Title of statistical activity: Producer price index of industrial output

Code of statistical activity: 20408

  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 and reliability
  14. Timeliness and punctuality
  15. Coherence and comparability
  16. Cost and burden
  17. Data revision
  18. Statistical processing
  19. Comments

1. Contact Individual or organisational contact points for the data or metadata, including information on how to reach the contact points.

1.1. Contact organisation The name of the organisation of the contact points for the data or metadata.

Statistics Estonia

1.2. Contact organisation unit An addressable subdivision of an organisation.

Economic and Environmental Statistics Department

1.3. Contact name The name of the contact points for the data or metadata.

Eveli Šokman

1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".

Leading Statistician-Methodologist

1.5. Contact mail address The postal address of the contact points for the data or metadata.

51 Tatari Str, 10134 Tallinn, Estonia

1.6. Contact email address E-mail address of the contact points for the data or metadata.

eveli.sokman@stat.ee

1.7. Contact phone number The telephone number of the contact points for the data or metadata.

+372 625 9241

2. Metadata update The date on which the metadata element was inserted or modified in the database.

2.1. Metadata last certified Date of the latest certification provided by the domain manager to confirm that the metadata posted are still up-to-date, even if the content has not been amended.

08/05/2018

2.2. Metadata last update Date of last update of the content of the metadata.

08/05/2018

3. Statistical presentation

3.1. Data description Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated.

Producer price index of industrial output

3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.

Estonian Classifcation of Economic Activities (EMTAK 2008) based on NACE Rev. 2

List of Products of the European Community (PRODCOM List)

3.3. Sector coverage Main economic or other sectors covered by the statistics.

Enterprises of the following activities have been covered by the survey:

Mining and quarrying

Manufacturing

Electricity, gas, steam and air conditioning supply

Water supply, sewerage

3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.

Producer price index of industrial output – index that expresses the changes of producer prices of industrial goods manufactured and industrial services sold in Estonia.

3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.

Enterprise

3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.

Enterprises whose main or secondary activity is mining and quarrying; manufacturing; electricity, gas, steam and air conditioning supply; water supply, sewerage

FRAME

List of active enterprises whose main or secondary activity is mining and quarrying; manufacturing; electricity, gas, steam and air conditioning supply; water supply, sewerage. The list is generated from the Business Register for Statistical Purposes.

3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.

Estonia as a whole

3.8. Time coverage The length of time for which data are available.

1992–…

3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.

Starting from 2012, the producer price index of industrial output is published on the base 2010 = 100. To ensure comparability with previous periods, years 2002–2011 have been rebased.

4. Unit of measure The unit in which the data values are measured.

Index is without the unit

5. Reference period The period of time or point in time to which the measured observation is intended to refer.

Month

6. Institutional mandate

6.1. Legal acts and other agreements Legal acts or other formal or informal agreements that assign responsibility as well as the authority to an agency for the collection, processing, and dissemination of statistics.

DIRECTLY APPLICABLE LEGAL ACTS

Council Regulation (EC) No 1165/98 of 19 May 1998 concerning short-term statistics

Regulation (EC) No 1158/2005 of the European Parliament and of the Council of 6 July 2005 amending Council Regulation (EC) No 1165/98 concerning short-term statistics

Commission Regulation (EC) No 1503/2006 of 28 September 2006 implementing and amending Council Regulation (EC) No 1165/98 concerning short-term statistics as regards definitions of variables, list of variables and frequency of data compilation

Regulation (EU) 2015/458 of 19 March 2015 amending Regulation (EC) No 657/2007 implementing Council Regulation (EC) No 1165/98 concerning short-term statistics as regards the establishment of European sample schemes

Regulation (EU) No 461/2012 of 31 May 2012 amending Council Regulation (EC) No 1165/98 concerning short-term statistics and Commission Regulations (EC) No 1503/2006, (EC) No 657/2007 and (EC) No 1178/2008 as regards adaptations related to the removal of the industrial new orders variables

Regulation (EC) No 329/2009 of 22 April 2009 amending Council Regulation (EC) No 1165/98 concerning short-term statistics as regards the updating of the list of variables, the frequency of compilation of the statistics and the levels of breakdown and aggregation to be applied to the variables

Regulation (EC) No 596/2009 of the European Parliament and of the Council of 18 June 2009 adapting a number of instruments subject to the procedure referred to in Article 251 of the Treaty to Council Decision 1999/468/EC with regard to the regulatory procedure with scrutiny

Commission Regulation (EC) No 1178/2008 of 28 November 2008 amending Council Regulation (EC) No 1165/98 concerning short-term statistics and Commission Regulations (EC) No 1503/2006 and (EC) No 657/2007 as regards adaptations following the revision of statistical classifications NACE and CPA

Commission Regulation (EC) No 472/2008 of 29 May 2008 implementing Council Regulation (EC) No 1165/98 concerning short-term statistics as regards the first base year to be applied for time series in NACE Revision 2 and, for time series prior to 2009 to be transmitted according to NACE Revision 2, the level of detail, the form, the first reference period, and the reference period

Commission Regulation (EC) No 657/2007 of 14 June 2007 implementing Council Regulation (EC) No 1165/98 concerning short-term statistics as regards the establishment of European sample schemes

Regulation (EC) No 1893/2006 of the European Parliament and of the Council of 20 December 2006 establishing the statistical classification of economic activities NACE Revision 2 and amending Council Regulation (EEC) No 3037/90 as well as certain EC Regulations on specific statistical domains

OTHER LEGAL ACTS

Not available

OTHER AGREEMENTS

Organisation for Economic Co-operation and Development (OECD)

International Monetary Fund (IMF)

7. Confidentiality A property of data indicating the extent to which their unauthorised disclosure could be prejudicial or harmful to the interest of the source or other relevant parties.

7.1. Confidentiality - policy Legislative measures or other formal procedures which prevent unauthorised disclosure of data that identify a person or economic entity either directly or indirectly.

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 Rules applied for treating the data set to ensure statistical confidentiality and prevent unauthorised disclosure.

The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia: https://www.stat.ee/66485.

8. Release policy Rules for disseminating statistical data to interested parties.

8.1. Release calendar The schedule of statistical release dates.

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

8.2. Release calendar access Access to the release calendar information.

https://www.stat.ee/release-calendar

8.3. User access The policy for release of the data to users, the scope of dissemination (e.g. to the public, to selected users), how users are informed that the data are being released, and whether the policy determines the dissemination of statistical data to all users.

All users have been granted equal access to official statistics: dissemination dates of official statistics are announced in advance and no user category (incl. Eurostat, state authorities and mass media) is provided access to official statistics before other users. Official statistics are first published in the statistical database. If there is also a news release, it is published simultaneously with data 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 The time interval at which the statistics are disseminated over a given time period.

Monthly

10. Accessibility and clarity

10.1. News release Regular or ad-hoc press releases linked to the data.

The news release “Producer price index of industrial output, export and import price index” once a month. The news release can be viewed on the website at https://www.stat.ee/news-releases.

10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.

Eesti Statistika Kvartalikiri. Quarterly Bulletin of Statistics Estonia

10.3. Online database Information about on-line databases in which the disseminated data can be accessed.

Data are published under subject area “Economy / Prices” in the statistical database at http://pub.stat.ee.

10.4. Microdata access Information on whether micro-data are also disseminated.

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 microdata and anonymisation of microdata are regulated by Statistics Estonia’s procedure for dissemination of confidential data for scientific purposes: https://www.stat.ee/dokumendid/51669.

10.5. Other References to the most important other data dissemination done.

Data serve as input for statistical activities 21401 “National accounts (annual)”, 21405 “National accounts (quarterly)”, 21406 “Regional GDP”, 21408 “Supply and use tables”, 22201 “Production indices” and 20405 “Agricultural input price index”.

10.6. Documentation on methodology Descriptive text and references to methodological documents available.

Handbook on Industrial Producer Price Indices (PPI), Eurostat (2012)

Methodology of short-term business statistics. Interpretation and guidelines, Eurostat (2006)

Producer Price Index Manual. Theory and Practice, International Monetary Fund (2004)

10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.

The reports from the Commission to the Council and the European Parliament concerning Short-Term Statistics, PEEI in focus

11. Quality management Systems and frameworks in place within an organisation to manage the quality of statistical products and processes.

11.1. Quality assurance All systematic activities implemented that can be demonstrated to provide confidence that the processes will fulfil the requirements for the statistical output.

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

11.2. Quality assessment Overall assessment of data quality, based on standard quality criteria.

Statistics Estonia performs all statistical activities according to an international model (Generic Statistical Business Process Model – GSBPM). According to the GSBPM, the final phase of statistical activities is overall evaluation using information gathered in each phase or sub-process; this information can take many forms, including feedback from users, process metadata, system metrics and suggestions from employees. This information is used to prepare the evaluation report which outlines all the quality problems related to the specific statistical activity and serves as input for improvement actions.

12. Relevance The degree to which statistical information meet current and potential needs of the users.

12.1. User needs Description of users and their respective needs with respect to the statistical data.

Ministry of Economic Affairs and Communications

Ministry of Finance

Eesti Pank (central bank of Estonia)

Users’ suggestions and information about taking these into account are available on the website of Statistics Estonia at https://www.stat.ee/statistikatood.

12.2. User satisfaction Measures to determine user satisfaction.

Since 1996, Statistics Estonia has conducted reputation and user satisfaction surveys.

All results are available on the website at https://www.stat.ee/user-surveys.

12.3. Completeness The extent to which all statistics that are needed are available.

In compliance with the rules (regulations)

13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
Reliability: closeness of the initial estimated value to the subsequent estimated value.

13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.

The type of survey and the data collection methods ensure sufficient coverage and timeliness.

13.2. Sampling error That part of the difference between a population value and an estimate thereof, derived from a random sample, which is due to the fact that only a subset of the population is enumerated.

Not applicable

13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.

Not measured

14. Timeliness and punctuality

14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.

The data are published 20 days after the end of the reference month (T+20) or on the working day following it (except in February).

14.2. Punctuality Time lag between the actual delivery of the data and the target date when it should have been delivered.

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

15. Coherence and comparability

15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.

Countries can implement different data collection methods (surveys, use of administrative data) and different calculation procedures to enable better use of the data in the country. This may result in data being less comparable between the countries.

15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.

Time series have been calculated according to EMTAK 2008 based on NACE Rev. 2 starting with the year 2002.

15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.

Not applicable

15.4. Coherence - internal The extent to which statistics are consistent within a given data set.

The outputs of the statistical activity are coherent. Higher-level aggregations are derived from detailed indices according to pre-defined procedures.

16. Cost and burden Cost associated with the collection and production of a statistical product and burden on respondents.

Cost of statistical activity 33.6 thousand euros (data for 2018)

Total time of filling in reports of the statistical activity, working days: 270.2

Average time of filling in the reports, hours per report:

Tootjahind 0.6

(data for 2016)

17. Data revision Any change in a value of a statistic released to the public.

17.1. Data revision - policy Policy aimed at ensuring the transparency of disseminated data, whereby preliminary data are compiled that are later revised.

The data revision policy and notification of corrections are described in the dissemination policy of Statistics Estonia at https://www.stat.ee/dissemination-policy.

17.2. Data revision - practice Information on the data revision practice.

The published data may be revised within three months from the end of the reference period, if the methodology is modified, errors are discovered, new or better data become available.

18. Statistical processing

18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.

SURVEY DATA

Population is 2,400 objects. The sample is 530 objects.

An expert sample is drawn based on the share of products and services of the economic activity.

ADMINISTRATIVE DATA

Not used

DATA FROM OTHER STATISTICAL ACTIVITIES

Data from statistical activities 20206 “Energy consumption and production (annual)”, 20300 “Financial statistics of enterprises (annual)”, 20403 “Export Price Index”, 20405 “Agricultural Input Price Index”, 22203 “Manufactured goods and industrial services” and 22303 “Foreign trade” are used.

18.2. Frequency of data collection Frequency with which the source data are collected.

Monthly

18.3. Data collection Systematic process of gathering data for official statistics.

Data are collected and the submission of questionnaires is monitored through eSTAT (the web channel for electronic data submission). The questionnaires have been designed for independent completion in eSTAT and include instructions and controls. The questionnaires and information about data submission are available on Statistics Estonia’s website at https://www.stat.ee/andmete-esitamine (in Estonian).

Data are collected with the monthly statistical questionnaire “Tootjahind”.

18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.

The input data are checked and, if necessary, corrected according to specified rules, and the compliance of calculated statistics with the quality requirements is checked as well: comparisons are made with previous periods, internal coherence, the coverage of the population and the response rate are checked.

18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.

On the bases of collected data Laspeyres-type price indices are calculated. Microdata are aggregated to the required level.

18.6. Adjustment The set of procedures employed to modify statistical data to enable it to conform to national or international standards or to address data quality differences when compiling specific data sets.

Not applied

19. Comments Supplementary descriptive text which can be attached to data or metadata.

Not available