6. Accuracy and reliability |
Top |
|
|
6.1. Accuracy - overall |
6.1.1 How good is the accuracy? |
Medium |
6.1.2 What are the main factors lowering the accuracy? |
Other |
6.1.3 If Other, please specify |
- - INTRASTAT data is not reliable, there are big fluctuations from one year to another due to wrong classifications that can not always be detected
- - information on stocks on agricultural holdings is not available at the moment
|
6.1.4 Additional comments |
quantities of stocks, imports and exports can not be converted to standard humidity because information on their real humidity content is not available |
|
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 |
Purchase and transformation of cereals and oil crops |
6.2.2 Methods used to assess the sampling error |
Other |
6.2.3 If Other, please specify |
none |
6.2.4 Methods used to derive the extrapolation factor |
Other |
6.2.5 If Other, please specify |
none |
6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas |
|
6.2.7 Sampling error - indicators |
Please provide the coefficients of variation in table 6.2 of the annexed Excel file |
6.2.8 Additional comments |
the sample is covering >95% of the collection and transformation of crops based on a fix list of enterprises |
|
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 |
|
Over-coverage |
6.3.1.2 Does the sample frame include wrongly classified units that are out of scope? |
|
6.3.1.3 What methods are used to detect the out-of scope units? |
|
6.3.1.4 Does the sample frame include units that do not exist in practice? |
|
6.3.1.5 Over-coverage - rate |
|
6.3.1.6 Impact on the data quality |
|
Under-coverage |
6.3.1.7 Does the sample frame include all units falling within the scope of this survey? |
|
6.3.1.8 If Not, which units are not included? |
|
6.3.1.9 How large do you estimate the proportion of those units? (%) |
[0-100] |
6.3.1.10 Impact on the data quality |
|
Misclassification |
6.3.1.11 Impact on the data quality |
|
Common units |
6.3.1.12 Common units - proportion |
|
6.3.1.13 Additional comments |
|
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 |
Purchase and transformation of cereals and oil crops |
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? |
|
6.3.1.17 Does the sample frame include units that do not exist in practice? |
No |
6.3.1.18 Over-coverage - rate |
|
6.3.1.19 Impact on the data quality |
|
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? |
|
6.3.1.22 How large do you estimate the proportion of those units? (%) |
[0-100] |
6.3.1.23 Impact on the data quality |
|
Misclassification |
6.3.1.24 Impact on the data quality |
|
Common units |
6.3.1.25 Common units - proportion |
not applicable |
6.3.1.26 Additional comments |
|
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 |
|
Over-coverage |
6.3.1.28 Does the administrative source include wrongly classified units that are out of scope? |
|
6.3.1.29 What methods are used to detect the out-of scope units? |
|
6.3.1.30 Does the administrative source include units that do not exist in practice? |
|
6.3.1.31 Over-coverage - rate |
|
6.3.1.32 Impact on the data quality |
|
Under-coverage |
6.3.1.33 Does the administrative source include all units falling within the scope of this survey? |
|
6.3.1.34 If Not, which units are not included? |
|
6.3.1.35 How large do you estimate the proportion of those units? (%) |
[0-100] |
6.3.1.36 Impact on the data quality |
|
Misclassification |
6.3.1.37 Impact on the data quality |
|
6.3.1.38 Additional comments |
|
|
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 |
|
6.3.2.2 Is the questionnaire based on usual concepts for respondents? |
|
6.3.2.3 Number of censuses already performed with the current questionnaire? |
|
6.3.2.4 Preparatory testing of the questionnaire? |
|
6.3.2.5 Number of units participating in the tests? |
|
6.3.2.6 Explanatory notes/handbook for surveyors/respondents? |
|
6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents? |
|
6.3.2.8 Are there pre-filled questions? |
|
6.3.2.9 Percentage of pre-filled questions out of total number of questions |
[0-100] |
6.3.2.10 Other actions taken for reducing the measurement error? |
|
6.3.2.11 Additional comments |
|
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 |
Purchase and transformation of cereals and oil crops |
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? |
+- 10 |
6.3.2.15 Preparatory testing of the questionnaire? |
No |
6.3.2.16 Number of units participating in the tests? |
|
6.3.2.17 Explanatory notes/handbook for surveyors/respondents? |
No |
6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents? |
Yes |
6.3.2.19 Are there pre-filled questions? |
No |
6.3.2.20 Percentage of pre-filled questions out of total number of questions |
0% |
6.3.2.21 Other actions taken for reducing the measurement error? |
|
6.3.2.22 Additional comments |
|
|
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 |
|
6.3.3.2 Unit non-response - rate |
|
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context? |
|
6.3.3.4 Measures taken for minimising the unit non-response |
|
6.3.3.5 If Other, please specify |
|
6.3.3.6 Item non-response rate |
|
6.3.3.7 Item non-response rate - Minimum |
|
6.3.3.8 Item non-response rate - Maximum |
|
6.3.3.9 Which items had a high item non-response rate? |
|
6.3.3.10 Additional comments |
|
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 |
Purchase and transformation of cereals and oil crops |
6.3.3.12 Unit non-response - rate |
0% |
6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context? |
Very low |
6.3.3.14 Measures taken for minimising the unit non-response |
Reminders |
6.3.3.15 If Other, please specify |
|
6.3.3.16 Item non-response rate |
0% |
6.3.3.17 Item non-response rate - Minimum |
|
6.3.3.18 Item non-response rate - Maximum |
|
6.3.3.19 Which items had a high item non-response rate? |
|
6.3.3.20 Additional comments |
|
|
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 |
|
6.3.4.2 Imputation - rate |
|
6.3.4.3 Imputation - basis |
|
6.3.4.4 If Other, please specify |
|
6.3.4.5 Additional comments |
|
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 |
Purchase and transformation of cereals and oil crops |
6.3.4.7 Imputation - rate |
|
6.3.4.8 Imputation - basis |
|
6.3.4.9 If Other, please specify |
|
6.3.4.10 How do you evaluate the impact of imputation on Coefficients of Variation? |
|
6.3.4.11 Additional comments |
no imputation needed because the survey is exhaustive |
|
6.3.5. Model assumption error |
no information available |
6.4. Seasonal adjustment |
|
6.5. Data revision - policy |
|
6.6. Data revision - practice |
6.6.1 Data revision - average size |
no revision made so far |
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 |
|
|