

Regular revisions of IPI are done every month to get more completed data. Data estimated due to non-response (about 6,5%) are partly replaced by belated questionnaires, new corrected versions from reporting units are taken into consideration too. Regular revisions are quite small and usually do no affect totals.

Every year the data are adjusted with final annual data on the base of statistical activity 20300 „Financial statistics of enterprises” (SBS). Aggregates are recalculated with new weights. Recalculated data are published together with January data. Annual revision for IPI in total industry is usually between 1.5 - 2.0%

Minor detected errors are corrected next month, major errors are corrected as soon as possible.

In case of irregular revisions, related to methodological improvements, users have to be simultaneously notified of planned revisions and the publication of the results. Users have to be notified of the release date of revised data three months in advance.

In case of regular revisions the database note indicates that data for the two last years contain estimates. The last two years data, which are not final may be revised when the data for next month are added.

The quality indicators used in the data revision practice are: MAR (Mean Absolute Revision) and MR (Mean Revision)

The calculated values for the last 36 months monthly IPI index are:

  • Sections B_C_D annual growth rates for original data series (YoY) MR = 0.02910 (2,9%), MAR = 0.015756 (1.6%)
  • Sections B_C_D annual growth rates for calendar/working day adjusted (YoY) MR = 0.028584 (2,9%),  MAR = 0.018658 (1,9%)


18. Statistical processing Top
18.1. Source data

Population of enterprises is about 1200. Data are collected from all industrial enterprises with 20 or more employees and from enterprises with less than 20 employees, whose annual sales exceeded 2,0 million euros. Industrial production output of these enterprises accounted for 90% of the total industrial output. The data were not expanded to the population of enterprises. Enterprises with less than 20 employees are not estimated from the other sources.

18.2. Frequency of data collection

Monthly.

18.3. Data collection

Data are collected through eSTAT (the web channel for electronic data submission). eSTAT is also used to monitor the completion of questionnaires. The questionnaires have been designed for completion in eSTAT by the respondents themselves and they include instructions and controls. The questionnaires and information about data submission are available on Statistics Estonia’s website at https://www.stat.ee/en/submit-data/questionnaires. Data are collected with the monthly statistical questionnaire „Tööstus” ("Industry")

Missing responses are requested by telephone contacts followed up by e-mail reminders. Imputation is used to compensate the non-response; this is made by means of VAT data or previous period replies.

18.4. Data validation

Arithmetic and qualitative controls are used in the validation process, including comparison with other data. Before data dissemination, several checks on the internal coherence of the data are carried out.

 

18.5. Data compilation

Non- response is treated by imputation from the VAT data or from the data of the previous period. The value index is deflated using a producer price index to produce a volume index. The production index is a Paasche chain index. The value added from SBS Y-2 annual survey is used as weights. Weights are changed every year.

18.6. Adjustment

The value index is deflated using a producer price index to produce a volume index. Seasonally adjusted indices and trend figures are calculated using TRAMO/SEATS method. Regression method (JDEMETRA+) is used for working day adjustment. For compiling indices at the higher activity levels, aggregation is made first, then adjustment.

 



Annexes:
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19. Comment Top

Not applicable.


Related metadata Top


Annexes Top