3.4 Trade data Distribution of unit values for selected products

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Presentation transcript:

3.4 Trade data Distribution of unit values for selected products DG ESTAT – Unit E.3 26-Nov-08

Leading ideas Improving the validation process and the quality of the results Demonstrating the relevance of data for users 26-Nov-08 Csaba MOZES

A. Improving data validation Case 1: identifying outliers in simple time series 26-Nov-08 Csaba MOZES

A. Improving data validation Case 1: identifying outliers – case solved 26-Nov-08 Csaba MOZES

A. Improving data validation Case 2: „regular” (1000) currency problem – case solved 26-Nov-08 Csaba MOZES

A. Improving data validation Case 3: „irregular” (2/3) currency problem – case unsolved 26-Nov-08 Csaba MOZES

A. Improving data validation Case 4: „irregular” (3/4) currency problem – case unsolved 26-Nov-08 Csaba MOZES

A. Improving data validation Case 5: Changing currency – case solved 26-Nov-08 Csaba MOZES

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) 26-Nov-08 Csaba MOZES

A. Improving data validation Case 6: Additional checks with unit values – case unsolved 26-Nov-08 Csaba MOZES

A. Improving data validation Case 7: Outliers with unit value 26-Nov-08 Csaba MOZES

A. Improving data validation Case 7: Outliers with unit value – case unsolved 26-Nov-08 Csaba MOZES

B. The relevance of data Example 1: Extra-EU and intra-EU trade differences 26-Nov-08 Csaba MOZES

B. The relevance of data Example 2: Unit value as market information 26-Nov-08 Csaba MOZES

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 Csaba MOZES