Title of statistical activity: Gender pay gap

Code of statistical activity: 21108

  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.

Enterprise and Agricultural Statistics Department

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

Kai Maasoo

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

Leading Statistician

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.

kai.maasoo@stat.ee

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

+372 625 9327

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.

15/06/2017

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

15/06/2017

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.

Difference in the gross hourly earnings of male and female employees in October by economic activity (identified by an alphabetical code in EMTAK)

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

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

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

Economically active units – enterprises, institutions, organisations (excl. non-profit organisations and foundations with less than 50 employees and sole proprietors without employees)

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

Gender pay gap – gross hourly wages and salaries of male employees – gross hourly wages and salaries of female employees / gross hourly wages and salaries of male employees.

In the context of gender pay gap the gross hourly wages and salaries are calculated without irregular bonuses and additional remuneration.

Males’ and females’ average hourly gross wages and salaries in October – payments to employees for time actually worked divided by hours actually worked.

Number of hours worked – hours actually worked, incl. time spent on tasks such as work preparation, repairing and cleaning equipment and devices, completing job tasks and reports; time spent at the place of work but not worked, e.g. machine stoppages, tea and coffee breaks, and overtime hours, excl. hours paid but not actually worked (vacation and sick time, etc.), lunch, time going to work and home, time spent at acquiring formal education within the adult education system and work-related training (courses, training exercises).

Pay for time actually worked – time-rate and piece-rate pay; additional remuneration for overtime work, shift work, night work and holiday work; additional remuneration for work in difficult and unhealthy conditions, regular additional remuneration for qualifications, language and length of service, etc. This also includes premiums and bonuses (monthly, quarterly and annual bonus, Christmas benefit, cost of living compensation, etc.), if the calculation of these payments is based on the time actually worked.

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

Economic unit

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

Economically active units – enterprises, institutions, organisations (excl. non-profit associations and foundations with less than 50 employees and sole proprietors without employees)

FRAME

List of economically active units, excluding non-profit associations and foundations with less than 50 employees and sole proprietors without employees. 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.

2011–…

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

Not applicable

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

Financial data – euro

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 530/1999 of 9 March 1999 concerning structural statistics on earnings and on labour costs

OTHER LEGAL ACTS

Not available

OTHER AGREEMENTS

Not available

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 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 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.

Annual

10. Accessibility and clarity

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

Not published

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

Not published

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

Data are published under the subjec area “Economy /Wages and salaries and labour costs” 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.

Not used

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

Commission Regulation (EC) No 1916/2000 of 8 September 2000 on implementing Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs as regards the definition and transmission of information on structure of earnings

Commission Regulation (EC) No 1738/2005 of 21 October 2005 amending Regulation (EC) No 1916/2000 as regards the definition and transmission of information on the structure of earnings

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

Data on the population, sample and respondents, and error estimates are planned to be published in the Statistical Database.

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 Social Affairs

Government of the Republic

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.

The error due to probability sampling is estimated and the sampling errors are published in the Statistical Database.

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

Eurostat and the national statistical institutes try to reduce non-sampling errors through continuous methodological and survey process improvements.

14. Timeliness and punctuality

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

The data are published within 181 days of the end of the reference month (T + 181).

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.

The definitions and classifications used in Estonia comply with international definitions and classifications.

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

The data are comparable over time.

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

Data collection for gender pay gap statistics is closely related to other statistics in the same field. Coherence issues (differences in coverage, definitions and/or methodology) should be taken into account when comparing data related to the same variables obtained from different sources (Structure of earnings survey, wages and salaries survey).

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

The outputs of the statistical activity are coherent.

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

Total time of filling in questionnaires of the statistical activity, working days: 394.0

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

Palk, lisa oktoobrikuu kohta 0.5

(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 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

Total population is 98,000 objects. The sample includes 7,000 objects in a month and 12,500 objects in a quarter.

All state and local government institutions and enterprises with at least 50 and more employees are surveyed. For enterprises with less than 50 employees stratified simple random sampling by economic activity is used.

ADMINISTRATIVE DATA

Data from the Estonian Tax and Customs Board employment register are used.

DATA FROM OTHER STATISTICAL ACTIVITIES

Data from statistical activity 21102 “Hourly earnings of male and female employees” and statistical activity 21101 “Wages and salaries“ are used.

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

Data are collected during the three years when data are not collected with the statistical activity 21102, for October.

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 for October are collected with the monthly official statistics questionnaire “Palgalõhe”.

Data from the Tax and Customs Board are received via X-Road and a FTP server.

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

Arithmetic and qualitative controls are used in the validation process, including checking that the population coverage and response rates are as required, comparison with the data of previous periods or other surveys and with administrative data sources.

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

In the case of missing or unreliable data, estimate imputation based on established regulations will be used. The data of the enterprises that did not submit the questionnaire are replaced in the census part.

Variables and statistical units which were not collected but which are necessary for producing the output are calculated. New variables are calculated by applying arithmetic conversion to already existing variables. This may be done repeatedly, the derived variable may, in turn, be based on previously derived new variables.

For statistical units weights are calculated, which are used to expand the data of the sample survey to the total population.

Microdata are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification, and calculating various statistical measures, e.g. average, median, dispersion, etc.

The collected data are converted into statistical output. This includes calculating additional indicators.

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 applicable

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

Not available.