Structure of earnings survey 2018 (earn_ses2018)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Statistical Office of the Slovak Republic (SO SR)


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Statistical Office of the Slovak Republic (SO SR)

1.2. Contact organisation unit

Labour and Education Statistics Department

1.5. Contact mail address

Statistical Office of the Slovak Republic (SO SR),
Mileticova 3,
824 67 Bratislava,

Slovak Republic


2. Statistical presentation Top
2.1. Data description

In 2019, the Statistical Office of the Slovak Republic (SO SR) carried out the Structure of Earnings Survey (SES) in the SR for the reference year 2018. The SES is a sample survey based on a yearly cycle. It followed after similar surveys that had been conducted for the years 1996 – 2017.

Methodology of the SES, being developed on the basis of Eurostat´s recommendations, is based on the Council Regulation (EC) No 530/1999 concerning structural statistics on earnings and on labour costs, the Commission Regulation (EC) No 1738/2005 as regards the definition and transmission of information on the structure of earnings, the Commission Regulation (EC) No 698/2006 concerning the quality evaluation of structural statistics on earnings. The requirements of the Slovak government and its central bodies have been also taken into the consideration.

Since 2002, the SES has been joined with an annual statistical sample survey – The average earnings information system. This survey is carried out by the Ministry of Labour, Social Affairs and Family of the Slovak Republic in cooperation with the SO SR on the basis of the Government regulation N43/1997.

 

2.2. Classification system

National classifications corresponding to international standards:

 

2.3. Coverage - sector

Economic activities defined in sections B to S of the Statistical classification of economic activities in the European Communities (NACE Rev 2).

2.4. Statistical concepts and definitions

Concepts and definitions are following the Council Regulation (EC) No 530/1999 of and the Commission Regulation (EC) No 1738/2005.

2.5. Statistical unit

local kind of activity units

2.6. Statistical population

The SES 2018 is based on a sample of employees drawn from a stratified sample of statistical units. The population consisted of all legal persons registered in the Business Register as of January 1, 2018, regardless they are profit or non-profit organizations in all economic sectors of the Slovak Republic. The Source of data for generating sample frame (set of units that can be chosen for sample) was the Register of Organizations and Register of Establishments (i.e. local units) administrated by the SO SR. Sample is a set of units chosen from the whole working population. The current sample presents information on the average wages of more than one-quarter of employees in the national economy. Presented information on earnings refers to nearly all working positions according to ISCO – 08.

Partial differences in the Structure of Earnings in the Slovak Republic in comparison with the European Union result from the specific character of the Slovak wage system (for example bonuses for being on call to work outside the workplace, premiums related to profit sharing and payment in kind are not included into earnings). For this reason, we have prepared two versions of results - the survey outputs corresponding with the demand of the Slovak users and those based on the Eurostat´s requirements comparable with Community statistics on the level and structure of earnings on the basis of a list of variables established in the Regulation (EC) N1738/2005.

2.7. Reference area

Slovakia

2.8. Coverage - Time

Reference year: 2018

Reference month: October 2018

2.9. Base period

not applicable


3. Statistical processing Top
3.1. Source data

Statistical survey

3.2. Frequency of data collection

Data are collected annually.

3.3. Data collection

The system of data collection in the SES 2018 depended on the technical conditions of reporting units. The data was collected via electronic mail. Reporting units selected and recorded required data from the enterprise databases in connection with personal and wage programs. 

The inputs are divided into two files:

A- inputs related to local kind - of - activity units,

B- inputs related to employees.

 

3.4. Data validation

Sets of global and plausibility checks were used to verify the correctness and completeness of the information.

Sometimes a different number of employees was recorded in file A (the total number of employees in the local kind-of-activity unit) in comparison with the total number of employees in file B. The data were requested repeatedly and corrected. The data were evaluated and revised on the basis of Global Checks and Plausibility Checks, indicated in EUROSTAT´s arrangements for the implementation of both, the Regulation (EC) No 530/1999 and the Regulation (EC) No 1738/2005.

Data processing was realised by means of the specific software with a complex of calculations and checks.

Examples of checks referring to earnings:

  • obligatory control that must be corrected,
  • direct remuneration must be more than 0,
  • bonuses can be only equal or more than 0,
  • total number of employees must be more than 0,
  • logical control that must be corrected,
  • payments to health insurance schemes must be less than statutory social security contributions,
  • if the number of apprentices is more than 0 then wages and the salaries of apprentices must be more than 0,
  • hours worked by full-time employees must be less or equal to hours worked by all employees,
  • arithmetical control that must be corrected,
  • number of full and part-time employees plus the number of apprentices is equal to total staff employed,
  • information control that should be verified,
  • direct remuneration is outside the test limits derived from the range of most occurrences of employees that were measured within the current enterprise survey on labour,
  • paid hours per week is more than 40.
3.5. Data compilation

[Not requested]

3.6. Adjustment

not applicable


4. Quality management Top
4.1. Quality assurance

The quality of the results is ensured by the number of logical, mathematical and plausibility checks performed.

4.2. Quality management - assessment

[Not requested]


5. Relevance Top
5.1. Relevance - User Needs

The SES outputs users:

Multinational organizations: EUROSTAT Directorate F: Social statistics and Information Society, Unit F-3 Labour market statistics, ILO, OECD, World Bank - to compare the situation in earnings at the international level.

Official national-level: Parliament, Government, Ministries (in particular the Ministry of Finance of the Slovak Republic, the Ministry of Labour, Social Affairs and Family of the Slovak Republic), the Social insurance agency – to use these outputs for the evaluation of the state and development of society from macro and micro level. They elaborate on the analyses and forecasts of earnings development for budgetary policy-making. The forecast of the taxes is a direct input (budget revenues) for the state budget.

Data classified by gender are used for implementation of the principle of equal treatment for men and women as regards access to employment, vocational training and working conditions.

Statistical level: Statistical Office of the Slovak Republic.

Social actors: Trade unions, Employer’s associations – to use the data for the control of keeping employee´s and employer´s rights and duties.

Researches, students: Universities – to use the data for production of the study materials, the graduation thesis, doctoral thesis and research purposes.

Media: Press agencies, newspapers – to inform the public about the earnings situation and development in the Slovak Republic.

5.2. Relevance - User Satisfaction

Currently, there is no information on any lower level of user satisfaction concerning completeness (units, variables, breakdowns), accuracy or timeliness of the SES.

5.3. Completeness

All mandatory variables required in the Council Regulation (EC) No 530/1999 and the Commission Regulation (EC) No 1738/2005 were provided.

5.3.1. Data completeness - rate

100%


6. Accuracy and reliability Top
6.1. Accuracy - overall

Please consult 6.2.1., 6.3.1., 6.3.2., 6.3.3. and 6.3.5.

6.2. Sampling error

See 6.2.1.

6.2.1. Sampling error - indicators

1. Probability sampling

Coefficients of variation were calculated by the following formula:

 

 

 

where

 

 

 

Nn - the number of units in the stratum "n" of the universe

  - the number of units in the universe total

m  - the number of stratums

nn  - the number of units in stratum "n" of the sample

¯x   - arithmetical mean

xni   - mean per individual unit

¯x  - mean in stratum "n" 

 The coefficients of variation for gross earnings and gross hourly earnings in the reference month (October) for full-time employees broken down by economic activity - Nace Rev.2, occupation (ISCO - 08), age groups, size of enterprise and sex (Tables 1a, 2a, 3a, 4a) are low.

These coefficients of variation for part-time employees (Tables 1b, 2b, 3b, 4b) are higher than those related to full-time employees. The main reason of these high values is that employees in Slovakia highly prefer full-time job rather than part-time job. This fact influences the low share of employees working in part-time job in the sample.

 

2. Non – probability sampling

Non – probability sampling was not used in the SES 2018.



Annexes:
Coeffic_variation_SES_2018
6.3. Non-sampling error

See 6.3.1.

6.3.1. Coverage error

The population consisted of all legal subjects with one and more employees, that are registered in the Registers of organizations and establishments (i.e. local kind-of-activity units), kept by the Statistical Office of the Slovak Republic. The set covers profit and non-profit organizations in all economic activities of the Slovak Republic. As of January 1, 2018, the sample frame comprised 73 865 legal statistical units.

 

The sample was created by using the statistical method of a random sample within the stratum with the estimated number of inactive units. The source for data processing was the register of active and inactive reporting units. The sample consisted of 9 942 statistical units. All statistical units with 100 and more employees were fully included in the survey with regard to the influence of these big-size organizations on economic development in the Slovak Republic.

 

The coverage errors were caused by inaccurate data which were provided by the statistical units to the Registers of organizations and establishments. In some cases, the questionnaires included different identification data (e.g. economic activity, size, region) on surveyed statistical units as compared to the Register. Some of them were not included as their changes had not been announced to the Register. Some data from sample units were not included also for the following reasons – liquidation, bankruptcy, units had no employees, due to unknown addresses.

6.3.1.1. Over-coverage - rate

Not available.

6.3.1.2. Common units - proportion

Not available.

6.3.2. Measurement error

Resulting from experiences with the regular data collection since 1996, the errors of measurement are considered as negligible.

The data collection errors occurred directly from bookkeeping software.

The data were evaluated and revised on the basis of Global Checks and Plausibility Checks, indicated in EUROSTAT´s arrangements for the implementation of both, the Regulation (EC) No 530/1999 and the Regulation (EC) No 1738/2005.

6.3.3. Non response error

Sample in the year 2018 - 9 942 units

Returned  statistical questionnaires: 9 633

Non-response: 309

Response rate: 96.90%

 

The response rate for the selected variables

Regulation Code Variable Response rate

per cent

2.1

Sex

99.99

2.2

Age

99.98

2.3

Occupation

80.37

2.5

Highest completed level of education and training

82.30

2.6

Length of service in the enterprise

98.84

2.7

Full-time or part-time employees

99.94

2.8

Type of employment contract

96.82

3.1

Total gross earnings in the reference month

75.43

3.2

Total gross annual earnings in the reference year

98.91

3.2.1.

Number of weeks to which the gross annual earnings relate

97.80

3.5.1

Annual days of holiday leave

87.83

3.4

Number of hours paid during the representative month

74.38

 

Upon request, reporting units were provided with assistance in completing the questionnaire. This support consisted particularly of consultations and explanations concerning methodology, definitions of variables, compilation and recording of data. After gathering and recording of data, the checks were undertaken with a focus on quantity – filling every needed indicator as well as on quality – the correctness of indicators. Therefore, the response rate for the variables surveyed was high.

 

Data from 309 units were not included in the survey. Out of 309 units 9 were in liquidation, 15 units in bankruptcy, 36 units did not employ any employee, 58 questionnaires were returned blank due to unknown address, 24 units had technical problems, rejected 9 units and 158 units did not provide data.

6.3.3.1. Unit non-response - rate

Not available.

6.3.3.2. Item non-response - rate

Not available.

6.3.4. Processing error

Not available.

6.3.4.1. Imputation - rate

Not available.

6.3.5. Model assumption error

Not available.

6.4. Seasonal adjustment

not applicable

6.5. Data revision - policy

Not available.

6.6. Data revision - practice

Not available.

6.6.1. Data revision - average size

Not available.


7. Timeliness and punctuality Top
7.1. Timeliness

The SES micro-data transmission to Eurostat ran before the deadline (11 June 2020).

7.1.1. Time lag - first result

not applicable

7.1.2. Time lag - final result

not applicable

7.2. Punctuality

Phases and of data collection:

  • Preparation of the survey and realization of an electronic collection of the extended data entry file - 14 December 2018.
  • Selection and creation of the representative sample of the statistical units from the Register of organizations and establishments (i.e. local kind-of-activity units) - 14 December 2018.
  • Elaboration and preparation of the methodological materials for the statistical units - 10 December 2018.
  • Development of the informational system and preparation of new software in relation to the new structure of data – 5 September 2018.
  • Delivery of methodological materials and technical data, e-mail, for selected statistical units - 3 January 2019.
  • Consultations and provision of professional assistance for statistical units for the preparation and the automated data collection. Realization of the collection and complex controls of data – entry accuracy and data integrity, which were collected from the statistical units. Evidence of delivered floppy data and electronic questionnaires, evidence of non - response - from 1 January to 15 February 2019.
  • Assessment of data received from a sample of the statistical units in terms of compliance with the representation, evaluation of the statistical characteristics by classification attributes - 21 February 2019.
  • Follow-up, re-calling the absent statistical units and definitive end of the data collection - 25 February 2019.
  • Consolidation and testing of accuracy and completeness of data – uploading electronic xml.files into software Black- box II. and data processing for the sample - 4 March 2019.
  • Preparation and realization of grossing – up procedures on Register of organizations and establishments in the Slovak Republic, data processing - 20 March 2019.
  • Release of the publication –Structure of Earnings in Slovak Republic in 2018 (Slovak and English version) - 13 June 2019.
  • Realization and submission of the micro-data to EUROSTAT – 11 June 2020.
  • Quality evaluation of the structural statistics on labour costs and earnings according to the Commission Regulation (EC) No 698/2006 - September 2020.
7.2.1. Punctuality - delivery and publication

see 7.2.


8. Coherence and comparability Top
8.1. Comparability - geographical

the data is comparable for Slovakia over different data collection waves

8.1.1. Asymmetry for mirror flow statistics - coefficient

not appicable

8.2. Comparability - over time

Since 2002, the SES has been interconnected with the annual statistical sample survey – The average earnings information system. The enlargement of the number of statistical units occurred during the creation of the sample in 2002 - 2018. The scope of the sample has been enlarged from 2 500 units in 2002 to 9 942 units in 2018. The enlargement of the sample was realised for the provision of higher data representativeness, comparability and completeness on the territorial basis as the SES data are used also in the regional statistics.

The SES was adapted according to the Regulation (EC) N1738/2005 and it was enlarged by variables as follows:

 

1.5        Collective pay agreement

2.3        Occupation in the reference month (ISCO-08)

2.5        Highest successfully completed level of education and training (ISCED 2011)

2.6        Length of service in the enterprise

2.7.1     % share of a full-timer’s normal hours

2.8        Type of employment contract

3.1        Number of weeks in the reference year to which the gross annual earnings relate

3.2        Number of hours actually paid during the reference month

3.2.1     Number of overtime hours paid in the reference month

3.3        Annual days of holiday leave

4.1        Gross annual earnings in the reference year

4.1.1     Annual bonuses and allowances not paid in each pay period

4.2        Gross earnings in the reference month

4.2.1     Earnings related to overtime

4.2.2     Special payments for shift work

4.3        Average gross hourly earnings in the reference month

8.2.1. Length of comparable time series

Length of comparable time-series: 16 years

8.3. Coherence - cross domain

Coherence with the structure of employees in the Labour Force Survey (LFS) for the same reference period (2018)

 Definition of employees by LFS

Employees - persons aged 15 years and more who work at least one hour for a public or private employer and who receive compensation in the form of wages or salaries, including members of productive co-operatives, persons on community service, and professionals in military service. Data on employed include persons not working in the reference year due to illness, holiday, maternity leave, study, weather conditions, and strike or dispute, except persons on long-term unpaid leave from work and persons on parental leave.

Definition of employees by SES

Employees - all persons defined in the Regulation (EC) No 1738/2005.

The percentages of the SES employees out of the LFS employees are presented in the attached document Coherence_LFS_2018 (Tables 5-6).

 The variances in the numbers of the employees were influenced by:

- the different methods of the survey’s realization and  the data grossing-up,

- the different methodology. 

The problem with the calculation of the number and the filling of the number of the employees in the LFS was another very important reason for high and low values of the ratio of the number of employees in SES as compared to the number in the LFS. It was impossible to exclude the economic activity NACE Rev.2 section A of employees from the LFS data in the table by education.

The different number of employees working in part-time jobs between the LFS and the SES are influenced by the low number of employees working in this type of job in the Slovak Republic. It means that it is difficult to include these employees in the sample equally.



Annexes:
Coherence_LFS_2018
8.4. Coherence - sub annual and annual statistics

not available

8.5. Coherence - National Accounts

Coherence with the structure of gross annual earnings in National Accounts (NA) for the same reference period (2018)

The percentages of gross annual earnings in SES and NA are presented in the attached document Coherence_NA_2018 (Table 7).

 

The variances in gross annual earnings were influenced by:

- the different methods of the survey’s realization and  the data grossing-up,

- the different methodology. 



Annexes:
Coherence_NA_2018
8.6. Coherence - internal

see 8.2.


9. Accessibility and clarity Top
9.1. Dissemination format - News release

not available

9.2. Dissemination format - Publications

The annual publication (Slovak and English version) is displayed on the Internet website of Statistical Office of the SR (https://www.statistics.sk). The publications include metadata, data and graphs.

Key information on annual national data was issued in the publication titled Statistical Yearbook in the Slovak Republic in bilingual versions. 

9.3. Dissemination format - online database

The SES regional data with further economic and social indicators are available in the regional database of the SO SR (DATAcube).

Key information on annual national data is also available at the SO SR´s website under the online database DATAcube that is free of charge.

9.3.1. Data tables - consultations

not available

9.4. Dissemination format - microdata access

Micro-data in the electronic transmission format were sent to EUROSTAT in 2020.

9.5. Dissemination format - other

The SES data were used also for the ILO Yearbook of Labour Statistics Questionnaire 2019.

On the basis of the SES data the structural indicator Gender Pay Gap has been calculated.

9.6. Documentation on methodology

The annual publication (Slovak and English version) is displayed on the Internet website of Statistical Office of the SR (https://www.statistics.sk). The publications include metadata, data and graphs.

9.7. Quality management - documentation

not available

9.7.1. Metadata completeness - rate

not available

9.7.2. Metadata - consultations

not available


10. Cost and Burden Top

not available


11. Confidentiality Top
11.1. Confidentiality - policy

The Law on State Statistics defines secrecy and confidential data protection. Without the approval of responding units providing the relevant individual data, this information could not be published or announced to anybody or used for other than statistical purposes.

11.2. Confidentiality - data treatment

If the number of the statistical unit in any cell of the table formed by aggregating the individual data is less than three the data in the concerned cell is considered confidential. Confidential data are under high protection from direct or indirect identification and could not be published.


12. Comment Top

The grossed-up results of the SES 2018 are presented in the attached document Grossed_up_results_tabular_analyses_2018 (Tables 8-17)



Annexes:
Grossed_up_results_tabular_analyses_2018


Related metadata Top


Annexes Top