Statistics Lithuania

Short Term Business Statistics Division

29 Gedimino Ave, LT-01500 Vilnius, Lithuania

The purpose of the hours worked index  is to show the development in the volume of work done. The total number of hours worked represents the aggregate number of hours actually worked for the output of the observation unit during the reference period.

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

Hours worked index covers economic activities listed in Section F of NACE Rev. 2 (Construction).

Hours worked is the total number of hours actually worked by employees during the reference quarter. Included are all hours worked during the working day, overtime, night work, working on weekends and public holidays; time spent on preparation for work, short rest periods; time spent at the place of work during which no work is done (due to technical obstacles) but for which payment is made in accordance with legislation or collective agreement.  Hours paid but not worked (such as sickness, strike, annual leave) are excluded.

Hours worked by individuals who registered individual activities performed under an individual activity certificate aren't covered.

Kind-of activity-unit

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.

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

Since 1st Q 1998

2015 = 100

Index

Quarter

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.

Data is transmitted only to Eurostat.

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

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.

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.

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

Official Statistics Calendar

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.

Quarterly

None

None

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

Not applicable

Eurostat's database

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

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

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.

The system for measurement and monitoring of performance quality implemented at Statistics Lithuania allows making expeditious decisions, based on impartial information, which are important for the improvement of performance, detection and elimination of drawbacks.

Statistics Lithuania uses the following tools for quality monitoring and assurance:

- Monitoring of performance indicators (comprising ESS quality indicators, the response burden and indicators related to time used for different statistical processes),

- Self-assessment of survey managers (based on DESAP (European checklists for survey managers)),

- Statistical audits,

- Testing of previously approved statistical questionnaires.

Collecting information is submitted to the quality requirements, consistent with the standard quality components of European Statistical System, namely: relevance, accuracy, timeliness and punctuality, accessibility, clarity, comparability, coherence.

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.

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.

All regulated indicators are published.

The total population in the LT Business Register includes about 8679 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.

The accuracy of the estimates is reached by eliminating non-sampling errors, such as coverage, non-response, response mistakes and processing errors, also by calculating sampling error.

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

It is compulsory to respond to the survey. In case of non-response, units are contacted by telephone and email.

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

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

A coefficient of variation is used as a measure of the precision of an estimate. In 2020, the estimate of the coefficient of variation of the hours worked index was changed from 1.38 to 1.50 per cent.

Over-coverage error arises from the presence of units not belonging to the section F (construction) and deaths of sampled units. 

The survey is compulsory and non-response is insignificant. Response rate at the data published nationality and provided to Eurostat is the same. 

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

Statistical information is published in accordance with an approved Official Statistics Calendar.

100 per cent  of statistical information is released on time.

Statistical information is comparable within the EU countries.

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

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

Not applicable

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

Total cost (NSI) – 3278 hours per year.

Total burden (respondents) – 3408 hours per year.

Revisions of statistical indicators are performed in accordance with the General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators, approved by Order No DĮ-262 of 30 December 2013 of the Director General of Statistics Lithuania. 

Vintage data is not available.

The same revision policy is applied nationally and in Eurostat.

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.

Calendar adjustment models are revised once a year, data are revised for current year and 3 years backwards.  

Unscheduled revisions are performed when significant respondents’ errors detected after statistical indicators had been officially published.  The announced data are marked as revised.

The quarterly statistical Survey on Construction Enterprises Activity is carried out applying a sampling method. The sampling frame is based on information about enterprises in operation, their economic activity and the number of persons employed from the Statistical Business Register. A representative sample (1027 enterprises) comprising 11.8 percent of all construction enterprises in operating in the country was drawn for the year 2020. All enterprises with 50 and more persons employed were included in the sample, for other enterprises, a stratified random sampling method is used.

Activity and number of persons employed are used to stratify the population of active construction enterprises. A new sample is drawn every year.

The sample sizes in stratum (persons employed classes):

1-4  3.2 %

5-9  5.3 %

10-19  13.2 %

20-49  37.6 %

50 and more  100%

Quarterly

The data are collected using the questionnaire Report on Performance of Construction Works (KS-01)  via the Internet, in the electronic statistical data preparation and transmission system e.Statistika and email. Telephone contacts and emails or electronic reminders are used to increase the rate of response.

Statistical data logical and arithmetic control requirements are presented in the survey programming technical specification, therefore response and processing errors are checked at the data entry stage.

To ensure statistical data quality, primary database checking is performed; statistical data completeness and reliability are checked; the item and unit non-response rates are determined.

The secondary editing is performed on aggregated level, using SAS software outliers are identified and corrected.

The estimated 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.

In estimating the parameters, the missing data related to item non-response and unit non-response are compensated.  For the estimation of data on units non-response, the data from other statistical surveys (Labour statistics) is used. For other enterprises, that could not be estimated using other statistics, the corrected weights are used. For the imputation of item non-response, the previous periods' data submitted by those units are used. Estimates are computed using stratified random sampling formulas.   

The time series of hours worked index are calendar day adjusted, using the TRAMO/SEATS method  in Demetra+ (version 1.0.4). A direct method is used for this adjustment. 

The model is chosen using a detailed analysis module. Logarithm transformation is tested. Calendar factors are estimated, 2 regressors (Working days) are used, national holiday's calendar is used, leap year is adjusted. RegARIMA is used for the calendar adjustment.   
The significance levels, the number of outliers and statistics on residuals (residual normality, residual asymmetry, etc.) in data series are controlled.

Calendar adjustment models and parameters are fixed for one year and are revised once a year when the data of all reporting quarters is available. The horizon of revision takes 4 years: current year and 3 years backwards.

None