Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.3. Coverage - sector
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.4. Statistical concepts and definitions
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.5. Statistical unit
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.6. Statistical population
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.7. Reference area
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.8. Coverage - Time
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
2.9. Base period
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
3.1. Source data
filled Questionnaires
3.2. Frequency of data collection
4 years
3.3. Data collection
3.4. Data validation
last validation are made in SAS
3.5. Data compilation
Data are compiled in data entry phase
3.6. Adjustment
[Not requested]
4.1. Quality assurance
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
4.2. Quality management - assessment
[Not requested]
The data on labour cost are used by policy makers, Government and state organs, social actors, the media, researchers and students and they are one of the basic statistical data indispensable to follow the changes on the labour market.
5.1. Relevance - User Needs
These data on labour cost are one of the basic statistical data indispensable to follow the changes on the labour market.
5.2. Relevance - User Satisfaction
Major foreign user of survey data is Eurostat. Enterprises are still not so high interested for statistical data for their market research activities or for consultancy services but their interest is in increase.
5.3. Completeness
[Not requested]
5.3.1. Data completeness - rate
[Not requested]
-
6.1. Accuracy - overall
Sampling frame
The frame selection was obtained from all companies active in the Statistical Business Register situation and we getting a set of 56 329 statistical units
Sample
The sample design of this survey is made following the regulations described in Council Regulation No.530/1999, but adapted to our conditions and possibilities.
Statistical units are enterprises, in the total number of employed are included employees from the units. .
According to the Council Regulation the sample is stratified random sample. Stratification is regional, by activities and by the size of the business entities.
Stratification:
- Stratification by activities is at the level of sectors from B to S NACE Rev.2 (Mining and quarrying (B), Manufacturing (C), Electricity, gas, steam and air conditioning supply (D), Electricity, gas and water supply (E), Construction (F), Wholesale and retail trade, repair of motor vehicles and motorcycles (G), Accommodation and food service activities (I), Transportation and storage (H), Information and communication (J), Financial and insurance activities (K), Real estate activities (L), Professional, scientific and technical activities (M), Administrative and support service activities (N), Public administration and defense, compulsory social security (O), Education (P), Human health and social work activities (Q), Arts, entertainment and recreation (R), and Other service activities (S).
Stratification by size of business entities is actually stratification by the number of employees in 6 strata: less than 10 employees, 10-49, 50-249, 250-499, 500-999, 1000 and more employees. In this way 108 (18x6) strata are made.
The size of the sample is 4449 units.
All business entities from size strata with 250 and more employees are included in the sample. In strata with 1-9 employees and 10-49, 50-249 employees business entities were chosen randomly. When selecting the sample the percentage representation by regions was respected.
The computations of CVs have been produced using the software SAS, PROC SURVEYMEANS procedure.
6.2.1. Sampling error - indicators
In the tables in annex, coefficients of variation are shown in percentages for variables D (Annual labour costs) and D/B1 (Hourly labour costs) for different individual breakdowns.
There is no difference between the reference and the study population.
Possible over-coverage and under-coverage may happen because of demography of the units: births, deaths, mergers and de-mergers of old units.
To avoid this to the possible rate, we used the latest updated version of the sampling frame, the business register of the SSO.
6.3.1.1. Over-coverage - rate
Over-coverage rate is not available.
6.3.1.2. Common units - proportion
[Not requested]
6.3.2. Measurement error
The questionnaire was made according the EU regulation. The survey was conducted in April 2013. An information letter was sent to the business entities previously. The data collection method that was used was self-administrated survey done by sending the questionnaires by post to the enterprises. Data control was done during the survey by the staff in the regional offices, and later by the staff in the subject matter department in SSO.
Most of the errors and difficulties in filling in the data were found in the variables for paid but not worked hours and in the variables for labour cost for days not worked.
These mistakes were corrected during the data collection or in the post-data-collection processes data entry or editing.
6.3.3. Non response error
The overall unit non response rate was 25.9 %.
6.3.3.1. Unit non-response - rate
The overall unit response rate was 74.1 %. Response rate by activities and NUTS3 is given in the tables in annex.
Processing errors in post-data-collection processes such as data entry errors were found and corrected.
6.3.4.1. Imputation - rate
No item non response, but correction are made with data from Labour monthly survey
6.3.5. Model assumption error
No models were used.
6.4. Seasonal adjustment
[Not requested]
6.5. Data revision - policy
[Not requested]
[Not requested]
6.6. Data revision - practice
[Not requested]
6.6.1. Data revision - average size
[Not requested]
-
7.1. Timeliness
The data were published on 17 April 2014, which is 15 months after the reference period 2012. The data were sent to EUROSTAT in June 2014.
7.1.1. Time lag - first result
[Not requested]
7.1.2. Time lag - final result
[Not requested]
7.2. Punctuality
The LCS in Macedonia was conducted April 2013. A circular letter containing the general information about the survey and obligation by Law of Statistics to fill the questionnaire and the questionnaire was sent by post to the respondent units. The data collection method that was used was self-administrated survey. The respondent units had a period of 15 days (10.04-25.04.2013) in which they had to fill in and send back the questionnaire. Staff in the regional offices controlled the data and send to SSO by the end of May. In order to collect data from more medium and large enterprises big effort was made reminding the respondent units again to send back the questionnaire. Data processing in SSO was done from July 2013 till April 2014 by the following order:
- The data was controlled by the staff from the subject matter department; - Data entry; - Data checking and editing - Weighting of the data and making tables - Data analysis of the results.
The final results were published on 17 April 2014
7.2.1. Punctuality - delivery and publication
[Not requested]
The methodology and the used definitions are according the EU regulations.
The coherence is analyzed according to the template provided by Eurostat.
8.1. Comparability - geographical
There is no deviation from European concepts.
8.1.1. Asymmetry for mirror flow statistics - coefficient
[Not requested]
8.2. Comparability - over time
Not enough length of time series, LCS started in 2004 with period two years, and since 2008 period is four years
8.2.1. Length of comparable time series
Not enough length of time series, LCS started in 2004 with period two years, and since 2008 period is four years
8.3. Coherence - cross domain
1. Coherence with the Labour Force Survey
The comparison between the number of hours actually worked in 2012, expressed per employee (from Labour Cost Survey) and the average actual hours worked in the main job per year of the Labour Force Survey (LFS), expressed per employee shows small differences in four NACE Rev.2 sections, average differences in eight NACE Rev.2 sections and large differences in six NACE Rev.2 sections.
Apart from the clear difference in terms of employment definitions and survey methodology between LFS and LCS, the main reason for the discrepancies between the figures provided by the two data sources is the informal sector that is covered only by LFS.
The sections where the number of hours worked is much higher in LFS than in LCS are F- Construction, B- Mining and quarrying, D- Electricity, gas, steam and air conditioning supply, G- Wholesale and retail trade; repair of motor vehicles and motorcycles etc.
Small difference we have in section Q- Human health and social work activities and P- Education. The only sector where the number of hours worked is higher in LCS than in LFS is O- Public administration and defense, compulsory social security.
2. Coherence with Structural Business Statistics
The sections where wages and salaries are much higher in LCS than in SBS are: O- Public administration and defense, compulsory social security and H- Transportation and storage (See table in annex).
The comparisons between the compensation of employees, expressed per employee, show differences between Labour Cost Survey and National Account, especially in sector F- Construction. This is due to the different calculation method that is used in NA for the number of employees, which is significantly higher in NA than in LCS.
The data were published in April 2014 as final data, including explanations and short methodology and are available for the users on our web site. The publication for this survey is also available.
No results are sent to reporting units included in the sample.
9.1. Dissemination format - News release
[Not requested]
9.2. Dissemination format - Publications
Release and publication available in english as well
online and paper, http://www.stat.gov.mk/PrikaziPoslednaPublikacija.aspx?id=4
9.6. Documentation on methodology
Basic methodological explanation are published in release and publication.
The methodology and the used definitions are according the EU regulations.
9.7. Quality management - documentation
[Not requested]
9.7.1. Metadata completeness - rate
[Not requested]
9.7.2. Metadata - consultations
[Not requested]
[Not requested]
-
11.1. Confidentiality - policy
[Not requested]
11.2. Confidentiality - data treatment
[Not requested]
No comment
[Not requested]
Not Applicable
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
Not available. New concept added with the migration to SIMS 2.0. Information (content) will be available after the next collection.
Not Applicable
Sampling frame
The frame selection was obtained from all companies active in the Statistical Business Register situation and we getting a set of 56 329 statistical units
Sample
The sample design of this survey is made following the regulations described in Council Regulation No.530/1999, but adapted to our conditions and possibilities.
Statistical units are enterprises, in the total number of employed are included employees from the units. .
According to the Council Regulation the sample is stratified random sample. Stratification is regional, by activities and by the size of the business entities.
Stratification:
- Stratification by activities is at the level of sectors from B to S NACE Rev.2 (Mining and quarrying (B), Manufacturing (C), Electricity, gas, steam and air conditioning supply (D), Electricity, gas and water supply (E), Construction (F), Wholesale and retail trade, repair of motor vehicles and motorcycles (G), Accommodation and food service activities (I), Transportation and storage (H), Information and communication (J), Financial and insurance activities (K), Real estate activities (L), Professional, scientific and technical activities (M), Administrative and support service activities (N), Public administration and defense, compulsory social security (O), Education (P), Human health and social work activities (Q), Arts, entertainment and recreation (R), and Other service activities (S).
Stratification by size of business entities is actually stratification by the number of employees in 6 strata: less than 10 employees, 10-49, 50-249, 250-499, 500-999, 1000 and more employees. In this way 108 (18x6) strata are made.
The size of the sample is 4449 units.
All business entities from size strata with 250 and more employees are included in the sample. In strata with 1-9 employees and 10-49, 50-249 employees business entities were chosen randomly. When selecting the sample the percentage representation by regions was respected.
