ESS Standard for Quality Reports Structure (ESQRS)
Contact | |
---|---|
Contact organisation | National Statistical Institute |
Contact organisation unit | Non-financial national and regional accounts |
Contact name | Margarita Tzvetkova |
Contact person function | State expert |
Contact mail address | 2, P. Volov Str.; 1038 Sofia, Bulgaria |
Contact email address | |
Contact phone number | +35929857659 |
Contact fax number | |
Statistical presentation | |
Data description | Input Output Tables(IOT) describe by product and industry the production processes and the transactions in products of the economy with great detail. They are elaborated and improved in compliance with internationally adopted methodological principles and standards of the European System of National and Regional Accounts(ESA'95, before 2010 and ESA'2010 from 2010 onwards - Eurostat edition) and of the System of National Accounts,(SNA'93, before 2010 and SNA'2008 from 2010 onwards) - a colaboration of the UN, OECD, Eurostat, IMF and the World Bank. SUT are based on the concepts and definitions for treating the transactions, the economic individuals and the classificatory principles of statistical units' grouping as they are applied in elsewhere in the System. |
Classification system | The European System of Accounts (ESA) 2010 is based on Nace Rev 2. The data refers to years 2010 onwards with the ESA 2010 methodology. Input-Output tables distinguish 64 industries . Data before 2010 are available under ESA1995 . |
Sector coverage | Total Economy |
Statistical concepts and definitions | The symmetric input-output tables are recorded in intervals of five years.A symmetric input-output table is a product-by-product or industry-by-industry matrix describing the domestic production processes and the transactions in products of the national economy in great detail. A symmetric input-output table rearranges both supply and use in a single table with identical classification of products (or industries respectively) employed for both rows and columns. The ESA 1995(Regulation 2223/96 of the European Council) for the IOT before 2010 and ESA 2010(Regulation(EU) 549/2013 of the European Parliament and of the Council) for the tables from 2010 onwards may be referred to for specific explanations concerning contents of the tables. |
Statistical unit | NA |
Statistical population | NA |
Reference area | The reference area for IOT are the total economy of a country. |
Time coverage | 2003 and 2010 |
Base period | NA |
Statistical processing | |
Source data | SUT |
Frequency of data collection | Five yearly |
Data collection | Exhaustively for all units |
Data validation | Implementation of validation procedures for assessing data quality |
Data compilation | Implementation of validation 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 | Quality assessment is assured by applying a set of validation rules in accordance with ESA 2010 concepts. |
Relevance | |
User needs | NA |
User satisfaction | NA |
Completeness | NA |
Data completeness - rate | |
Accuracy and reliability | |
Overall accuracy | NA |
Sampling error | |
Sampling errors - indicators | NA |
Non-sampling error | |
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 | NA |
Data revision - practice | NA |
Data revision - average size | NA |
Timeliness and punctuality | |
Timeliness | |
Time lag - first results | |
Time lag - final results | The data transmitted to Eurostat are in compliance with ESA 2010 DTP. Five yearly - 2010 onwards |
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 and common classifications used |
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 | By using a common framework, the European System of Accounts ESA 2010, data can be comparable over time. |
Coherence - cross domain | |
Coherence - sub annual and annual statistics | |
Coherence - National Accounts | Annual National Accounts and SUT a framework for the compilation of IOT |
Coherence - internal | Ensured by applying the main equations for compilation of IO Tables, as they stipulated in ESA 2010. |
Accessibility and clarity | |
News release | NA |
Publications | NA |
On-line database | NA |
Data tables - consultations | NA |
Micro-data access | NA |
Other | NA |
Metadata - consultations | |
Documentation on methodology | European System of National and Regional Accounts (ESA 1995) for the years before 2010 and (ESA2010) from 2010 onwards. |
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 | NA |
Comment |