ESS Standard for Quality Reports Structure (ESQRS)
| Contact | |
|---|---|
| Contact organisation | National Statistical Institute of Bulgaria |
| Contact organisation unit | Unit Non-financial national and regional accounts, Macroeconomic statistics Directorate |
| Contact name | Milen Kolev |
| Contact person function | head of unit |
| Contact mail address | |
| Contact email address | |
| Contact phone number | +35929857623 |
| Contact fax number | |
| Statistical presentation | |
| Data description | Imports by Member States of the EU/third countries. The data are recorded at current and constant prices and include the corresponding implicit price indices. |
| Classification system | Breakdowns of EU Member States (evolving composition) incl. EU institutions, Euro area (Member States and Institutions of the Euro Area) changing composition, Intra EU Extra Euro Area (EU member states and institutions not belonging to the Euro area) changing composition , All the European Union institutions and Extra-EU (evolving composition) |
| Sector coverage | National accounts describe the total economy of a country. |
| Statistical concepts and definitions | Balance of Payments (BPM6) |
| 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. An institutional unit is an economic entity characterised by decision-making autonomy in the exercise of its principal function. A resident unit is regarded as constituting an institutional unit in the economic territory where it has its centre of predominant economic interest if it has decision-making autonomy and either keeps a complete set of accounts, or is able to compile a complete set of accounts. A local KAU groups all the parts of an institutional unit in its capacity as producer which are located in a single site or in closely located sites, and which contribute to the performance of an activity at the class level (four digits) of the NACE Rev. 2. An institutional unit comprises one or more local KAUs; a local KAU belongs to one and only one institutional unit. |
| 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. National accounts combine data from many source statistics. The concept of statistical population is not applicable in a national accounts context. |
| 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 2006 |
| Base period | 2010 |
| Statistical processing | |
| Source data | Sources of data are statistical surveys are annual accounts of economic units and administrative data:Income and expenses, including statistical annexes; LFS, Quarterly statistical report on employees and wages and salary; Consolidated Statement of implementation of the state budget; Tax information,Balance of Payments (BPM6) and other. |
| Frequency of data collection | Quarterly data |
| Data collection | Sample surveys and exhaustive for budgetary units |
| 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 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 | Jdemetra+ |
| 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 and seasonally adjusted data are revised once per year on the base of new method revised once per year. 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 | In certain cases, data from other domains of economic statistics, i.e. balance of payments statistics, business statistics, household budget statistics or external trade statistics can be used for cross-checking purposes. These economic statistics are also available from the appropriate domains on BG NSI's website. |
| 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 | NA |
| On-line database | NA |
| Data tables - consultations | |
| Micro-data access | NA |
| Other | NA |
| Metadata - consultations | |
| Documentation on methodology | European System of Accounts (2010) (Eurostat). Balance of Payments (BPM6) |
| 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 | |
