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Solving’ trade in goods
1. ‘Solving’ trade in goods
asymmetries at Eurostat
Pedro MARTINS FERREIRA
Eurostat, Unit C5, International Global Accounts (IGA) team
OECD’ Regional Global Trade in Value Added Webinar
9 June 2021
2. • What does ‘balancing trade’ really means
• FIGARO’ approach
• Challenges / Improvements
Structure of my talk
4. • Different measurement?
• Different coverage?
• Are both estimates equally
trustworthy?
• Two sample points of the same
phenomena?
A B
100 150
?
Balancing trade
cif/fob
non-alloc trade
weights
(weighted) average
13. • 𝑋𝐶: (gross) exports according to the
community principle;
• 𝑋𝑁: (gross) exports according to the
national principle;
• 𝑋𝐷: domestic component of gross exports;
• 𝑋𝑅: re-exports component of gross exports;
• 𝑋𝑄: quasi-transit component of gross
exports.
• 𝑋𝑄 = 𝑋𝐶 − 𝑋𝑁
• 𝑋𝐷 =
𝑀𝐷
𝑀𝐶
𝑋𝐶
• 𝑋𝑅 = 𝑋𝑁 − 𝑋𝐷 = 𝑋𝑁 −
𝑀𝐷
𝑀𝐶
𝑋𝐶
QDR (1)
14. Consistency between data sources
𝑀𝐷
𝑀𝐶
𝑋𝐶 ≤ 𝑋𝑁 ≤ 𝑋𝐶
Correcting bias for domestic exports
• domestic share of exports: ‘use table of domestic inputs’ / ‘use table’
• For each HS6 product within one CPA, create a matrix of HS6 products (row),
domestic / non-domestic (columns): RAS to match SUIOT domestic exports
QDR (2)
15. Quasi-transit and re-export partners
• Partners are taken from the distribution of original imports for which country of
origin is different from country of consignment.
QDR (3)
20. • What if asymmetry is ‘huge’?
• Operational: algorithm vs expert
assessment
• Product or partner miss
classification
• From ITGS to NA
• Better articulation between
asymmetry exercises and
compilation process
• Research on an algorithm that can
spot product / partner miss
classification
Challenges / improvements
Update/add/delete parts of the copy right notice where appropriate.
More information: https://myintracomm.ec.europa.eu/corp/intellectual-property/Documents/2019_Reuse-guidelines%28CC-BY%29.pdf