Title of statistical activity: Continuing Vocational Training Survey (enterprise survey)

Code of statistical activity: 40305

  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.

Kaire Raasik

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.

kaire.raasik@stat.ee

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

+372 625 8483

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.

Enterprises providing continuing vocational training by economic activity and size class of enterprise

Persons employed in training enterprises and hours worked in training enterprises by economic activity and size class of enterprise

Enterprises planning manpower and skills of employees by economic activity and size class of enterprise

Enterprises with a specific training budget, training plan and internal training centre by economic activity and size class of enterprise

Enterprises providing continuing vocational training courses by economic activity and size class of enterprise

Participants in continuing vocational training courses by economic activity and size class of enterprise

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.

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

Mining

Manufacture of food products, beverages and tobacco products

Manufacture of textiles and wearing apparel; manufacture of leather and related products

Manufacture of paper and paper products; printing and reproduction of recorded media

Manufacture of coke and refined petroleum products; manufacture of chemicals and chemical products; manufacture of basic pharmaceutical products and pharmaceutical preparations; manufacture of rubber and plastic products; manufacture of other non-metallic mineral products

Manufacture of basic metals; manufacture of fabricated metal products, except machinery and equipment

Manufacture of computer, electronic and optical products; manufacture of electrical equipment; manufacture of machinery and equipment n.e.c.; repair and installation of machinery and equipment

Manufacture of motor vehicles, trailers and semi-trailers; manufacture of other transport equipment

Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials; manufacture of furniture; other manufacturing

Electricity, gas, steam and air conditioning supply; water supply; sewerage, waste management and remediation activities

Construction

Wholesale and retail trade and repair of motor vehicles and motorcycles

Wholesale trade, except of motor vehicles and motorcycles

Retail trade, except of motor vehicles and motorcycles

Transportation and storage

Accommodation and food service activities

Information and communication

Financial service activities, except insurance and pension funding; insurance, reinsurance and pension funding, except compulsory social security

Activities auxiliary to financial services and insurance activities

Real estate activities; professional, scientific and technical activities; administrative and support service activities; arts, entertainment and recreation; other service activities

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

Enterprise – an organisational unit producing goods or services, the smallest combination of legal units, which benefits from a certain degree of autonomy in decision making, especially in the allocation of its resources. An enterprise performs one or more activities in one or more places. An enterprise can be one legal unit.

In-service training – training measures or activities (incl. formal education) that an enterprise finances either partially or entirely for its employees (paid study leave and enabling to leave for school during paid working hours are also regarded as partial financing). In-service training is planned in advance and has a specific purpose. Measures or activities that are financed entirely by Töötukassa (the Estonian Unemployment Insurance Fund), other public institutions or the employees themselves are not included. In-service training can be divided into internal and external in-service training courses and other ways of training. Training of apprentices/trainees is not considered to be in-service training.

Principal activity of the enterprise – the activity of the enterprise that consumes the biggest number of working hours. The principal activity of an enterprise is coded according to a 5-digit code of the Estonian Classification of Economic Activities (EMTAK).

The number of employed persons or the number of people working in an enterprise – the number of all persons working at the enterprise irrespective of the length of their working week.

Employed persons are:

1. the owners working in the enterprise and their family members working without pay;

2. full-time or part-time employed persons who are on the payroll;

3. persons working outside the enterprise (e.g. marketing personnel) but belong to the staff of the enterprise and are on the payroll;

4. persons who are temporarily absent from work (on sick leave, paid leave, study leave, strike, etc.);

5. seasonal workers, apprentices (trainees) and home workers, who are on the payroll;

6. persons working under a contract for services.

Unpaid working family members are persons who live with the owner of the enterprise and regularly work for the enterprise, but who have not signed a work contract and who are not paid for their work. This category includes only these persons, who do not belong on the payroll of another enterprise as full-time workers.

Employed persons do not include employed persons of other enterprises who operate in the enterprise in question by performing orders, or the persons who are absent from work for a long period (on parental leave, in compulsory military service, etc.), who have been absent and have not received pay throughout reference period.

The number of participants of in-service training – a participant of a training course is a person who has participated at least in one in-service training course in the reference period. Every person can be counted only once regardless of the number of times he or she has participated in the in-service training courses. Thus, if an employee has taken part in two external training courses and one internal training course, he or she will be considered as one participant.

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 with at least 10 employees and whose main activity is mining; manufacturing; electricity, gas, steam and air conditioning supply; water supply, sewerage, waste management and remediation activities; construction; wholesale and retail trade and repair of motor vehicles and motorcycles; transportation and storage; accommodation and food service activities; information and communication; financial and insurance activities; real estate activities

FRAME

List of active enterprises whose main activity is mining; manufacturing; electricity, gas, steam and air conditioning supply; water supply, sewerage, waste management and remediation activities; construction; wholesale and retail trade and repair of motor vehicles and motorcycles; transportation and storage; accommodation and food service activities; information and communication; financial and insurance activities; real estate activities. 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.

1999; 2005; 2010

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.

Enterprises – number

Employees – number

Hours worked – number

Share of enterprises – percent

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 ACTS

Regulation (EC) No 1552/2005 of the European Parliament and of the Council of 7 September 2005 on statistics relating to vocational training in enterprises

Regulation (EC) No 452/2008 of the European Parliament and of the Council of 23 April 2008 concerning the production and development of statistics on education and lifelong learning

OTHER LEGAL ACTS

Not available

OTHER AGREEMENTS

Statistical Office of the European Union (Eurostat)

Organisation for Economic Co-operation and Development (OECD)

International Labour Organization (ILO)

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.

Over five years

10. Accessibility and clarity

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

The news release is published when new data are released.

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 subject area “Social life / Education” 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.

Continuing Vocational Training Survey MANUAL, Eurostat

https://circabc.europa.eu

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

Quality Report corresponding to requirements is sent to Eurostat

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 Education and Research

Ministry of Social Affairs

Ministry of Economic Affairs and Communications

State authorities – for analysing the current situation, developing action plans and policies

Local governments – for analysing the current situation, developing action plans

Research and educational institutions, libraries – for doing research and analyses, disseminating statistical information

Media – for disseminating statistical information to the general public

Companies, associations, foundations – for analysing the current situation, determining trends and making projections

International organisations and Eurostat – for assessing and analysing the situation in Estonia, developing international policies

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.

The data are complete and correspond to data composition requirements prescribed by the regulation of the European Commission.

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.

Measurement errors can stem from the questionnaire (its wording, design etc), the interviewees, the interviewers and the data collection method.

Data-entry and logical errors were eliminated.

14. Timeliness and punctuality

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

The preliminary data are published 18 months after the end of the reference year.

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 comparable with the data of other European Union countries.

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

The data are comparable across the whole time series (1999–…).

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.

Total time of filling in reports of the statistical activity, working days: 247.6

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

Täiskasvanute koolitus ettevõttes 0.9

(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

In 2011, the survey population was 6,183 enterprises. The sample size was 3,000 enterprises. The survey population consisted of enterprises in the commercial register that had 10 or more employees and whose main activity was covered by the survey.

The enterprises of the total population were divided by size into six groups: enterprises with 10–49, 50–99, 100–249, 250–499, 500–999 and more than 1,000 employees. Each size group was divided into 20 strata by main economic activity. Before sampling, the total population was stratified into 120 strata by two main characteristics: main economic activity and size class of enterprise by number of employees.

ADMINISTRATIVE DATA

Not used

DATA FROM OTHER STATISTICAL ACTIVITIES

Not used

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.

Data are collected online via the web-based application eSTAT or with a paper-based questionnaire sent by mail. The data are collected with the official statistics questionnaire “Continuing vocational training in enterprises”.

Survey questionnaires (report forms) are described for the web-based application eSTAT according to previously agreed rules. The described questionnaire is tested beforehand in a testing environment. From the described and tested questionnaires a paper questionnaire is generated, designed in a previously agreed format for publishing on the web.

The completion of questionnaires is monitored in eSTAT web environment by using special software. Data from the commercial register are received via X-Road.

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, the internal coherence of the data is checked.

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

In the case of missing or unreliable data, estimate imputation based on established regulations is used.

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. The data of sample units are expanded to a selected part of the total population separately in each stratum. The expansion factor is the ratio of the total population of the relevant stratum and the responded units. In the survey, 120 strata are used, which are based on two characteristics: main economic activity and size class of enterprise by number of employees.

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 applied

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

Not available