Title of statistical activity: Working Life Survey (until 2016)

Code of statistical activity: 40901

  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.

Methodology and Analysis Department

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

Jaanika Ait

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

Senior Analyst

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.

jaanika.ait@stat.ee

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

+372 625 9392

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.

23/03/2016

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

23/03/2016

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.

Enterprises by group of enterprises and by existence of collective agreement, employees with temporary/fixed-date contract etc.

Employers’ evaluation of the importance to combine work and family life of employees by group of enterprises etc.

Employees by group of employees and by satisfaction with work, satisfaction with possibilities to gain new skills and knowledge at work etc.

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

Classification of fields of education and training 2013

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

Survey covers enterprises, NGOs, state and local government agencies and employed persons of those institutions/enterprises.

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

Collective agreement – voluntary agreement between employees, employees’ association or union and employers, employers’ association or union as well as state agencies or local governments, which regulates labour relations between employers and employees.

Confidential person – a representative of employees who works for the enterprise or institution concerned and is elected by the employees or trade union members of the enterprise or institution.

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

Enterprise

Employee

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

Economically active enterprises with at least 5 employees; and employees of these enterprises

FRAME

List of active enterprises generated from the Business Register for Statistical Purposes. List of employees of enterprises received from the Estonian Tax and Customs Board.

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.

2009, 2015

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.

number, percentage, financial indicators – euro

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

Year

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 ACT

Not available.

OTHER LEGAL ACTS

Official Statistics Act

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 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 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 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 The time interval at which the statistics are disseminated over a given time period.

Over five years

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 heading „Social life/ Worklife quality” in the Statistical Database in 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 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/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.

2009. Estonian Work Life Survey. Methodological Report, Statistics Estonia (2010)

https://www.stat.ee/dokumendid/51262

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

Data on the quality of the population, sample and respondents are 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, 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 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 includes, among other things, 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

Ministry of Economic Affairs and Communications

Users’ suggestions and information about taking them into account are available on the SE website https://www.stat.ee/statistikatood.

12.2. User satisfaction Measures to determine user satisfaction.

Since 1996 Statistics Estonia conducts reputation surveys and user surveys.

All results are available on the website 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 accuracy of source data is monitored by assessing the methodological soundness of data sources and the adherence to the methodological recommendations.

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.

In the Statistical Database standard errors and relative standard errors are published for main indicators of labour force survey.

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

Statistics Estonia try to reduce non-sampling errors through continuous methodological improvements and survey process improvements such as computer assisted data collection, which can help avoiding coding and typing errors.

14. Timeliness and punctuality

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

The data will be released in 2016.

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 data are nationally comparable.

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

The data are comparable with the data of the 2009 Estonian Work Life Survey.

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.

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

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 https://www.stat.ee/dissemination-policy.

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

Not applicable.

18. Statistical processing

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

SURVEY DATA

The sample includes 1,600 institutions/enterprises and 8,000 persons.

ADMINISTRATIVE DATA

Data on the number, sex, age and citizenship of employees are received from the Estonian Tax and Customs Board.

DATA FROM OTHER STATISTICAL ACTIVITIES

Data from the statistical activity 20300 „Annual financial statistics of enterprises” on income, expenditure, fixed assets, labour costs, expenditure on wages and salaries, and training costs of the non-profit sector are used. The information retrieved from the statistical register (statistical activity 20901 „Statistical economic units database”) include the enterprise’s/institution’s commercial register code, economic activity, start of engaging in the economic activity, legal form, type of ownership, legal type and location.

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

Over five years

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

The survey of enterprises is conducted online (CAWI – Computer Assisted Web Interviewing). The survey of employees is first carried out online (CAWI), and then the employees who did not participate in the online survey will be interviewed face-to-face with the help of a laptop (CAPI – Computer Assisted Personal Interviewing).

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 comparison with other data. Before data dissemination, several checks on the internal coherence of the data are carried out.

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.

Variables and statistical units which were not collected but which are necessary for producing the output will be 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.

Weights will be calculated for statistical units and used for expanding sample survey data to the total population. The Labour Force Survey is carried out in two stages, which is why weights are calculated in both stages: first for enterprises/institutions and then for employees. The calibration of weights consists of the following steps: calculation of design weights, compensation for loss, calibration.

Individual data are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification, and calculating various statistical measuring indicators, such as the 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.