Job vacancy statistics (jvs)

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

Lamacska cesta 3/C, P.O.BOX 17, Bratislava 840 05, Slovak Republic


2. Statistical presentation Top
2.1. Data description

Job vacancy statistics (JVS) provide information on the level and structure of labour demand. The country transmits to Eurostat the quarterly data on the number of job vacancies and the number of occupied posts as well as provides the quality report under the JVS framework regulation and the two implementing regulations: the implementing regulation on the definition of a job vacancy, the reference dates for data collection, data transmission specifications and feasibility studies, as well as the implementing regulation on seasonal adjustment procedures and quality reports.

2.2. Classification system

The quarterly data are broken down by economic activity (at section level) in accordance with NACE Rev. 2 - Statistical classification of economic activities in the European Community.

2.3. Coverage - sector

The data cover all the economic activities defined by NACE Rev. 2, except the activities of households as employers and the activities of extraterritorial organizations and bodies. Covering agriculture, forestry and fishing activities is optional.

2.4. Statistical concepts and definitions

A 'job vacancy' is defined as a paid post that is newly created, unoccupied, or about to become vacant:

(a) for which the employer is taking active steps and is prepared to take further steps to find a suitable candidate from outside the enterprise concerned; and

(b) which the employer intends to fill either immediately or within a specific period of time.

 

‘Active steps to find a suitable candidate’ include:

- notifying the job vacancy to the public employment services,

- contacting a private employment agency/head hunters,

- advertising the vacancy in the media (for example internet, newspapers, magazines),

- advertising the vacancy on a public notice board,

- approaching, interviewing or selecting possible candidates/potential recruits directly,

- approaching employees and/or personal contacts,

- using internships.

 

'Specific period of time’ refers to the maximum time the vacancy is open and intended to be filled. That period shall be unlimited; all vacancies for which active steps are continuing on the reference date shall be reported.

 

An 'occupied post’ means a paid post within the organization to which an employee has been assigned.

2.5. Statistical unit

The statistical units are the enterprise and the self-employed person (not incorporated in the Statistical Business Register) with at least one employee.

2.6. Statistical population

The whole population of enterprises.

2.7. Reference area

The whole territory of the country.

2.8. Coverage - Time

Data from 2008 (aggregated data for the whole economy from 2006).

2.9. Base period

Not applicable


3. Statistical processing Top
3.1. Source data
Identification of the source of the data Enterprise surveys on labour
  • A. Quarterly full-scale survey on labour in organizations of financial intermediation and in all non-profit organizations irrespective of the number of employees as well as from a quarterly sample survey in profit organizations with 20 and more employees and in those with up to 20 employees which have a turnover of 5 million EUR and more.
  • B. Specific quarterly sample survey in other small-size enterprises with up to 19 employees.

Administrative sources related to job vacancies of self-employed persons

  • C. JV data from the administrative source administrated by the Central Office of Labour, Social Affairs and Family (after exclusion of the data related to legal persons).
Coverage
- Geographical Job Vacancy Survey covers the whole territory of the Slovak Republic.
- NACE All sections of NACE Rev. 2 (A to S), aggregations (A_S, B_S, B_N, B_F, B_C_D_E, F, G_H_I, J, K, L, M_N, O_P_Q, R_S) and 2 division levels (87, 88).
-Enterprise size Enterprise with 1 employee and more (1+), 10 employees and more (10+).
Definition of the statistical unit The statistical units are the enterprises and self-employed persons with at least 1 employee.
Remarks  -
Sampling design
Base used for the sample The sample consists of:

- enterprises drawn from the Statistical Business Register administrated by the SO SR,

- self - employed persons with employees who are not incorporated in the Statistical Business Register.

Sampling design There is a combination of full-scale (source A) and sample surveys (sources B, C). The sample was carried out as a single-stage stratified sample.
Retention/renewal of sampling units Retention rate of sampling units is scheduled for 33%, i.e. the selected responding unit will be reported no more than 3 years in the sample. In the strata with a small number of reporting units the retention rate can be assessed between 50 - 100%.

Selection of statistical units into the sample was made randomly within particular strata derived by stratifying attributes (status of statistical unit, economic activity, size-classes of enterprises). Replacement within strata is not permitted.

In the group of large enterprises (100+ employees) all units were included to the sample. The full-size approach was applied when the total number of enterprises in the frame population within a particular stratum was less than 4, i.e. in that case all enterprises were included in the sample.

Sample size Table 1 in the file 'Tables_2022' in the Annex section shows the number of enterprises (sources A and B) and self-employed persons with at least 1 employee (source C) that were included in the sample.
Stratification Sampling criteria:

-  in sources A, B - economic activity (NACE Rev.2 at 4 digit level),

-  in source C - economic activity (NACE Rev.2 at 2 digit level), region and size classes of enterprises.

3.2. Frequency of data collection
Reference dates
The reference period is the average of the last day of each month in the reference quarter.
3.3. Data collection
Brief description of the data collection method(s) Remarks
The data surveys are undertaken by staff of Statistical Office of the Slovak Republic (sources A, B). The data was collected using questionnaires by mail (postal). JV data on self-employed persons are from the online information system administrated by the Central Office of Labour, Social Affairs and Family, where employers report their job vacancies (source C). -
3.4. Data validation

Optional

3.5. Data compilation
Brief description of the weighting method Weighting dimensions
The initial weights were calculated as Nh/nh, where Nh was the total number of enterprises in stratum “h” of the population and nh was the number of enterprises in the sample in stratum “h”, assuming that each unit in the stratum had the same inclusion probability. The initial weights were updated after collection of questionnaires. Units with extremely high or low value of turnover got the weight equals 1 and other units got the weight equals Nh’/nh’, where Nh’ was total number of enterprises in stratum of the updated frame minus the number of enterprises with weight equals 1. 

Weights were adjusted by reweighting or combination of imputation and reweighting due to non-respondent units.

The weight of unit has been a proportion of the number of active units in the sample to the estimated number of active units in given strata of sampling frame. The grossing – up procedure has been done multiplying weight of units by means of values of the indicators in given strata of the sample.
3.6. Adjustment

See point 6.4 on seasonal adjustment.


4. Quality management Top
4.1. Quality assurance

Optional

4.2. Quality management - assessment

Optional


5. Relevance Top
5.1. Relevance - User Needs
Description of the users and their main needs Remarks
Number of users on the quarterly JVS results ranged between 563 - 2 217 persons over all quarters in 2022. -
5.2. Relevance - User Satisfaction
Extent to which the needs of national users are satisfied (voluntary) Remarks
Currently, there is no information on any lower level of user satisfaction concerning completeness (units, variables, breakdowns), accuracy or timeliness of the JVS. -
5.3. Completeness
Description of missing variables and missing breakdowns of the variables Report progress on the implementation measures regarding quarterly job vacancies statistics of Regulation (EC) No 453/2008, including :

- a detailed plan and timetable for completing implementation

- a summary of the remaining deviations from EU concepts

The national definition of indicators on job vacancies and occupied posts, their breakdowns by all sections of NACE Rev.2 (A - S) and size classes (1+, 10+) were developed on the basis of EUROSTAT’s recommendations. They comply with the target Regulation (EC) No 453/2008 of the European Parliament and of the Council on quarterly statistics on Community job vacancies.  Statistical Office of the SR does not have any report progress on the implementation measures regarding quarterly JVS.
5.3.1. Data completeness - rate

100%


6. Accuracy and reliability Top
6.1. Accuracy - overall

Optional

6.2. Sampling error

See below.

6.2.1. Sampling error - indicators
Coefficient of variation (taking into account the sampling design) or estimated sampling error for the number of job vacancies (see guidelines).

Table 2 in the file 'Tables_2022' in the Annex section shows the values of coefficients of variation for small-size units broken down by economic activities according to NACE Rev.2. Figures are relatively high almost in all sections of NACE Rev.2. The total CV values ranged between 10.94% - 29.40% over all quarters in 2022. The highest figures were calculated in some quarters for real estate activities; water supply; professional, scientific and technical activities. The reason is quite little occurrence of job vacancies in this group of employers.

Higher values in a majority of branches are shown in table 3 in the file 'Tables_2022' in the Annex section, which refers to enterprises with 10 or more employees. The total CV values range between 3.12% - 9.32% over all quarters in 2022. The decrease of CV data is caused by lower variance of the values in the stratified sample comparing to the previous years. The number of companies with a significantly higher number of vacancies has decreased compared to other firms, which has led to an decrease in the variance. Higher figures are in real estate activities; accommodation and food service activities; professional, scientific and technical activities.
6.3. Non-sampling error
Information on variables with non-negligible measurement and processing errors Information on main sources of (non-negligible) measurement and processing errors and, if available, on methods applied for correction Estimation bias: An assessment of the non-sampling errors, in terms of the absolute number of vacant posts,  for the total number of job vacancies and, where possible, for aggregation level of NACE Rev. 2 specified in Annex 1 to this Regulation and size classes (1-9, 10 + employees). Remarks
Some responding units recorded average number of job vacancies bigger than average number of occupied posts in the questionnaires. The respective regional administrations of the SO SR contacted these reporting units, verified data and checked them. Example of checks referring to Job Vacancy survey:

 - Information control that should be verified

Average number of job vacancies is less (or equal) than average number of occupied posts.

Errors made by respondents have been identified and corrected through complex of software controls before data processing.

Potential bias resulted from non-sampling errors is not significant. Smaller bias relates to the group of enterprises with 10+ employees due to their high sampling share and response rate. -
6.3.1. Coverage error
Description of any difference between the reference population and the study population Description of classification errors Description of any difference between the reference dates and the reference quarter Any other relevant information

Table 4 in the file 'Tables_2022' in the Annex section shows the number of business units in the sample and the sample share - percentage of the business units in the sample from the reference population (REGISTER). It is broken down by size class. Sample fractions ranged between 10.67% - 10.88% for small-size units with less than 10 employees and 58.04% - 58.40% for other units over all quarters in 2022.

Over- and under- coverage errors referring to the sampled units wrongly classified in the frame are demonstrated in table 5 of the file 'Tables_2022' in the Annex section. The highest under-coverage relates to the small size units with 5-9 employees and 10-19 employees. Most of the small-size and middle-size firms are flexible and they often change their field of activity. Recording these dynamic turns by the statistical register is sometimes very difficult. On the other hand, bigger companies are over-covered.

Information is not available. There are not any differences between the reference date and the reference quarter in the JV surveys. The SO SR has not any other relevant information about coverage errors in the JV surveys.
6.3.1.1. Over-coverage - rate

Optional

6.3.1.2. Common units - proportion

Optional

6.3.2. Measurement error

See 6.3 non-sampling error.

6.3.3. Non response error

See below.

6.3.3.1. Unit non-response - rate
Unit response rate
Tables 6 and 7 in the file 'Tables_2022' in the Annex section show better response rate in big-size units. Best values are in public administration, compulsory social security; education; human health and social work activities; financial and insurance activities; electricity, gas, steam and air conditioning supply. Total unit response rate is high (from 93.75% to 94.70% over all quarters in 2022) in the organizations with 10+ employees. In small-size units it reaches 77.10% - 80.17%.
6.3.3.2. Item non-response - rate

Optional

6.3.4. Processing error

See point 6.3 non-sampling error.

6.3.4.1. Imputation - rate
Item imputation rate and methods and, where possible, the effect of imputation on the estimates for the variables transmitted
Missing questionnaires in the reference quarter for the active responding units, that delivered data in the previous quarter, were imputed by making use of the “hot-deck” method of the donor from the present period. The donor is an active responding unit, which had delivered correct completed questionnaire or it had not been identified any extreme or another problem with quality in the checking process. Selection of the comparable units was made on the basis of three common attributes:

 - economic activity at the same 2-digit code of NACE Rev.2,

 - the same code in “Categories of organizations by number of employees",

 - “Added Value” indicator with keeping the same volume of production and of intermediate goods.

Partial imputation does not make.

6.3.5. Model assumption error
If modelling is used, include a description of the models used. Particular emphasis should be given to models for imputation or grossing-up to correct for unit non-response.
Imputation method or adjustment of the weighting method is used for correction of unit non-response.
6.4. Seasonal adjustment
Brief description of seasonal adjustment procedures, in particular with regard to the European Statistical System guidelines on seasonal adjustment which have been endorsed and supported by the SPC.
The SO SR provides the seasonally adjusted quarterly JVS data for 2022 by making use of time series with 60 observed periods (from 2008Q1 to 2022Q4). The indirect method of seasonal adjustment on seasonality of Job Vacancy and Occupied Posts data had been used for aggregates in the past (using Demetra+). A low number of the series were seasonally adjusted that time. A few seasonally adjustable series were found using the direct method of seasonal adjustment on seasonality of Job Vacancy and Occupied Posts data (using JDemetra+ 2.2.2).


Annexes:
SK_quality reporting on SA of JVS_2022
6.5. Data revision - policy

Optional

6.6. Data revision - practice
Provide a revision history, including the revisions in the published number of job vacancies and a summary of the reasons for the revisions.
Statistical Office of the SR did not make any revisions.
6.6.1. Data revision - average size

Optional


7. Timeliness and punctuality Top
7.1. Timeliness

See below.

7.1.1. Time lag - first result
Information on the time span between the release of data at national level and the reference period of the data.
Table 8 in the file 'Tables_2022' in the Annex section shows the schedule of the JVS data transmission to EUROSTAT and the release of data and reference period of the data at national level in 2022. All data transmissions run before the deadline.
7.1.2. Time lag - final result

Optional

7.2. Punctuality

See below.

7.2.1. Punctuality - delivery and publication
Deadlines for the respondents to reply, also covering recalls and follow-ups Period of the fieldwork Period of data processing Dates of publication of first results Remarks
Running of data processing

in the sources A and B:

- Responding units delivered the questionnaires to the respective regional administrations of the SO SR (Deadline: 20th and 26th calendar day after the end of the reference period).

- Regional administrations of the SO SR assembled the questionnaires (sending follow-ups 12th, 8th and 3rd day before deadline).

Recording of input data from the questionnaires at the regional administrations of the SO SR, data checking, elimination of errors in files, imputation of missing questionnaires, elaboration of a metadata report and a protocol concerning the run of data processing, submission of the final report to the centre of the SO SR. (Deadline: 30th day after the end of the reference period). - Responsible persons for surveys at the SO SR checked and released data for further processing. (Deadline: 33rd day after the end of the reference period).

- Projection and programming department saved the data file into the Original Database of the SO SR. (Deadline: 34th day after the end of the reference period).

- Grossing – up procedures in the sample surveys. (Deadline: 40th day after the end of the reference period). 

- Compilation of output tables and data files. (Deadline: 45th day after the end of the reference period - it can be delayed if any errors occur). The same deadline is in the source C.

Official release of data (Deadline: in average 65th day after the end of the reference period). -


8. Coherence and comparability Top
8.1. Comparability - geographical
Information on differences between national and European concepts, and — to the extent possible — their effects on the estimation.
The JVS covers the whole country of the Slovak Republic. It is in compliance with Regulation (EC) No 453/2008 of the European Parliament and of the Council on quarterly statistics on Community job vacancies.
8.1.1. Asymmetry for mirror flow statistics - coefficient

Optional

8.2. Comparability - over time
Information on changes in definitions, coverage and methods in any two consecutive quarters, and their effects on the estimation. Remarks
The JVS methodology was developed in accordance with PHARE Multi-country Programme (PHARE STAT - 2002), aiming to obtain data on job vacancies and occupied posts, comparable across European countries.

By the end of 2007, the reference date of the JVS data collection was the last day of the reference quarter. Starting from 2008Q1, the data is based on the average of the last days of each month in the reference quarter. Comparability of data before and after 2008 is very difficult. Therefore, the current time series has been kept since 2008.

 
8.2.1. Length of comparable time series

Optional

8.3. Coherence - cross domain
Comparisons of data on the number of vacant jobs from other relevant sources when available, in total and broken down by NACE at section level when relevant, and reasons if the values differ considerably.

The database of the Central Office of Labour, Social Affairs and Family (COLSAF) includes provisional monthly data on the number of job vacancies concerning all legal and physical persons. Figures on JV are more than four times in 2022 comparing to the JV data of the SO SR, what has been caused by the different survey methodology. Comparison between JV data of the SO SR and COLSAF provisional data on job vacancies show table 9 and graph 1 in the file 'Coherence_Tables_Graphs_2022' in the Annex section just below. Comparison between JVS data and the LFS data of the SO SR on occupied posts show table 10 and graph 2 in the file 'Coherence_Tables_Graphs_2022' in the Annex section just below. Annual average of the JVS occupied posts is lower than average number of employees from LFS (by 13.6%). After deduction of the number of persons who are not considered as employee in JVS it is lower by 118 828 (5.8%) comparing to annual average number of the LFS employees. The difference between the data is due to the different survey methodology. More detailed reasons are described in the sheet “Coherence with LFS data” of the file 'Coherence_Tables_Graphs_2022' in the Annex section just below. The Beveridge Curve for Slovak Republic (2010Q4-2022Q4) shows the Job Vacancy Rate and Unemployment Rate moving in the same directions. This is a consequence of national overall economy.

The difference between the numbers of employees from LFS and JVS occupied posts follows from differences in methodology, concept, definition and measurement. See the coherence analysis LFS versus JVS. The main reason of differences in number of employees by NACE Rev.2 is that in JVS the main activity of whole organization/enterprise is coded while in LFS it is main activity of the local unit. This methodological divergence is significant and it should be taken in account when comparison by NACE Rev.2 is made. The second significant reason of difference is that in JVS the economic activity of persons with a contract with a temporary employment agency are coded as the activity in the industry of the agency which employs them. While in LFS the economic activity of the local unit for persons with a contract with a temporary employment agency are coded as the activity of the local unit where they actually work and not in the industry of the agency which employs them. Besides reasons mentioned above, the section C (in LFS) covers quite numerous group of people working outside Slovakia. We suppose that higher number of employees in section C (in LFS) may be caused by group of employees with any legal contract (shadow economy). These persons are not covered in JVS. Besides reasons mentioned above section O (in LFS) includes numerous group of persons who are obliged to perform some work to keep receiving unemployment benefits. If they have performed some paid work during the reference week, they are coded as employed (employee). This group of persons is not considered as employee in JVS.

See also Beveridge curve below.


Annexes:
Coherence_Tables_Graphs_2022
SK Beveridge curve 2022
SK Comparison of JVS with LFS data 2022
8.4. Coherence - sub annual and annual statistics

Optional

8.5. Coherence - National Accounts

Optional

8.6. Coherence - internal

Optional


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

Optional

9.2. Dissemination format - Publications
Dissemination scheme, including to whom the results are sent Periodicity of national publication References for publications of core results, including those with commentary in the form of text, graphs, maps, etc. Information on what results, if any, are sent to reporting units included in the sample
All statistical information collected, processed and released by Statistical Office of the SR is regulated by the Law on State Statistics (No. 540/2001 Digest of Laws). This Law defines the secrecy and confidential data protection. An advance release calendar of the survey results is disseminated on the Internet website of Statistical Office of the SR and in the “Catalogue of Publications”.

Quarterly brief information on JVS is released during the briefing and posted on the Internet website of the SO SR on average on 65th day after the end of the reference quarter. By 65th day, text and the table quarterly data on average number of job vacancies and job vacancy rate (distributed to NACE Rev.2 and region) are released on the Internet web site of the SO SR (see “Statistics, Demography and Social Statistics, Labour”). Within 10 days after the official release is updated, the table quarterly data on average number of vacancies and job vacancy rate (broken down by NACE Rev.2) is available to the public in the database (also in the regional database) of the SO SR. It is disseminated through the Statistical Office web site.

Annual average of quarterly JVS data (number of vacancies divided into economic activities) is available to the public in the database (also the regional database) of the SO SR.

Quarterly. Data on average number of vacancies, occupied posts and job vacancy rate (broken down by NACE Rev.2 and region) for enterprises with 20 and more employees for 2022 is displayed on the Internet web site of the SO SR and in the annual publication Employees and Average Monthly Wages in the SR (only in the Slovak version). Text information on JVS for SR, the table data on number of vacancies and job vacancy rate (broken down by economic activities and region) are published in the quarterly publication Statistical Report on Basic Development Tendencies in the Economy of the SR (only in the Slovak version). Both publications are provided to download free of charge.

Annual average of quarterly JVS data (number of vacancies divided into economic activities) is published in publications titled Statistical Yearbook of the SR 2023 in bilingual versions.

No results are sent to reporting units due to economic reasons. They can find it on the Internet website of the SO SR.
9.3. Dissemination format - online database

Optional

9.3.1. Data tables - consultations

Optional

9.4. Dissemination format - microdata access

Optional

9.5. Dissemination format - other

Optional

9.6. Documentation on methodology

Optional

9.7. Quality management - documentation
Description of and references for metadata provided References for core methodological documents relating to the statistics provided Description of main actions carried out by the national statistical services to inform users about the data Remarks
Definition of the indicators on JVS is a part of the Catalogue of Methodological Papers (only in Slovak language) that is available on the Internet website of the SO SR.

Metadata on JVS is also accessible in the on-line database DATAcube on the Office’s web site.

Annual publication titled „Employees and Average Monthly Wages in the SR” (only in the Slovak version) for enterprises with 20 and more employees for 2022 is displayed on the Internet web site of the SO SR. The publication includes besides tables and charts also methodological explanations containing basic characteristics of published data and definitions of basic indicators. The same description of metadata is included in the quarterly Statistical report on fundamental tendencies in the economy of the SR (only in Slovak language).

Core methodological documents of JVS are the above mentioned Methodological Papers (only in Slovak language) from the Catalogue of Methodological Papers. It is available on the Internet website of the SO SR. The SO SR was providing information about the quarterly JVS results to the press and explaining the indicator methodology during the press briefing. -
9.7.1. Metadata completeness - rate

Optional

9.7.2. Metadata - consultations

Optional


10. Cost and Burden Top

Optional


11. Confidentiality Top
11.1. Confidentiality - policy

Optional

11.2. Confidentiality - data treatment
Disclosure rules: Brief description of when data have to be deleted for reasons of confidentiality
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 cannot be published. 


12. Comment Top
Special remarks
-


Related metadata Top


Annexes Top
Tables_2022