ESS Standard for Quality Reports Structure (ESQRS)
National Statistical Institute
|Contact organisation unit|
"Short-term Business Statistics and Statistics of Transport” Department
|Contact person function|
|Contact mail address|
2, P. Volov Str.; 1038 Sofia, Bulgaria
|Contact email address|
|Contact phone number|
+359 2 9857 122
|Contact fax number|
The Industrial Production Index is the most important short-term economic business indicator, which aims to measure at a monthly frequency the ups and downs of industrial production during the long period of time. Monthly survey allows identifying the turning points in economic development at an early stage; also, the timely industrial production index is one of the most important measures of economic activity.
The Industrial Turnover Index measure the development of the market of goods and services. Turnover index gives measure of the development of the receipts of sales including the sales of goods (merchantmen goods) and services provided to other parties.
Industrial Production and Industrial Turnover Indexes measure changes in production and respectively in turnover between two different periods of time. This information is suitable for monitoring of current economic developments and short-term forecasts.The survey do not attempt to measure the actual production level; it aims to measure the average change in value of production between two points of time.
· Classification of economic activities (CEA-2008, for international use NACE.BG-2008);
· Main industrial groupings (MIGs).
Industrial Production and Industrial Turnover Indices are calculated by economic activities for Mining and quarrying industry, Manufacturing, Electricity, gas, steam and air conditioning supply and Water collection, treatment and supply (NACE.BG-2008 Sections B, C, D and Division 36). Indices are calculated by economic activities at division level (2-nd digit level of NACE.BG-2008), at section level, for Main Industrial Groupings (MIGs: Intermediate products, Investment products, Energy products, Consumer durable products and Consumer non-durable products) and for total Industry level.
|Statistical concepts and definitions|
Industrial Production index: This index aims to follow the monthly change in the value of industrial production. The industrial production index is compiled from deflated value of production. For the purpose of monthly survey the production value includes:
+ Receipts from sales of finished products, goods and services
- Value of goods purchased for resale in the same conditions as received
+/- Change in stocks of finished products
Deflation is done with the Producer price indices, resulted from the monthly PPI survey.
Turnover: The turnover comprises all market sales of goods and services of the observation units.
The surveyed unit is enterprise (Legal unit considered as enterprise).
The total population includes about 32 280 industrial enterprises. The sampling population includes about 9 200 enterprises with more than 10 persons employed of which sample of approximately 3 700 units are surveyed each month. The surveyed enterprises have an approximate share of 98.0% in the total turnover in industry.
At national level: The indices are calculated and published total for the territory of Bulgaria. At European level: Eurostat calculates and publishes aggregated data for EU Member States (EU28) countries and for the euro area (EU19) countries. Eurostat publishes data received from the 28 EU Member States, Norway and from the candidate countries.
The indices are published as time series from January 2000.
The indices are based on monthly survey “Sales in industry, construction, trade and services”.
For calculation the Indices of industrial production, NSI uses approximation to the ‘production value’ that is calculated as receipts from sales of finished products, goods and services minus value of goods purchased for resale in the same conditions as received, corrected with changes in stocks of finished products.
Turnover includes all receipts from sales (including sales of raw materials). Industrial production and turnover cover all activity of the enterprises, values of subsidiary, non-industrial activities of the enterprises are included.
|Frequency of data collection|
Sampling survey. The total population includes about 32 280 industrial enterprises. The sampling population includes about 9 200 enterprises with more than 10 persons employed of which sample of approximately 3 700 units are surveyed each month. The surveyed enterprises have 98.0% share in the total turnover in industry. The sample method used is Stratified Random Sample. Criterion for stratification of the enterprises is ‘number of persons employed’. First enterprises are stratified by groups (3-th digit level of NACE.BG-2008) and then in each group they are stratifies by number of persons employed. Enterprises with 100 or more employees are surveyed exhaustively. Enterprises employing between 10 and 99 employees are randomly sampled, enterprises that have less than 9 employees are not observed monthly. Data collection media: • Online through Information system “Short-term business statistics”; • Paper questionnaire. The questionnaires are sent out to the respondents and collected by regional statistical offices, where the information is entered into Information system “Short-term business statistics”.
Validation of data in the report:
When recording the data, the Information system STS carries out obligatory and recommended controls according to set with validation rules. In the case there are errors, it displays a warning dialog error in the report. The system does not allow completion of the report until they have corrected these errors by statutory controls.
Validation of the output data:
Output data is verified at group level with regard to the previous month, the same month of the previous year and also with regard to extreme values, if necessary data is validated at the level of statistical units.
The production value of industrial enterprises depends on quantities produced as well as depends on chances in prices. For Industrial production index compilation, the values are deflated with Producer price indices in order to isolate the price (inflation) fluctuations and the real production developments to be presented.
Turnover indices are calculated through direct comparison of the values of the turnover at current prices, turnover values are not corrected with the price changes. The Turnover indices reflect the development of the value of sales as well as changes in prices.
Calculation of Industrial production index:
The source for activity weight -value added at factor costs is Structural Business Statistics survey that is based on annual enterprise’s accounts, it is defined as difference between production value and intermediate consumption minus duties and taxes linked to production.
Calculation of Industrial turnover index:
Three Turnover indices are calculated: Turnover indices on domestic market, Turnover indices on non-domestic market and Total turnover indices.
First Turnover indices on domestic market and Turnover indices on non-domestic market are calculated. At the lowest level of aggregation (3-th digit level of NACE.BG-2008) indices calculation is made on the bases of direct comparison of the data from the current month and data on the average monthly turnover value in the base year.
At higher levels of aggregation Industrial turnover indices on domestic and on non-domestic market are calculated as weighted average - indices at lower levels are weighted with turnover structure on the domestic or respectively on the non-domestic market.
Total Industrial turnover indices are calculated from Turnover indices on domestic market and Turnover indices on non-domestic market weighted with the turnover structure on domestic and on non-domestic market to the total value of turnover at each level of aggregation.
The legal framework which regulates the production of data from Short-term business statistics states that statistical data compiled within the EU system must be of satisfactory quality and produced data are comparable between Member States. Verification of data is done through the process of conducting a statistical survey - from respondents, from experts in the regional statistical offices and from national experts in NSI. Identified inaccuracies and errors are removed timely and comparable data of good quality are provided. The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice. The documentation on quality management is available on the Internet.
The quality assessment of the Index of industrial production is based on quality requirements of the ESS (relevance, accuracy, timelines and punctuality, accessibility and clarity, coherence and comparability). The monitoring of the quality of the indicator, updating survey methodology, self-assessment of survey manager is carried out. The response rate is over 98 per cent. The coefficient of variation used as the main measure of the accuracy of estimate is about 0.2 per cent.
Main users of the information:
· Institutions at European level and Multi-national organizations - Eurostat and other main Departments (Directorates-General) of EC; ECB; UN; IMF; WB; etc.;
· Presidency, National Assembly, Ministries, National Bank and other representatives of central and local government;
· Research institutes, universities;
· Media, professional organizations, business;
· Internal users: Directorate "Macroeconomic Statistics".
The scope and the level of detail meet the requirements. The time series starts form January 2000.
|Data completeness - rate|
|Accuracy and reliability|
Sampling survey: The total population includes about 32 280 industrial enterprises. The sampling population includes about 9 200 enterprises with more than 10 persons employed of which sample of approximately 3 700 units are surveyed each month. The surveyed enterprises have 98.0% share in the total turnover in industry.
Еnterprises that have less than 9 employees which have share of 76.8% in terms of the number of industrial companies and only 2.0 % in terms of the turnover are not observed monthly.
The sample method used is Stratified random sample. Criterion for stratification of the enterprises is ‘number of persons employed’. First enterprises are stratified by groups (3-th digit level of NACE.BG-2008) and then in each group they are stratifies by number of persons employed.
Coefficient of variation is used as an indicator on precision. It is computed as a percentage.
|Sampling errors - indicators|
Coefficient of variation for June 2018 for Total Industry is 0.2 per cent; for Mining and quarrying industry is 0.6 per cent; for Manufacturing is 0.2 per cent; for Electricity, gas, steam and air conditioning supply is 0.3 per cent.
The main source of non sampling errors are the missing reports.
There are several strategies in dealing with non-response: (1) Effective actions are taken before and after data collection process in order the non-response rate to be reduced. (2) Usage of presumable models for the mechanism of the non-response and for relations of different indicators in order to create estimators, which are able to correct estimates in the case of non-response.
Actions to reduce the non-responce include:
The Register of statistical units (RSU) is the source of the sampling frame. RSU has direct online connection with the Trade Registry so the main characteristics of surveyed units are on-line updated. During the year the ceased enterprises are removed from the sample and new born enterprises from the exhaustive strata are included in the sample.
|Over-coverage - rate|
The over-coverage and under-coverage of the survey population is rather small because the online connection between our Register of statistical units and Trade register assures a reliable sampling frame.
|Common units - proportion|
The main source of errors is the measurement errors which arise at the data collection stage for variety of reasons, for example respondents misunderstanding what information is required or non-providing precisely the desired information. NSI make efforts to avoid these errors by providing assistance to the reporting units, improving the instructions attached to the questionnaire, assisting the statisticians in Regional statistical offices. Most of the measurement errors are detected and corrected through the logical and arithmetical controls of the Information system “Short-term statistics”. The system carries out the statutory and warning controls and in a case there are errors, it displays a warning dialog error in the report. The system does not allow completion of the report until they have corrected these errors by statutory controls.
|Non response error|
Missing reports are estimated. In the case of non-responding enterprise from exhaustive strata, imputation is made for each non-respondent enterprise separately using different techniques for estimation the missing values. Non-responses in sampling strata in the most cases are estimated by adjusting the extrapolation coefficients to make account of response rates.
|Unit non-response - rate|
The overall average response rate is around 99.0 per cent in terms of the number of enterprises and about 99.7 per cent when weighted with turnover. It varies significantly, depending on the principle activity and size of the enterprises.
|Item non-response - rate|
The item non-response occurred for a negligible part of the surveyed units.
Production value is deflated using producer price indices and weighted using value added from SBS survey. Errors and inconsistencies in those data sources may affect accuracy of the Industrial Production Index.
|Imputation - rate|
The data for non-responding units that are imputed. The imputation is done only in case where there is information that the non-respondent units are active. The share of imputations in March 2018 for the ITI data was 0.04% in term of the number of units and less than 0.01% in term of the turnover.
|Model assumption error|
No models are used. The estimation of non-response, especially if big enterprises' values are missing tends to result in under- or overestimating the real development. Therefore the different imputation methods for missing data are tested and analysed.
In accordance with Regulations concerning STS only Industrial production indexes are seasonally adjusted (Index of turnover in industry are not seasonally adjusted, only original (not seasonally adjusted) data are published. Industrial production indexes are published as: • Raw time series; • Working day adjusted time series; • Seasonally adjusted time series. In accordance with Regulations concerning STS, the Industrial Production Indices are to be seasonally and working day adjusted. The software used for seasonally and working day adjustment is JDemetra +. The method used is TRAMO-SEATS. The time series at different levels of aggregation (division, section, MIGs and total industry) are seasonal and working day adjusted by applying the direct method. Revisions of seasonally and working day adjusted data: • model updated once a year including revision of historical data, • monthly observations presented with revision 1 month backwards.
|Data revision - policy|
Industrial production indices and turnover indices in industry usually are revised two times. Each month data for the current month are published as preliminary and for the previous month as final. At the beginning of each year the indices for the previous year are reconciled on the basis of the comprehensive annual data from SBS.
Revision policy in the case of Industrial Production Index and Industrial Turnover Indices:
Mean Absolute Revision (MAR) and Mean Revision (MR) are used as revision indicators for the Producer Price Indices. They are calculated on year-on-year growth rates for original and calendar adjusted date and on period-on-period for the seasonally adjusted data. MAR and MR for original, seasonally adjusted and calendar adjusted data for 2016-2018:
|Data revision - practice|
Minor changes are made at the time when the revision is introduced and they are marked in footnotes in the relevant published tables.
The data for the current month are marked as ‘preliminary data’.
Only final data are available in the time series posted on the NSI website
|Data revision - average size|
Industrial Production Index:
Mean revisions (MR): -0.037 (for January 2014-October 2016); 0.0196 (for January 2015-October 2016); -0.0883 (for January 2016-October 2016). Mean absolute revisions (MAR): 0.2831 (for January 2014-October 2016); 0.2707 (for January 2015-October 2016); 0.3068 (for January 2016-October 2016).
|Timeliness and punctuality|
The Industrial Production Indices and Industrial Turnover Indices (total, on domestic and on non-domestic market) are firstly released 37-40 days after the end of the reference month. Data for the current month are provisional when first released. Provisional data are identified in footnotes. During the current month more precise data for the previous month are collected. Each month data for the current month is released as preliminary and data for the previous month as final.
|Time lag - first results|
The first results are published 37-40 days after the end of the reference month
|Time lag - final results|
Each month data for the current month is released as preliminary and data for the previous month as final, so final data are published 67-70 days after the reporting month.
Industrial production indexes are published, according to the deadlines in the EU Regulations on STS (40 days after the reference month), while Turnover indexes are published 20 days before to the deadlines in the EU Regulations on STS (60 days after the reference month).
|Punctuality - delivery and publication|
NSI transmits the short term indicators to Eurostat at the day of the national publication.
|Coherence and comparability|
|Comparability - geographical|
Indices of industrial production and Turnover indices are representative for the whole country, they are not representative for the regions of the country.
To calculate the index of industrial production and turnover indices NSI apply methodology, which is in line with international standards. In this sense, the comparability of the indicators across countries can be considered as very good.
|Asymmetry for mirror flows statistics - coefficient|
|Comparability - over time|
Regulation (EC) № 1165/98 requires “Every five years, Member States shall rebase the indices using as base years the years ending with a 0 or a 5. All indices must be rebased on the new base year within three years after the end of the new base year“. In compliance with these requirements since January 2018 the base year for Short-term business statistics has been changed. All short-term indicators presented in the form of index are calculated and published at 2015 as a base year. The time series has been recalculated according to the new base year and are posted on the website of NSI.
|Length of comparable time series|
The monthly Industrial production indices and Industrial turnover indices are presented as time series from January 2000.
|Coherence - cross domain|
The methodology applied for calculation of the index of industrial production and industrial turnover indexes is in line with international standards.
|Coherence - sub annual and annual statistics|
Industrial production indices and Industrial turnover indices are compared with production value and turnover indices calculated on the base of annual Structural business statistics (SBS) survey. Also SBS is the source of weights for calculation the STS indicators.
Data received from SBS and those receives from STS are coherent. The existing differences mainly are due to:
Coverage. SBS survey is conducted exhaustively and all enterprises are legally obliged to submit their Annual Reports to the National Statistical Institute. The STS surveys are sampling surveys. The target population for IPI survey is consist of enterprises with 10 and more persons employed.
Definition. Annually with SBS survey all elements of ‘production value’ is collected. Production value is based on:
-Value of goods purchased for resale in the same conditions as received
+/- Change in stocks of finished products and +/- Change in work in progress manufactured by the unit
+ Capitalized production
+ Other operating income
Monthly for compilation of industrial production index only main elements of production value are collected:
- Value of goods purchased for resale in the same conditions as received
+/- Change in stocks of finished products
Weighting. For compilation of higher-level monthly industrial production indices are weighted by value added at factor cost taken from the structural business statistics survey for the base year, respectively turnover indices are weighted with turnover structure from the base year. Indices calculated from SBS data are not weighted.
|Coherence - National Accounts|
Industrial production indices are used for compilation of the quarterly national accounts flash estimates.
|Coherence - internal|
All NACE levels is consistent as Industrial production indexes and Industrial turnover indexes at higher levels of aggregation (2-nd digit level and higher) are calculated as weighted average - indexes at lower levels are weighted respectively with the value added at factor cost structure and turnover structure in the base year. In the case of WDA and SA data, direct adjustment is used.
|Accessibility and clarity|
NSI publishes regular monthly press release on Industrial production indexes 37-40 days after the end of the reference month and it can be found here.
Paper publication: Brochure "Bulgaria".
Industrial Production Indexes and Industrial Turnover Indexes time series (from January 2000) at 2-nd digit and higher level of aggregation of NACE.BG-2008 are available on the website of NSI – in the on-line database INFOSTAT.
|Data tables - consultations|
Micro data are neither distributed nor provided to the users.
Dissemination on request: Special tables may be obtained from the "Relations with users and e-services" Department of NSI.
|Metadata - consultations|
|Documentation on methodology|
· Methodology "Industrial production index, Turnover indices in industry" ;
|Metadata completeness – rate|
Regulation (EC) № 1165/98 and amendment Regulation (EC) № 1158/2005 on Short-term statistics required by the European Commission (Eurostat) regularly (every three years) to report to the European Parliament on the applicability of short-term data, their quality and revisions of the data. Every year Member States should present to Eurostat detailed information about the quality of a particular short-term indicator, which is part of the Principal European Economic Indicators (PEEIs). Metadata on IPI containing information on the main quality characteristics (relevance, accuracy, data revisions, coherence and comparability) is prepared and disseminated on the NSI website.
The documentation on quality management is available on the Internet.
|Cost and burden|
In 2012 was developed and implemented an online information system for data collection, data editing and data processing of STS information. Information system “Short-term statistics” provides more efficient way of collecting data from enterprises. This new system save recourses, reduce the burden of the reporting units and the quality of short term indicators is improved.
|Confidentiality - policy|
Regulation (EC) 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009, 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 democratic society.
The Law on Statistics includes provisions relating to data confidentiality and protection of secrecy, which are in compliance with the EU legislation and standard European practice. In the Law is stated that individual data received and collected at the time of statistical surveys shall be statistical confidentiality and shall be used only for statistical purposes. Individual data, obtained for the purposes of the statistical surveys, shall not be used as evidence to the bodies of the executive powers and the judicial authorities. Requirements, obligations and measures for data protection, as well as fines that can be imposed, are treated in separate chapters, namely Chapter 6 on "Protection of secrecy" and Chapter 9 on "Administrative penal provisions".
|Confidentiality – data treatment|
Article 25 of the Law on Statistics specifies the criteria, according to which certain data cannot be made public or released - individual data, data which could be indirectly identified, as well as aggregations of less than three statistical units and/or when the relative share of one parameter is more than 85% of the total volume of this parameter for all population units.
Data, which according to the Law on statistics are confidential, are not published.