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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | STATISTICS AUSTRIA |
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1.2. Contact organisation unit | Directorate “Macro-economic Statistics” Prices. Statistics Austria compiles the index. No other institutions are involved in the production of this index. |
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1.5. Contact mail address | Guglgasse 13A, 1110 Wien, Austria |
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2.1. Metadata last certified | 16/05/2024 | ||
2.2. Metadata last posted | 16/05/2024 | ||
2.3. Metadata last update | 16/05/2024 |
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3.1. Data description | |||
Name of indicator/source: the industrial producer price index ("Erzeugerpreisindex für den Produzierenden Bereich") is calculated on the basis of real price information. The producer price is defined as the invoiced amount of a sold product during the reference period (ex-factory price). This amount excludes the value added tax. All price-determining characteristics of the products are taken into account, including quantity of units sold, transport provided, rebates, service conditions, guarantee conditions and destination. |
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3.2. Classification system | |||
NACE Rev. 2. |
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3.3. Coverage - sector | |||
Activities covered: the index covers Sections B to E36 of NACE Rev. 2. The PRODCOM classification is also used. Size classes covered: employment-size-classes and additionally turnover-size-classes: enterprises with at least 20 persons employed and a turnover threshold of EUR 1.5 million (excluding VAT) per year, taking into account that 90% of national production in each NACE Division should be represented. |
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3.4. Statistical concepts and definitions | |||
List and definition of variables: the index aims to show the monthly development of producer prices for goods manufactured in Austria. The Austrian producer price index is calculated on the basis of real price information (NACE Rev. 2 Sections B to E36) with the reference year 2021=100. Accounting conventions: A particular day during the reference month (15th of each month). |
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3.5. Statistical unit | |||
Reporting unit: prices are provided by establishments (or enterprises). Observation unit(s): KAU (kind of activity unit). |
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3.6. Statistical population | |||
The target population covers the sections B to E36 of NACE Rev. 2 (not covered are the classes of NACE Rev. 2: 07.21, 24.46, 25.4, 30.1, 30.3, 30.4 and 37 to 39). The observation units of the target population produces products within the activity range specified in question above. The frame for identifying observation units for the population is the PRODCOM survey, in which enterprises with at least 20 persons employed and a turnover threshold of EUR 1.5 million (excluding VAT) per year, taking into account that 90% of national production in each NACE Division should be represented. The number of units in the population of interest (PRODCOM survey) encompasses about 6,800 units. |
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3.7. Reference area | |||
Geographical area covered: All regions of Austria are covered. |
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3.8. Coverage - Time | |||
Date of first use as a source: up to December 2004 the producer price index in Austria was calculated on the basis of unit values from the Prodcom survey (323 good categories and 555 reporting units) and real price information from the wholesale price index (93 products and 90 reporting units) and the index of machinery and transport equipment (79 products and 248 reporting units). |
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3.9. Base period | |||
The current reference year is 2021 (2021=100). There are no different base and reference periods released nationally. For national publication Austria switched to the current reference period 2021=100 in 2022. By using chain-linking method the reference period is based on December of the previous year. The base year on which the weights are based: The micro-weights for the PRODCOM (10-digit) headings are based on the PRODCOM survey (t-1) and the macro-weights for CPA 6-digit headings and higher aggregates are based on the input/output statistics (makematrix, t-2). |
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Indices. |
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A particular day during the reference month (15th of each month). |
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6.1. Institutional Mandate - legal acts and other agreements | |||
Legal basis:
Obligation on units to provide data: there is a legal obligation for the units to report, it is regulated in the Federal Law GAZETTE II No. 147/2007 as amended. |
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6.2. Institutional Mandate - data sharing | |||
Producer price indices are transmitted to Eurostat, OECD and UN. |
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7.1. Confidentiality - policy | |||
Dissemination of terms and conditions under which official statistics are produced, including confidentiality of individual responses: The legal basis is:
The Federal Statistics Act includes a general obligation to publish statistics. |
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7.2. Confidentiality - data treatment | |||
Treatment of confidential data: aggregations consisting of data of less than 3 establishments are regarded as confidential and therefore not published. |
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8.1. Release calendar | |||
Advance dissemination of release calendar: a release calendar covering release dates of the first/second half of the year is published on the website of Statistics Austria. |
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8.2. Release calendar access | |||
8.3. Release policy - user access | |||
Simultaneous release to all interested parties: no users have prior access to the data before its general release. Data are made available to all users simultaneously in the STATISTICS AUSTRIA press release, which is disseminated by the Austrian Press Agency. The press release is also available on the website of STATISTICS AUSTRIA. According to the release calendar, data are transmitted to Eurostat at the same time of national publication 30 days after the end of the month. The Federal Act on Federal Statistics (Federal Statistics Act 2000) explicitly states in §30 (3) the obligation of STATISTICS AUSTRIA to inform without delay the Federal Minister responsible for the subject matter concerned about the results of statistical surveys and to publish them simultaneously. Identification of internal government access to data before release: Data are published on the website of Statistics Austria according to the release calendar and no users have prior access to the data. The Federal Statistics Act (Bundesstatistikgesetz 2000, the Federal LAW GAZETTE I No. 163/1999 as amended) explicitly states in §30 (3) the obligation of STATISTICS AUSTRIA to inform without delay the Federal Minister responsible for the subject matter concerned about the results of statistical surveys and to publish them simultaneously. Transmission to Eurostat and further use of the statistics: according to the release calendar - 30 days after the end of the reference period. At the time of national publication data are transmitted to Eurostat via eDAMIS using SDMX. The level of detail corresponds to the 2-digit-level of NACE and all aggregations (Subsections, Sections, MIGs and the aggregate of Sections B to E36) for the total market, domestic market, non-domestic market. The industrial producer price index is also transmitted to the Austrian National Bank. |
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National dissemination and data transmission to Eurostat are monthly. |
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10.1. Dissemination format - News release | |||
Identification of ministerial commentary on the occasion of statistical releases: the press release coverages the data of the total market. No ministerial commentary is attached to the release of data. |
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10.2. Dissemination format - Publications | |||
Name of national paper publications:
Name of national electronic dissemination:
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10.3. Dissemination format - online database | |||
Time series for:
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10.4. Dissemination format - microdata access | |||
Not applicable. |
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10.5. Dissemination format - other | |||
Data are sent to Eurostat. |
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10.6. Documentation on methodology | |||
Dissemination of documentation on methodology and sources used in preparing statistics: Methodological papers: The national quality report of the industrial producer price index (STATISTICS AUSTRIA: Standarddokumentationen) can be acquired on Statistics Austria web site. Statistische Nachrichten" (Statistical Bulletin):
Internet:
Description of standard tables produced: The indices:
The data are presented monthly as:
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10.7. Quality management - documentation | |||
The national quality report of the industrial producer price index (STATISTICS AUSTRIA: Standarddokumentationen) can be acquired on Statistics Austria web site. |
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11.1. Quality assurance | |||
Summary description of quality criteria calculated for national purposes: there exists a national quality report of the industrial producer price index on the homepage of Statistics Austria (Standarddokumentationen).
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11.2. Quality management - assessment | |||
Qualitative assessment of the overall quality of the statistical outputs: Total quality management principles are laid down in the Austrian Federal Statistics Act (§ 24) and in the mission statement of Statistics Austria. Quality checks (feedback meetings) are conducted regularly as well as quality reports are provided to the public. Quality feedback meetings take place with users, external experts and the Quality Assurance Committee of the Statistics Council. |
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12.1. Relevance - User Needs | |||
Users and their needs: users are Eurostat, government department, national central bank, ECB, IMF, Oecd, media, researchers & students, enterprises/businesses, internal users. Producer price indices can be used as an economic indicator, as a deflator of other economic series and as the basis for indexing prices in contracts (escalation or indexation). |
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12.2. Relevance - User Satisfaction | |||
Users and their satisfaction: Eurostat, institutions and internal users use them for deflation and economic analysis. Enterprises/businesses use them for indexation of contracts and as economic indicators. Researchers and students and media need them for economic analysis. In Article 24 of the Federal Statistics Act it is stated that "statistics shall be subject to permanent control with the aim of improving quality"; Statistics Austria's current feedback meetings on quality serve as an instrument of monitoring users’ needs concerning quality aspects; users, external experts and the Quality Assurance Committee of the Statistics Council are invited to participate in this meetings, as well as for their comments on quality reports. |
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12.3. Completeness | |||
Availability of statistics: Austria provides all producer price indices according to the relevant EU and Austrian national regulations. |
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13.1. Accuracy - overall | |||
The producer price index satisfies the principle of accuracy as it reflects a true picture of the development of producer prices within a certain economic activity. The following issues are important for the accuracy of the PPI:
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13.2. Sampling error | |||
A cut-off sample (which underlies no principle of probability) is used for the most important product groups and most important units therefore an indication of a sampling error is not possible. The used method of the sampling procedure enables a high level of representativeness, both for the selection of products and the selection of units. Due to the fact that the selection of product groups and units is carried out on detailed level (CPA 6 digit, PRODCOM), the identification of homogenous products is possible so that a representative figure of price changes is guaranteed. The basket of goods consists of about 1,200 representative product groups (approximately 10,000 individual prices) which are surveyed at approximately 1,600 reporting units. Despite the reduction of the most important product groups and units (see 18.1 source data) the survey covers an overall production value of about 70% (reporting period 2023). |
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13.3. Non-sampling error | |||
Coverage errors: The Prodcom survey which has a minimum coverage of 90% of national production in each NACE Division guarantees a sufficient comprehensive source of data for the basket of goods. Data collection errors: Data collection errors are identified within the data validation and will be eliminated afterwards. Every reporting month about 0.02% of approximately 10,000 individual prices are determined for the preliminary results (t+30). Unit and item non-response (missing data): in average there are about 0.2% item non-response (missing of single item information like price or otherprice-determining characteristics of the product) of approximately 10,000 data sets for the preliminary results (t+30) (which are eliminated after the data validation) and there are about 1% unit non-response. Data processing errors: Not known. Model errors: The PPI according to NACE is an index by activity and covers the price development of the characteristic and non-characteristic production within NACE B-E36. The production of NACE divisions 41-96 is not covered. Data quality of the used sources:
Preliminary results are released after 30 days (t+30), final results after 60 days (t+60) (except reference month January t+65). Unit response rate: The unit response rate of the first estimates in the reference year is 99.4%. It is an average of the twelve month in the reference year. The unit response rate for each month is calculated as the number of reported respondent units divided by the total number of respondent units. Actions to speed up or increase the rate of unit response: Missing responses are requested by telephone contacts followed up by two e-mail reminders. |
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14.1. Timeliness | |||
Timeliness: according to the release calendar the producer price index is published 30 days after the end of the reference month (provisional data) and 60 days after the end of the reference month (final data; except reference month January t+65). Timetable of data collection: Data are collected on the 15th day of each month. The reporting unit is asked to reply by the 14th of the following month. Provisional data are published at t+30 days, final data at t+60 (except reference month January t+65). |
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14.2. Punctuality | |||
No time lag between the actual delivery and the target date when it should have been delivered, except reference month January. This is due to the late availability of prodcom data for updating the weights of PPI annually. |
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15.1. Comparability - geographical | |||
The same statistical concepts are applied for the entire national territory. |
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15.2. Comparability - over time | |||
Time series for NACE Rev. 2 are comparable over time. |
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15.3. Coherence - cross domain | |||
Price developments are measured at the different stages of the economic process. At the production stage, there are producer price indices for agricultural and forestry products, for industrial products, for business services, and for the construction industry. At the distribution stage, there are the wohlesale price indices and the foreign trade price indices (import price indices, export price indices). Together, these price indices form a system of indices that not only allows price development on the different markets to be monitored, but also, and most importantly, enables conclusions to be drawn about price trends in the economy as a whole. The fact that goods and services at the individual economic stages are subject to a value added process means that the individual price indices are never indepentent but, rather, interdependent. Dissemination of information that support statistical cross-checks and provide assurance of reasonableness: Other data sets (but only limited cross-checks are possible):
Confrontation with other data sets: Cross-checks with other surveyed data such as ad hoc unit value indices and indices from the wholesale price index. |
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15.4. Coherence - internal | |||
Coherence - internal: Weights are price-updated up to December of the previous year. |
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In 2023 the burden on respondents was 3,992 hours per year. Cost and burden cover the STS requirements as well as the national and other Eurostat needs. To reduce respondent’s burden a web-based questionnaire is mainly used. |
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17.1. Data revision - policy | |||
Provision of information concerning the transparency of disseminated data: Data are provisional when first released in the monthly press releases and become final when the following index is released. This revision policy is described in footnotes to the relevant tables. A revision calendar exists on the homepage of Statistics Austria. Users can find the dates of publication for provisional data and final data (see also Concept 8.1). The same revision policy is applied to data released nationally and transmitted to Eurostat. Major revisions: according to the Regulation (EU) 2019/2152 indices should be rebased every five years, using as reference years the years endings with a 0 or a 5 (except 2021=100). |
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17.2. Data revision - practice | |||
Provision of information about revision and advance notice of major changes in methodology: Revisions are made regularly:
This revision policy is described in footnotes to the relevant tables. The Quality Indicators used in the data revision practice are: MAR (Mean Absolute Revision) and MR (Mean Revision) of year-on-year growth rates. The computed values for the last 36 monthly total PPI (domestic market) are: MAR=0.0583 and MR=0.0083. The release calendar is published in advance. |
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18.1. Source data | |||
Type of source: Statistical survey. Frame on which the source is based: Prodcom survey and business register (UR- "Unternehmensregister”). Sample or census: Sample. Criteria for stratification: CPA 4 digits and CPA 6 digits, and PRODCOM headings. Threshold values and percentages: the data base for the selection of products and units is the PRODCOM survey. A cut-off sample of the most important product groups and most important units in each CPA stratum is used: 1. The most important CPA 6 digits per CPA 4 digit are selected: the production value of each selected CPA 6 digit covers more than 15% (threshold) of the production value of each CPA 4 digit. 2. The most important PRODCOM per CPA 6 digit are selected: the production value of each selected PRODCOM covers more than 15% (threshold) of the production value of the CPA 6 digit. 3. For each selected PRODCOM at least 3 of the most important units (with the highest production value) are selected. Sample size: The basket of goods consists of about 1,200 representative product groups (approximately 10,000 individual prices) which are surveyed at approximately 1,600 reporting units. Frequency of updating the sample: annually. Selection of new top-selling products and reporting units from the last available Prodcom survey data as well as eliminition of products and reporting units from the sample. |
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18.2. Frequency of data collection | |||
Periodicity of data collection: Data are collected on a monthly basis. |
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18.3. Data collection | |||
Questionnaires used in the survey: Combination of:
Data collection media: Web-based questionnaires (about 90% of the respondents use this type of questionnaire), mail questionnaires and interview by phone. |
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18.4. Data validation | |||
Validation level 0: Format and file structure checks. Validation level 1: Checks are based at the level of each cell for the whole record to ensure completeness. Validation level 2 and 3: Mirror checks with the record of the previous month are applied to identify changes in the cells. Validation level 4: Cross-checks with the wholesale price indices. Validation level 5: Cross-checks with unit value indices - data base for the calculation of the unit values comes from the Prodcom survey, various stock exchange prices. |
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18.5. Data compilation | |||
Estimates for non-response: Treatment of missing prices: extrapolation using the average price development of all remaining products in the elementary aggregate, carry forward the last surveyed price, expert approximation. Type of index: the Austrian producer price index is a chain-linked Laspeyres Index, reference year is 2021, with revised weights (annually) and revised basket of products and reporting units (annually). The chain-linking method one month overlap (December of the previous year) is used. The index is compiled on the basis of real price information. The weights are based on the value of production sold. The micro-weights for the PRODCOM (10-digit) headings are based on the PRODCOM survey (t-1) and the macro-weights for CPA 6-digit headings and higher aggregates are based on the input/output statistics (makematrix, t-2). Weights are price-updated up to December of the previous year. Index compilation: Stage 1 - for each price quote series (this is one single product for one observation unit) a price relative is compiled for the entire time series. Stage 2 – an unweighted average (geometric mean) is made of these price relatives for all products in the same Prodcom 10 digit heading. Stage 3 – these Prodcom 10 digit heading indices are combined using weights (value of sold production) from the Prodcom survey. Stage 4 – the higher level indices are aggregated using weights (value of sold production- domestic) from the input/output statistics (makematrix, t-2). This weighted aggregation is done for all levels of NACE and MIGS including an industrial total. Selection of replacement items: products are replaced when their market position starts declining or when the product becomes permanently unavailable. The replaced product should have the same quality characteristics as the old one and, if possible, any differences in the quality are removed. Adjustments for quality differences: following methods are used for quality adjustments: direct price comparison, automatic linking, overlap pricing, expert estimation. Method of weighting and chaining: the weights are updated annually, the chain-linking method one month overlap (December of the previous year) is used. The micro-weights for the PRODCOM (10-digit) headings are based on the PRODCOM survey and the macro-weights for the CPA 6-digit headings and higher aggregates are based on the input/output statistics (makematrix, t-2). Weights are price-updated up to December of the previous year. |
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18.6. Adjustment | |||
No working day or seasonal adjustment is foreseen. |
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Not available. |
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