6. Accuracy and reliability |
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6.1. Accuracy - overall |
6.1.1 How good is the accuracy? |
Good |
6.1.2 What are the main factors lowering the accuracy? |
Coverage error Model assumption error |
6.1.3 If Other, please specify |
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6.1.4 Additional comments |
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6.2. Sampling error |
These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.2 of the annexed Excel file |
6.2.1 Name/Title |
Crop Production Survey |
6.2.2 Methods used to assess the sampling error |
Other |
6.2.3 If Other, please specify |
Sampling errors have not been assessed as survey data (yields) have been used only in combination with an administrative register. |
6.2.4 Methods used to derive the extrapolation factor |
Basic weight Non-response |
6.2.5 If Other, please specify |
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6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas |
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6.2.7 Sampling error - indicators |
Not applicable |
6.2.8 Additional comments |
Coefficients of variation have not been assessed as survey data (yields) have been used only in combination with an administrative register. |
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6.3. Non-sampling error |
See sections below. |
6.3.1. Coverage error |
Census
These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file |
6.3.1.1 Name/Title |
Intrastat |
Over-coverage |
6.3.1.2 Does the sample frame include wrongly classified units that are out of scope? |
No |
6.3.1.3 What methods are used to detect the out-of scope units? |
VAT declaration |
6.3.1.4 Does the sample frame include units that do not exist in practice? |
No |
6.3.1.5 Over-coverage - rate |
Not applicable |
6.3.1.6 Impact on the data quality |
None |
Under-coverage |
6.3.1.7 Does the sample frame include all units falling within the scope of this survey? |
No |
6.3.1.8 If Not, which units are not included? |
Intrastat questionnaires shall not be submitted by enterprises whose turnover for trade with EU Member States is below the statistical threshold set for the reporting year. |
6.3.1.9 How large do you estimate the proportion of those units? (%) |
82% |
6.3.1.10 Impact on the data quality |
Low |
Misclassification |
6.3.1.11 Impact on the data quality |
None |
Common units |
6.3.1.12 Common units - proportion |
Not applicable |
6.3.1.13 Additional comments |
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Sample survey
These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file |
6.3.1.14 Name/Title |
Crop Production Survey |
Over-coverage |
6.3.1.15 Does the sample frame include wrongly classified units that are out of scope? |
No |
6.3.1.16 What methods are used to detect the out-of scope units? |
Not applicable |
6.3.1.17 Does the sample frame include units that do not exist in practice? |
No |
6.3.1.18 Over-coverage - rate |
Not applicable |
6.3.1.19 Impact on the data quality |
None |
Under-coverage |
6.3.1.20 Does the sample frame include all units falling within the scope of this survey? |
Yes |
6.3.1.21 If Not, which units are not included? |
Not applicable |
6.3.1.22 How large do you estimate the proportion of those units? (%) |
Not applicable |
6.3.1.23 Impact on the data quality |
None |
Misclassification |
6.3.1.24 Impact on the data quality |
None |
Common units |
6.3.1.25 Common units - proportion |
Not applicable |
6.3.1.26 Additional comments |
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Administrative data
These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 6.3 of the annexed Excel file |
6.3.1.27 Name/Title of the administrative source |
Land use data from IACS (Register of Agricultural Support and Agricultural Parcels) |
Over-coverage |
6.3.1.28 Does the administrative source include wrongly classified units that are out of scope? |
No |
6.3.1.29 What methods are used to detect the out-of scope units? |
Not applicable |
6.3.1.30 Does the administrative source include units that do not exist in practice? |
No |
6.3.1.31 Over-coverage - rate |
Not applicable |
6.3.1.32 Impact on the data quality |
None |
Under-coverage |
6.3.1.33 Does the administrative source include all units falling within the scope of this survey? |
Yes |
6.3.1.34 If Not, which units are not included? |
Not applicable |
6.3.1.35 How large do you estimate the proportion of those units? (%) |
Not applicable |
6.3.1.36 Impact on the data quality |
None |
Misclassification |
6.3.1.37 Impact on the data quality |
None |
6.3.1.38 Additional comments |
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6.3.2. Measurement error |
Census
These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file |
6.3.2.1 Name/Title |
Intrastat |
6.3.2.2 Is the questionnaire based on usual concepts for respondents? |
Yes |
6.3.2.3 Number of censuses already performed with the current questionnaire? |
202 |
6.3.2.4 Preparatory testing of the questionnaire? |
No |
6.3.2.5 Number of units participating in the tests? |
0 |
6.3.2.6 Explanatory notes/handbook for surveyors/respondents? |
Yes |
6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents? |
Yes |
6.3.2.8 Are there pre-filled questions? |
No |
6.3.2.9 Percentage of pre-filled questions out of total number of questions |
0% |
6.3.2.10 Other actions taken for reducing the measurement error? |
- |
6.3.2.11 Additional comments |
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Sample survey
These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file |
6.3.2.12 Name/Title |
Crop Production Survey |
6.3.2.13 Is the questionnaire based on usual concepts for respondents? |
Yes |
6.3.2.14 Number of surveys already performed with the current questionnaire? |
41 |
6.3.2.15 Preparatory testing of the questionnaire? |
No |
6.3.2.16 Number of units participating in the tests? |
Not applicable |
6.3.2.17 Explanatory notes/handbook for surveyors/respondents? |
Yes |
6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents? |
Yes |
6.3.2.19 Are there pre-filled questions? |
Yes |
6.3.2.20 Percentage of pre-filled questions out of total number of questions |
All data on crop areas available from IFS or administrative sources were used to pre-fill the corresponding fields in the questionnaire. |
6.3.2.21 Other actions taken for reducing the measurement error? |
Average yields were calculated for each holding and compared with normal values. |
6.3.2.22 Additional comments |
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6.3.3. Non response error |
Census
These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file |
6.3.3.1 Name/Title of the survey |
Intrastat |
6.3.3.2 Unit non-response - rate |
5% |
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context? |
High |
6.3.3.4 Measures taken for minimising the unit non-response |
Reminders Legal actions |
6.3.3.5 If Other, please specify |
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6.3.3.6 Item non-response rate |
Not applicable |
6.3.3.7 Item non-response rate - Minimum |
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6.3.3.8 Item non-response rate - Maximum |
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6.3.3.9 Which items had a high item non-response rate? |
Not applicable |
6.3.3.10 Additional comments |
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Sample survey
These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file |
6.3.3.11 Name/Title of the survey |
Crop Production Survey |
6.3.3.12 Unit non-response - rate |
14% |
6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context? |
Low |
6.3.3.14 Measures taken for minimising the unit non-response |
Follow-up interviews Reminders Imputation Weighting |
6.3.3.15 If Other, please specify |
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6.3.3.16 Item non-response rate |
0%* |
6.3.3.17 Item non-response rate - Minimum |
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6.3.3.18 Item non-response rate - Maximum |
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6.3.3.19 Which items had a high item non-response rate? |
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6.3.3.20 Additional comments |
* Only data on final average yields were received from the Crop Production Survey and data on areas from the FSS. There was no item non-response in FSS in the case of crop areas, as the data were available from administrative data sources and the questions were pre-filled using these data. |
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6.3.4. Processing error |
Census
These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file |
6.3.4.1 Name/Title |
Intrastat |
6.3.4.2 Imputation - rate |
Not applicable |
6.3.4.3 Imputation - basis |
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6.3.4.4 If Other, please specify |
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6.3.4.5 Additional comments |
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Sample survey
These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file |
6.3.4.6 Name/Title |
Crop Production Survey |
6.3.4.7 Imputation - rate |
Not applicable |
6.3.4.8 Imputation - basis |
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6.3.4.9 If Other, please specify |
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6.3.4.10 How do you evaluate the impact of imputation on Coefficients of Variation? |
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6.3.4.11 Additional comments |
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6.3.5. Model assumption error |
Model calculation is used for stock estimates. Final stocks are estimated on the basis of stocks at the beginning of the year and changes in the production. |
6.4. Seasonal adjustment |
Not applicable |
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/en/statistics-estonia/about-us/strategy/principles-dissemination-official-statistics |
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? |
The published data may be revised if the methodology is modified, errors are discovered, new or better data become available. |
6.6.4 How do you evaluate the impact of the revisions? |
Not important |
6.6.5 Additional comments |
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