Economic accounts for agriculture (aact)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Statistics Estonia


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Statistics Estonia
1.2. Contact organisation unit

Enterprise and Agricultural Statistics Department
1.5. Contact mail address

Tatari 51, 15174 Tallinn Estonia


2. Statistical presentation Top
2.1. Data description

Main characteristics

2.1.1 Describe shortly the main characteristics of the statistics  

The Economic Accounts for Agriculture (EAA) provide detailed information on income in the agricultural sector. The purpose is to analyse the production process of the agricultural industry and the primary income generated by this production. The accounts are therefore based on the industry concept. The EAA accounts are detailed data on value of output (producer prices and basic prices), intermediate consumption, subsidies and taxes, consumption of fixed capital, rent and interests, capital formation etc. The values are in current as well as in constant prices. Agricultural Labour Input (ALI) and Unit Values (UV) are an integrated part of the overall concept of Economic Accounts for Agriculture.


Reference period

2.1.2 Reference period of the data collection 

2017
2.1.3 Is the reference period based on the calendar year starting January 1st and ending December 31st? Yes
2.1.4 If No, please specify


National legislation

2.1.5 Is there a national legislation covering these statistics?  No
If Yes, please answer all the following questions.  
2.1.6 Name of the national legislation 
2.1.7 Link to the national legislation 
2.1.8 Responsible organisation for the national legislation 
2.1.9 Year of entry into force of the national legislation 
2.1.10 Please indicate which variables required under EU regulation are not covered by national legislation, if any.
2.1.11 Please indicate which national definitions differ from those in the EU regulation, if any. 
2.1.12 Is there a legal obligation for respondents to reply? 


Additional comments on data description
2.2. Classification system

The EAA is an integral part of the European system of accounts and therefore for their compilation the Eurostat's general classification of economic activities, NACE Rev. 2, is used.
2.3. Coverage - sector

EAA cover the Agricultural sector.
2.4. Statistical concepts and definitions

One of the principal objectives of the EAA is to measure agricultural income and changes therein.
The three agricultural income indicators can be described as follows:
Indicator A: index of the real income of factors in agriculture per AWU
Indicator B: index of real net agricultural entrepreneurial income, per non-salaried AWU
Indicator C: net entrepreneurial income of agriculture

All statistical concepts and definitions are stated by the Regulation (EC) No 138/2004 of the European Parliament and of the Council.
2.5. Statistical unit

In order to analyse flows generated by the production process and the use of goods and services, it is necessary to select units which emphasise relationships of a technico-economic kind. This requirement means that as a rule institutional units must be partitioned into smaller and more homogeneous units with regard to the kind of production. Local kind-of-activity units (local KAUs) are intended to meet this requirement as a first but practically-oriented operational approach.

In Estonia also agricultural small units are covered. 
2.6. Statistical population

The agricultural holding, which is the unit currently used for statistical studies of agriculture (censuses, surveys of the structure of agricultural holdings), is the local KAU most appropriate to the agricultural industry. In addition to agricultural holdings, the agricultural industry comprises units made up of groups of producers (e.g. cooperatives) which produce wine and olive oil and specialised units which provide machines, material and labour for the performance of contract work.

In Estonia also agricultural small units are covered.
2.7. Reference area
2.7.1 Geographical area covered

The entire territory of the country.

Estonia as a whole.
2.7.2 Which special Member State territories are included?
2.8. Coverage - Time

Economic Accounts for Agriculture 1995–…
2.9. Base period


3. Statistical processing Top
3.1. Source data

Overall summary

3.1.1 Total number of different data sources used

30
The breakdown is as follows: 
3.1.2 Total number of sources of the type "Census"

7
3.1.3 Total number of sources of the type "Sample survey"

9

 
3.1.4 Total number of sources of the type "Administrative source"

4
3.1.5 Total number of sources of the type "Experts"

0
3.1.6 Total number of sources of the type "Other sources"

10

 


Census

If there is a specific census conducted in your country to collect data exclusively for the EAA please describe it in this part. For other data sources please use table 3.1 in the annexed Excel file. If metadata already exist just provide the name of the data source. 
3.1.7 Name/Title
3.1.8 Name of Organisation responsible
3.1.9 Main scope
3.1.10 List used to build the frame
3.1.11 Any possible threshold values
3.1.12 Population size
3.1.13 Additional comments

There are several data collections for EAA purposes; they are presented in the Annex.


Sample survey

If there is a specific survey conducted in your country to collect data exclusively for the EAA please describe it in this part. For other data sources please use table 3.1. If metadata already exist just provide the name of the data source.(e.g. FSS, Crop production, Animal production, Prices in Agriculture) 
3.1.14 Name/Title
3.1.15 Name of Organisation responsible
3.1.16 Main scope
3.1.17 List used to build the frame
3.1.18 Any possible threshold values
3.1.19 Population size
3.1.20 Sample size
3.1.21 Sampling basis
3.1.22 If Other, please specify
3.1.23 Type of sample design
3.1.24 If Other, please specify
3.1.25 If Stratified, number of strata
3.1.26 If Stratified, stratification criteria
3.1.27 If Other, please specify
3.1.28 Additional comments

There are several data collections for EAA purposes; they are presented in the Annex.


Administrative source

If there is a specific administrative source in your country witch provide data exclusively for the EAA please describe it in this part. For other administrative sources please use table 3.1. If metadata already exist just provide the name of the data source. 
3.1.29 Name/Title
3.1.30 Name of Organisation responsible
3.1.31 Contact information (email and phone)
3.1.32 Main administrative scope
3.1.33 Geospatial Coverage
3.1.34 Update frequency
3.1.35 Legal basis
3.1.36 Are you able to access directly to the micro data?
3.1.37 Are you able to check the plausibility of the data, namely by contacting directly the units?
3.1.38 How would you assess the proximity of the definitions and concepts (including statistical units) used in the administrative source with those required in the EU regulation?
3.1.39 Please list the main differences between the administrative source and the statistical definitions and concepts
3.1.40 Is a different threshold used in the administrative source and statistical data?
3.1.41 If Yes, please specify
3.1.42 Additional comments

There are several data collections for EAA purposes; they are presented in the Annex.


Experts

If there is a specific expert source in your country witch provide data exclusively for the EAA please describe it in this part. For other expert sources please use table 3.1. If metadata already exist just provide the name of the data source.
3.1.43 Name/Title
3.1.44 Primary purpose
3.1.45 Legal basis
3.1.46 Update frequency
3.1.47 Expert data supplier
3.1.48 If Other, please specify
3.1.49 How would you assess the quality of those data?
3.1.50 Additional comments


Other sources

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file 
3.1.51 Name/Title
3.1.52 Name of Organisation
3.1.53 Primary purpose
3.1.54 Data type
3.1.55 If Other, please specify
3.1.56 How would you assess the quality of those data?
3.1.57 Additional comments

There are several other sources for EAA purposes; they are presented in the Annex.

 
3.2. Frequency of data collection

Annually two estimates and final data.
3.3. Data collection

Census

If there is a specific census conducted in your country to collect data exclusively for the EAA please describe the method of data collection in this part. For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.1 Name/Title
3.3.2 Methods of data collection
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used?
3.3.5 Data entry method, if paper questionnaires?
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.7 Additional comments

There are several data collections for EAA purposes; they are presented in the Annex.


Sample survey

If there is a specific survay conducted in your country to collect data exclusively for the EAA please describe the method of data collection in this part.For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.8 Name/Title
3.3.9 Methods of data collection
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used?
3.3.12 Data entry method, if paper questionnaires?
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.14 Additional comments

There are several data collections for EAA purposes; they are presented in the Annex.


Administrative source

If there is a specific administrative source in your country to collect data exclusively for the EAA please describe the metod of data collection in this part.For other data sources please use table 3.3. If metadata alredy exist just provide the name of the data source. 
3.3.15 Name/Title
3.3.16 Extraction date
3.3.17 How easy is it to get access to the data?
3.3.18 Data transfer method
3.3.19 Additional comments

There are several data collections for EAA purposes; they are presented in the Annex.


Experts

If there is a specific expert source in your country witch provide data exclusively for the EAA please describe the metod of data collection in this part. For other expert sources please use table 3.3. If metadata alredy exist just provide the name of the data source.
3.3.20 Name/Title
3.3.21 Methods of data collection
3.3.22 Additional comments
3.4. Data validation
3.4.1 Which kind of data validation measures are in place? Manual
Automatic
3.4.2 What do they target? Completeness
Outliers
Aggregates
Consistency
Data flagging
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

Different sources are used for the first and second estimate and final data. The collected data are converted into statistical output. While incorporating collected data, the elaboration tables similar to those presented in Annex III of the handbook are used. Additional indicators are calculated.
3.5.2 Additional comments
3.6. Adjustment

The published data may be revised if the methodology is modified, errors are discovered, new or better data become available.

The data revision policy and notification of corrections are described in the dissemination policy of Statistics Estonia at http://www.stat.ee/dissemination-policy.


4. Quality management Top
4.1. Quality assurance
4.1.1 Is there a quality management system used in the organisation? Yes
4.1.2 If yes, how is it implemented?

To assure the quality of processes and products, Statistics Estonia applies the EFQM Excellence Model, the European Statistics Code of Practice and the Quality Assurance Framework of the European Statistical System (ESS QAF). Statistics Estonia is also guided by the requirements in § 7. “Principles and quality criteria of producing official statistics” of the Official Statistics Act.
4.1.3 Has a peer review been carried out? No
4.1.4 If Yes, which were the main conclusions?
4.1.5 What quality improvements are foreseen?
4.1.6 If Other, please specify
4.1.7 Additional comments
4.2. Quality management - assessment

Development since the last quality report

4.2.1 Overall quality Stable
4.2.2 Relevance Stable
4.2.3 Accuracy and reliability Stable
4.2.4 Timeliness and punctuality Stable
4.2.5 Comparability Stable
4.2.6 Coherence Stable
4.2.7 Additional comments


5. Relevance Top
5.1. Relevance - User Needs
5.1.1 If certain user needs are not met, please specify which and why

Users’ suggestions and information about taking them into account are available on the website of Statistics Estonia at https://www.stat.ee/statistikatood.
5.1.2 Please specify any plans to satisfy needs more completely in the future
5.1.3 Additional comments
5.2. Relevance - User Satisfaction
5.2.1 Has a user satisfaction survey been conducted? Yes
If Yes, please answer all the following questions 
5.2.2 Year of the user satisfaction survey

Since 1996, Statistics Estonia has conducted reputation and user satisfaction surveys.

All results are available on the website https://www.stat.ee/user-surveys.
5.2.3 How satisfied were the users?
5.2.4 Additional comments
5.3. Completeness
5.3.1 Data completeness - rate

In compliance with the rules (regulations)
5.3.2 If not complete, which characteristics are missing?
5.3.3 Additional comments


6. Accuracy and reliability Top
6.1. Accuracy - overall
6.1.1 How good is the accuracy? Good
6.1.2 What are the main factors lowering the accuracy? Measurement error
Non-response error
Model assumption error
6.1.3 If Other, please specify
6.1.4 Additional comments

The type of survey and the data collection methods ensure sufficient coverage and timeliness.
6.2. Sampling error

Used data sources and data collection methods ensure sufficient quality.
6.2.1. Sampling error - indicators
6.3. Non-sampling error

Used data sources and data collection methods ensure sufficient quality.
6.3.1. Coverage error

Used data sources and data collection methods ensure sufficient quality.
6.3.1.1. Over-coverage - rate

Used data sources and data collection methods ensure sufficient quality.
6.3.1.2. Common units - proportion
6.3.2. Measurement error

Arithmetic and qualitative controls are used in the validation process, including comparison with other data. Used data sources and data collection methods ensure sufficient quality.
6.3.3. Non response error

Used data sources and data collection methods ensure sufficient quality.
6.3.3.1. Unit non-response - rate

Used data sources and data collection methods ensure sufficient quality.
6.3.3.2. Item non-response - rate

Used data sources and data collection methods ensure sufficient quality.
6.3.4. Processing error

Used data sources and data collection methods ensure sufficient quality.
6.3.4.1. Imputation - rate

Used data sources and data collection methods ensure sufficient quality.
6.3.5. Model assumption error

Used data sources and data collection methods ensure sufficient quality.
6.4. Seasonal adjustment

Not used
6.5. Data revision - policy

The data revision policy and notification of corrections are described in the dissemination policy of Statistics Estonia at https://www.stat.ee/dissemination-policy.
6.6. Data revision - practice
6.6.1 Data revision - average size

0
6.6.2 Were data revisions due to conceptual changes (e.g. new definitions)  carried out since the last quality report? No
6.6.3 What was the main reason for the revisions?
6.6.4 How do you evaluate the impact of the revisions?
6.6.5 Additional comments


7. Timeliness and punctuality Top
7.1. Timeliness
7.1.1 When were  the first  results for the reference period published?

The first projection for the economic accounts for agriculture is published in December of the current year.
7.1.2 When were  the final results for the reference period published?

The final data of the economic accounts for agriculture are published in Estonia 278 days after the end of the reference year (T + 278).
7.1.3 Reasons for possible long production times?
7.2. Punctuality
7.2.1 Were data released nationally according to a pre-announced schedule (Release Calendar)? Yes
7.2.2 If Yes, were data released on the target date? Yes
7.2.3 If No, reasons for delays?
7.2.4 Number of days between the national release date of data and the target date


8. Coherence and comparability Top
8.1. Comparability - geographical

To be assessed by Eurostat
8.1.1. Asymmetry for mirror flow statistics - coefficient
8.2. Comparability - over time
8.2.1 Length of comparable time series

Economic Accounts for Agriculture 1995–…
8.2.2 Have there been major breaks in the time series? No
8.2.3 If Yes, please specify the year of break and the reason
8.2.4 Additional comments
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared?

All relevant data sources already participate in the compilation of EAA.
8.3.2 Describe briefly the results of comparisons
8.3.3 If no comparisons have been made, explain why

There is no relevant information.
8.3.4 Additional comments
8.4. Coherence - sub annual and annual statistics

Data are coherent.
8.5. Coherence - National Accounts

Use of EAA-data in NA calculations

Are EAA used by NA as data source for Group 01 Degree of implication Please describe briefly the reasons
Output Main source used

To guarantee coherence.
Intermediate consumption Main source used

To guarantee coherence.
Fixed capital consumption Main source used

To guarantee coherence.
Compensation of employees Main source used

To guarantee coherence.
Taxes Main source used

To guarantee coherence.
Subsidies Main source used

To guarantee coherence.
Rents Main source used

To guarantee coherence.
Interest Main source used

To guarantee coherence.
Gross fixed capital formation Main source used

To guarantee coherence.
Labour input Main source used

To guarantee coherence.


Use of NA-data in EAA calculations

Are NA used as data source for EAA Degree of implication  Please describe briefly the reasons 
Output Not used

EAA is used for NA.
Intermediate consumption Not used

EAA is used for NA.
Fixed capital consumption Only source used
Compensation of employees Not used

EAA is used for NA.
Taxes Not used

EAA is used for NA.
Subsidies Not used

EAA is used for NA.
Rents Not used

EAA is used for NA.
Interest Not used

EAA is used for NA.
Gross fixed capital formation Only source used
Labour input Not used

EAA is used for NA.
8.6. Coherence - internal

The outputs of the statistical activity are coherent. Higher-level aggregations are derived from detailed data according to pre-defined procedures.


9. Accessibility and clarity Top
9.1. Dissemination format - News release
9.1.1 Do you publish a news release? Yes
9.1.2 If Yes, please provide a link

A news release has been published about the first estimate not by Statistics Estonia but by Ministry of Rural Affairs.

https://www.agri.ee/et/uudised/pollumajandussektori-2017-aasta-majandustulemused-naitavad-loomakasvatussektori-taastumist
9.2. Dissemination format - Publications
9.2.1 Do you produce a paper publication? No
9.2.2 If Yes, is there an English version?
9.2.3 Do you produce an electronic publication? No
9.2.4 If Yes, is there an English version?
9.2.5 Please provide a link
9.3. Dissemination format - online database
9.3.1 Data tables - consultations

Tables about EAA results were consulted in 2017 in the Estonian language 2,507 times and in the English language 223 times.
9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link

http://pub.stat.ee/px-web.2001/Database/Majandus/13Pellumajandus/02Pellumajanduse_majanduslik_arvepidamine/02Pellumajanduse_majanduslik_arvepidamine.asp
9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? Yes
9.4.2 Please provide a link

The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34, § 35, § 36, § 37, § 38 of the Official Statistics Act. Access to microdata and anonymisation of microdata are regulated by Statistics Estonia’s procedure for dissemination of confidential data for scientific purposes: https://www.stat.ee/dokumendid/51669.
9.5. Dissemination format - other

Data serve as input for statistical activities 21303 “Government finance”, 21408 “Supply and Use Tables”, 21401 “National accounts (annual)”, 21405 “National accounts (quarterly)”, 20405 “Agricultural input price index”, 20406 “Agricultural output price index” and 21213 “Supply balance sheets of agricultural products”.
9.6. Documentation on methodology
9.6.1 Are national reference metadata files available? Yes
9.6.2 Please provide a link

http://www.stat.ee/esms-metadata?code=21207#CONF
9.6.3 Are methodological papers available? No
9.6.4 Please provide a link
9.6.5 Is a handbook available? Yes
9.6.6 Please provide a link

Manual on the economic accounts for agriculture, compiled by Eurostat.
9.7. Quality management - documentation
9.7.1 Metadata completeness - rate

ESMES metadata are published.
9.7.2 Metadata - consultations

No information
9.7.3 Is a quality report available? Yes
9.7.4 Please provide a link

Quality report sent to Eurostat.


10. Cost and Burden Top
10.1 Efficiency gains if compared to the previous quality report Further automation
Increased use of administrative data
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report Less frequent surveys
Less variables surveyed
Less respondents
More user-friendly questionnaires
10.4 If Other, please specify


11. Confidentiality Top
11.1. Confidentiality - policy
11.1.1 Are confidential data transmitted to Eurostat? No
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009?
11.1.3 Describe the data confidentiality policy in place

The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34 and § 35 of the Official Statistics Act.
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia: https://www.stat.ee/66485.
11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX_EAA_EE