1. 3.4 Trade data Distribution of unit values for selected products
DG ESTAT – Unit E.3
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2. Leading ideas
Improving the validation process and the quality of the results
Demonstrating the relevance of data for users
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3. A. Improving data validation
Case 1: identifying outliers in simple time series
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4. A. Improving data validation
Case 1: identifying outliers – case solved
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5. A. Improving data validation
Case 2: „regular” (1000) currency problem – case solved
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6. A. Improving data validation
Case 3: „irregular” (2/3) currency problem – case unsolved
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7. A. Improving data validation
Case 4: „irregular” (3/4) currency problem – case unsolved
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8. A. Improving data validation
Case 5: Changing currency – case solved
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9. A. Improving data validation
Case 6: Additional checks with unit values
Import of product code 4
500
1000
1500
2000
2500
1992
1993
1994
1995
1996
1997
1998
1999
2001
2002
2003
2004
2005
2006
2007
year
euro 5 10 15 20 25 30
th m3
value (€)
quantity (m3)
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10. A. Improving data validation
Case 6: Additional checks with unit values – case unsolved
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11. A. Improving data validation
Case 7: Outliers with unit value
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12. A. Improving data validation
Case 7: Outliers with unit value – case unsolved
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13. B. The relevance of data
Example 1: Extra-EU and intra-EU trade differences
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14. B. The relevance of data Example 2: Unit value as market information
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15. Conclusions Thank you! JFSQ data are important
– improvements of the validation
Its value depends on a good data provision
– more estimations are requested
Dissemination tables have market values
– free use!
Thank you!
26-Nov-08
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