ESS Standard for Quality Reports Structure (ESQRS)
Contact | |
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Contact organisation | National Statistical Institute of Bulgaria |
Contact organisation unit | Unit Non-financial national and regional accounts, Macroeconomic statistics Directorate |
Contact name | Marin Gergov |
Contact person function | State expert |
Contact mail address | |
Contact email address | |
Contact phone number | +359 2 9857 537 |
Contact fax number | |
Statistical presentation | |
Data description | National accounts for Bulgaria are compiled according to the main methodological recommendations of the documents "System of National Accounts, 2008" (SNA 2008), an issue of EUROSTAT, IMF, OECD, UN and the World Bank, and "European System of Accounts, 2010" (ESA 2010), an issue of EUROSTAT. According to the ESA 2010 employed covers all persons - both employees and self-employed, engaged in some productive activity that falls within the production boundary of the system. Employees are defined as all persons who, by the agreement, work for another resident institutional unit and receive remuneration as a compensation of employees. The following categories are included: employees working under employment, civil or working without a contract. Self-employed persons - persons who are the sole owners, or joint owners of unincorporated enterprises in which they work. The indicator Hours worked is refer to the same categories for employment data. |
Classification system | National accounts aggregates by industry (up to A*64). ESA2010 uses aggregation levels of the NACE Rev.2 classification to define industry breakdowns (NACE stands for Nomenclature générale des Activités économiques dans les Communautés Européennes). NACE Rev.2 is a classification of economic activities widely used in statistics and in other domains. Requirements for the transmission of NACE Rev.2 series have been specified in the Commission Regulation (EC) No 715/2010 of 10 August 2010 |
Sector coverage | National accounts describe the total economy of a country. All units that have their centre of predominant economic interest in the economic territory of that country are covered. Two of the most important breakdowns are the breakdown by institutional sector and the breakdown by NACE Rev. 2 activity. Concerning the institutional sector breakdown, ESA 2010 distinguishes five mutually exclusive domestic institutional sectors: (a) non-financial corporations; (b) financial corporations; (c) general government; (d) households; (e) non-profit institutions serving households. The five sectors together make up the total domestic economy. Each sector is also divided into subsectors. |
Statistical concepts and definitions | All statistical concepts and definitions to be used in national accounts are described in Annex A of the ESA 2010 Regulation (link to blue book on ESA 2010 methodology). The two main sets of tables concern: (a) the institutional sector accounts; (b) the input-output framework, and the accounts by industry. According to the ESA 2010 employed covers all persons - both employees and self-employed, engaged in some productive activity that falls within the production boundary of the system. Employees are defined as all persons who, by the agreement, work for another resident institutional unit and receive remuneration as a compensation of employees. The following categories are included: persons engaged by an employer under a contract of employment; |
Statistical unit | National accounts aim to capture economic activity within the domestic territory. They combine data from a host of base statistics, and thus they have no common sampling reference frame. The elementary building blocks of ESA 2010 statistics are statistical units and their groupings. ESA 2010, defines two types of units, institutional units and local kind-of-activity units (ESA 2010, 1.54). Following the ESA 2010 2010 guidelines, in national accounts two types of units and two corresponding ways of subdividing the economy are used: (a) institutional unit; (b) local kind-of-activity unit (local KAU). The first type is used for describing income, expenditure and financial flows as well as balance sheets. The second type of units is used for the description of production processes and for input-output analysis. |
Statistical population | The national accounts population of a country consists of all resident statistical units (institutional units or local KAUs, see section 3.5). A unit is a resident unit of a country when it has a centre of predominant economic interest on the economic territory of that country — that is, when it engages for an extended period (one year or more) in economic activities on this territory. |
Reference area | The reference area for national accounts is the total economy of a country. The total economy of a country can be broken down into regions. The NUTS classification provides a single, uniform breakdown of the economic territory of (the Member States of) the EU. |
Time coverage | data starting from 2000 |
Base period | NA |
Statistical processing | |
Source data | Sources of data are statistical surveys are LFS and Quarterly and Annual statistical report on employees and wages and salary. Annual data are sum of quarterly data. |
Frequency of data collection | Annual. |
Data collection | Sample surveys. |
Data validation | Implementation of validated procedures for assessing data quality |
Data compilation | Implementation of validated procedures for assessing the quality of data and the development of estimation of the completeness of the data. |
Adjustment | |
Quality management | |
Quality assurance | Quality is assured by strict application of ESA 2010 concepts and by thorough validation of the data. |
Quality assessment | |
Relevance | |
User needs | National Accounts data is key information for economic policy monitoring and decision making, forecasting, for administrative purposes and for information of the general public and for economic research. Users of quarterly and annual national accounts data are typically interested in analysing structural changes in the economy from a medium-term perspective. |
User satisfaction | |
Completeness | BG NSI follows up the interest perceived from users on the basis of databases and downloads of the data. |
Data completeness - rate | |
Accuracy and reliability | |
Overall accuracy | BG NSI publishes all revision and explanations of the data. |
Sampling error | |
Sampling errors - indicators | NA |
Non-sampling error | NA |
Coverage error | NA |
Over-coverage - rate | NA |
Common units - proportion | NA |
Measurement error | NA |
Non response error | NA |
Unit non-response - rate | NA |
Item non-response - rate | NA |
Processing error | NA |
Imputation - rate | NA |
Model assumption error | NA |
Seasonal adjustment | NA |
Data revision - policy | National data are revised according to national schedules, and revisions are transmitted to Eurostat. Figures for the quarterly aggregates are revised on the base of new annual information. These dates are pre-announced in the release calendar on BG NSI's web-site. On these occasions, previously published figures are subject to revision for all variables and all quarters. |
Data revision - practice | National accounts data are subject to continuous routine revisions as new input data becomes available. This will typically also entail revisions of the national accounts aggregates, which are derived from these data. In BG national accounts two types of revisions are: Regular – quarterly, preliminary, final data; and Major - based on implementation of new methodology or GNI reservations. |
Data revision - average size | |
Timeliness and punctuality | |
Timeliness | |
Time lag - first results | The data transmitted to Eurostat are in compliance with ESA 2010 DTP and respective derogations for the country. |
Time lag - final results | The data transmitted to Eurostat are in compliance with ESA 2010 DTP and respective derogations for the country. |
Punctuality | |
Punctuality - delivery and publication | The data transmitted to Eurostat are in compliance with ESA 2010 DTP and respective derogations for the country. |
Coherence and comparability | |
Comparability - geographical | The comparability is insured by the application of common definitions of ESA 2010 |
Asymmetry for mirror flows statistics - coefficient | |
Comparability - over time | By using a common framework, the European System of Accounts ESA 2010, data can be comparable over time. |
Length of comparable time series | |
Coherence - cross domain | |
Coherence - sub annual and annual statistics | Annual and quarterly data for all sub domains of national accounts should be coherent. |
Coherence - National Accounts | Annual and quarterly data for all sub domains of national accounts should be coherent. |
Coherence - internal | Annual and quarterly data for all sub domains of national accounts should be coherent. |
Accessibility and clarity | |
News release | NA |
Publications | website of BG NSI |
On-line database | Data are available to all users of the NSI website under the heading Macroeconomic statistics -http://infostat.nsi.bg/infostat/pages/module.jsf?x_2=197 |
Data tables - consultations | |
Micro-data access | NA |
Other | NA |
Metadata - consultations | |
Documentation on methodology | European System of Accounts (2010) (Eurostat). The methodology is also available on BG NSI website. |
Metadata completeness – rate | |
Quality documentation | Quality is assured by strict application of ESA 2010 concepts and by thorough validation of the data |
Cost and burden | |
NA | |
Confidentiality | |
Confidentiality - policy | Law on Statistics; Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society. The European Statistics Code of Practice provides further conditions that have to be respected by statistical offices in regard to statistical confidentiality (Principle 5): The privacy of data providers (households, enterprises, administrations and other respondents), the confidentiality of the information they provide and its use only for statistical purposes are absolutely guaranteed. |
Confidentiality – data treatment | If data are with a confidentiality flag or are under an embargo date, these data are not published. |
Comment |