Labour input in construction, gross wages and salaries

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistics Lithuania


Eurostat metadata
Reference metadata
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
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Statistics Lithuania

1.2. Contact organisation unit

Short Term Business Statistics Division

1.5. Contact mail address

29 Gedimino Ave., LT-01500 Vilnius, Lithuania


2. Metadata update Top
2.1. Metadata last certified 27/04/2021
2.2. Metadata last posted 27/04/2021
2.3. Metadata last update 27/04/2021


3. Statistical presentation Top
3.1. Data description

The purpose of the wages and salaries index is to approximate the development of the wages and salaries bill in construction activity.   

3.2. Classification system

National version (EVRK Rev. 2) of the Statistical Classification of Economic Activities in the European Community (NACE Rev. 2)

3.3. Coverage - sector

Wages and salaries index covers economic activities listed in Section F of NACE Rev. 2 (Construction).

3.4. Statistical concepts and definitions

Gross wages and salaries – remuneration  payable to the employee in return for the work done during the reference quarter in cash, goods, services and/or privileges, including income taxes, social insurance contributions, etc. payable by the employee. It includes various bonuses in cash and in kind: allowances, severance pays, gratuity, premiums, compensations, increments. Wages and salaries does not include social insurance contributions payable by the employer, money meant for the purchase of equipment,  working clothes, various training courses, expenses on business trips (travel, accommodation), benefits from the State Social Insurance Fund in case of temporary disability (sickness, maternity leave, parental leave).

3.5. Statistical unit

Enterprise

3.6. Statistical population

In 2020 the  frame population comprises 8679 observation units of all sizes and types with the main economic activity defined in the section F of NACE Rev.2.

3.7. Reference area

Geographical coverage of the indicator is whole country. The activities outside the geographical coverage aren't included in the data.

3.8. Coverage - Time

Since I Q 1998

3.9. Base period

2015=100


4. Unit of measure Top

Index


5. Reference Period Top

Quarter


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

Council Regulation (EC) No 1165/98 of 19 May 1998 concerning short-term statistics, as last amended by Commission Regulation (EU) No 461/2012 of 31 May 2012.

6.2. Institutional Mandate - data sharing

Data is transmitted only to Eurostat.


7. Confidentiality Top
7.1. Confidentiality - policy

Law on Statistics of the Republic of Lithuania;

Regulation (EC) No 223/2009 of the European Parliament and of the Council of 11 March 2009 on European statistics and repealing Regulation (EC, Euratom) No 1101/2008 of the European Parliament and of the Council on the transmission of data subject to statistical confidentiality to the Statistical Office of the European Communities, Council Regulation (EC) No 322/97 on Community Statistics, and Council Decision 89/382/EEC, Euratom establishing a Committee on the Statistical Programmes of the European Communities (OJ 2009 L87, p. 164).

In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania.

7.2. Confidentiality - data treatment

Description of Statistical Disclosure Control Methods, approved by Order No DĮ-124 of 27 May 2008 of the Director General of Statistics Lithuania.

Integrated Statistical Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the Integrated Statistical Information System, approved by Order No DĮ-42 of 20 February 2015 of the Director General of Statistics Lithuania (only in Lithuanian).

Where the respondent about whom or whose activity results the primary statistical data have been collected may be directly or indirectly identified on the basis of official statistical data, such official statistical data shall be confidential and protected in the manner prescribed by laws.


8. Release policy Top
8.1. Release calendar

Statistical information is published in accordance with an approved release calendar.

8.2. Release calendar access

Official Statistics Calendar

8.3. Release policy - user access

Statistical information is published on the Official Statistics Portal according to an Official Statistics Calendar, following the Official Statistics Dissemination Policy Guidelines and Statistical Information Preparation and Dissemination Rules.

No users have advance access to the statistical data.

Data is disseminated to all users at the same time.


9. Frequency of dissemination Top

Quarterly


10. Accessibility and clarity Top
10.1. Dissemination format - News release

None

10.2. Dissemination format - Publications

None

10.3. Dissemination format - online database

Data is accessed in the Database of Indicators (Business statistics -> Construction -> Labour input indicators of construction enterprises).

10.4. Dissemination format - microdata access

Microdata are available and provided for scientific purposes according to the provisions set in the Description of Procedures for the Provision of Confidential Statistical Data for Scientific Purposes. More information is available on the Official Statistics Portal, at https://osp.stat.gov.lt/duomenys-mokslo-tikslams.

Public data files: users are also provided with opportunity to access public files with statistical data on observation units. More information is available on the Official Statistics Portal, at https://osp.stat.gov.lt/viesos-duomenu-rinkmenos.

10.5. Dissemination format - other

Eurostat's database

10.6. Documentation on methodology

The survey methodology (in Lithuanian) is presented on the Official Statistics Portal

10.7. Quality management - documentation

Metadata for indicator is updated every quarter and published on the Official Statistics Portal 


11. Quality management Top
11.1. Quality assurance

The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework

In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy. Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify the areas which need improvement and to promptly eliminate the shortcomings.

11.2. Quality management - assessment

The monitoring of the quality of wages and salaries index is based on  the ESS quality requirements (relevance, accuracy, timelines and punctuality, accessibility and clarity, coherence and comparability). The inspection of statistical survey, updating survey methodology, self-assessment of survey manager are carried out.  
The coefficient of variation (relative standard error), used as the main measure of the accuracy of estimate, does not exceed 3 per cent. Before the results are presented to users, additional statistical data quality control is exercised at the macrodata level.


12. Relevance Top
12.1. Relevance - User Needs

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students. Data is transmitted to Eurostat. The users' needs are satisfied without a breach of the confidentiality principle.

12.2. Relevance - User Satisfaction

From 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted. In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular.

For more information on user surveys and their results, see section User surveys on the Statistics Lithuania website.

12.3. Completeness

All regulated indicators are published. 


13. Accuracy Top
13.1. Accuracy - overall

The total population in the LT Business Register includes about 8166 operating construction enterprises of all sizes and types with the main economic activity defined in the section F of NACE Rev.2. The statistical survey is conducted applying a stratified random sampling method. The sampling frame is based on actual information about enterprises in operation, their economic activity and the number of persons employed from the Statistical Business Register. Enterprises are stratified by number of persons employed: all enterprises with 50 and more persons employed were included in the sample, for other enterprises, a stratified random sampling method is used. A representative sample includes 1027 units.

To calculate the estimates Horvitz-Thompson estimator is using, that is unbiased.

Coverage errors appear by reasons of misclassification of units and changes in state of reporting units.

The sampling error in percent is calculated for main indicators of survey and published quarterly.

Administrative data source (Database of the State Social Insurance Fund Board (SODRA)) is used.

Usually survey results don't change after their first release, only in the end of the year if need of revision appears.

13.2. Sampling error

 In 2020, the estimate of the coefficient of variation of the wages and salaries index was changed from 1.21 to 1.39 per cent.

 

 

CV percent
1Q 2Q 3Q 4Q
TOTAL   1.21 1.26 1.35 1.39
13.3. Non-sampling error

Administrative data source (Database of the State Social Insurance Fund Board (SODRA)) is used. The coverage is complete when the release is compiled.


14. Timeliness and punctuality Top
14.1. Timeliness

Statistical information is published on the 60th day after the end of the reference quarter.

14.2. Punctuality

Statistical information is published in accordance with an approved release calendar

100 per cent of statistical information is released on time.


15. Coherence and comparability Top
15.1. Comparability - geographical

Statistical information is comparable within the EU countries. 

15.2. Comparability - over time

Ensuring full compatibility. There are no breaks in time-series since 1998.

15.3. Coherence - cross domain

The data is comparable with the Structural Business Statistics, Labour statistics.

15.4. Coherence - internal

Not applicable


16. Cost and Burden Top

The  cost is determined for statistical survey in total and it is not possible to calculate for separate indicators.

Total cost (NSI) – 3278 hours per year.

The administrative data source is used; there is  no administrative burden for respondents.


17. Data revision Top
17.1. Data revision - policy

Statistics Lithuania’s revision policy is provided in the document General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators.

Vintage data is not available.

The same revision policy is applied nationally and in Eurostat.

17.2. Data revision - practice

Long-term planned (major) revisions were conducted due to changes in the base year (2015-100). The time series from 1Q 1998 were back-casted.


18. Statistical processing Top
18.1. Source data

Administrative data source State Social Insurance Fund Board is used. All construction enterprises report to social insurance.

18.2. Frequency of data collection

Quarterly

18.3. Data collection

Administrative data according to the contract concluded with the State Social Insurance Fund Board is regularly extracted from its database.

18.4. Data validation

The completeness of primary data from SODRA is checked, missing data is checking with non-response reasons (legitimate or no) from statistical survey on Construction Enterprises Activity. The statistical results are compared to the previous period, and with the corresponding period of the previous year. Before sending to Eurostat data file is validated and converted into SDMX_ML format using SDMX Converter Tool.  The data file is transmitted to Eurostat in STSCONS domain by eDAMIS.

18.5. Data compilation

Estimates for wages and salaries index are computed using stratified random sampling formulas and  using the same weights as in the other survey indicators.

18.6. Adjustment

None


19. Comment Top

None


Related metadata Top


Annexes Top