UK Trade in Goods Statistics – A QIF project Rafael Mastrangelo (HMRC) Jonathan Digby-North (ONS)

Slides:



Advertisements
Similar presentations
Share of population - GDP per capita (PPP), 2004 EU-15 and other West European countries Hungary Czech Republic Malta Slovenia Cyprus Portugal Greece Spain.
Advertisements

UNIVERSITY OF JYVÄSKYLÄ INTERNATIONAL COOPERATION.
11-12 June 2009 Survey of the data sources and compilation practices of EU Member States Item 4.1 International Technical Meeting on Measuring Remittances.
Knowledge Management LXV International Council Meeting Qawra, Malta 16 th - 23 rd of March 2014.
16 out of 27 member states Known as euro zones 2 nd largest traded currency after the dollar The name euro was officially adopted on 16 December 1995.
Case Study Comparing the V4 with the new EU(6) & EU(2) Cross border meeting - Visegrad Countries Chris Corbin ePSIplus Analyst Beckov, Slovakia, 11 th.
EUROPEAN UNION. WHAT Coalition of 30 countries united in ECONOMY World’s largest trading bloc. World’s largest exporter to the world 16 TRILLION *Biggest.
Interim report of WG 5/6 subgroup: Review of Phase 2 NAPs Mark Johnson 22/02/07.
Standard SS6G5b: Describe the purpose of the European Union and the relationship between member nations.
Media Freedom The Catch Up Index Findings. What is the Catch Up Index? Are the ten “new”, post-communist member states of the EU – the EU10 – catching.
THE EUROPEAN UNION. HISTORY 28 European states after the second world war in 1951 head office: Brussels 24 different languages Austria joined 1995.
Capitalist. Main Points In a capitalist or free-market country, people can own their own businesses and property. People can also buy services for private.
UEMS ORL TREASURY REPORT October 2012 M. de la Mota, F. Marchal.
THE EUROPEAN UNION. EU  1993 European Union  Main Aims  All states in the EU = a single market  One currency throughout the EU = the Euro  To have.
Presentation by Kirsten Tesh World Traveler ? European Union.
STATE OF PLAY : ESF FINANCIAL EXECUTION. 2 Overall 2012 ESF Budget Execution on 20/11/2012 Programmin g period 2012 Payment appropriation s mil.€ 2012.
Agro-Food Export Competitiveness of the European Union Countries on the World Markets Imre Fertő and Štefan Bojnec.
SPORTS MEDICINE SPECIALIZATION – 24 countries 1)Belarus 13)Romania 2) Bosnia & Herzegovina 14)Serbia 3) Bulgaria 15)Slovenia 4) Czech Republic 16)Spain.
Natural gas, and oil sectors in Europe Vaidotas Levickis Fort Worth, Texas 2015.
In the Neighborhood of the Camp Kistarcsa 2012 The new member states of the European Union and possibilities for the expansion (workshop) Presented by.
The European Union 1 THE EUROPEAN UNION Lesson 2 Where in the world is the European Union?
Map - Region 3 Europe.
I will: Know how and why the EU was created. Understand the benefits of being part of the EU.
Time line By: Shirley Lin. The story of European Union
The United States of Europe
Purpose of the European Union For its members to work together for advantages that would be out of their reach if each were working alone Believe that.
WFD Art. V Groundwater Body Data Gap Analysis ETC/Water.
The European Union. Important Events in EU History May 9, 1950 – French Leader Robert Schuman proposes the idea of working together in coal and steel.
The European Law Students’ Association Albania ˙ Austria ˙ Azerbaijan ˙ Belgium ˙ Bosnia and Herzegovina ˙ Bulgaria ˙ Croatia ˙ Cyprus ˙ Czech Republic.
© 2011 Pearson Education, Inc. The European Union (formerly the European Community)
THE EUROPEAN UNION Background 11 June Image by Rock Cohen. Used with permission europa.eu – official website of the EU.
Maps of Topic 2B Multilingualism in Europe Europe A Story of Empire (a united Europe) & Language.
11 Copyright Source Text EU Government Barometer Assessing progress on the FLEGT Action Plan commitments and EUTR across the EU 27 Beatrix Richards, Head.
Table 1. Numbers and rates of TB cases per population by country and year, EU/EEA, 2010–2014 ASR: age-standardised rate, C: case-based Source:
European Innovation Scoreboard European Commission Enterprise and Industry DG EPG DGs meeting, May 2008.
Table 1. Number and rate of reported confirmed syphilis cases per population by country and year, EU/EEA, 2010–2014 ASR: age-standardised rate,
Table 1. Number and rate of Legionnaires’ disease cases per population by country and year, EU/EEA, 2010–2014 ASR: age-standardised rate, C: case-based.
CONFIDENTIAL 1 EPC, European Union and unitary patent/UPC EPC: yes EEA: no EU: no (*) (*) Also means no unitary patent Albania, Macedonia, Monaco, San.
France Ireland Norway Sweden Finland Estonia Latvia Spain Portugal Belgium Netherlands Germany Switzerland Italy Czech Rep Slovakia Austria Poland Ukraine.
INTERNATIONAL BUSINESS Unit 2 Business Development GCSE Business Studies.
EUROPEAN UNION – MAKING OFF European Economic Community
European Union Duy Trinh.
Table 1. Reported confirmed hepatitis A cases: number and rate per population, EU/EEA, 2010–2014 Source: Country reports. Legend: Y = yes, N =
DISTRIBUTION AUTOMATIC - GENERATION
Figure 1. Number of reported hantavirus infection cases, EU/EEA, 2014
EUROS Identification Austria - Belgium - Cyprus - Estonia - Finland - France - Germany - Greece - Ireland - Italy - Latvia Lithuania - Luxembourg - Malta.
Table 1. Reported, confirmed campylobacteriosis cases: number and rate per population, EU/EEA, 2010–2014 Source: Country reports. Legend: Y = yes,
Table 1. Number and rate of reported confirmed syphilis cases per 100 000 population by country and year, EU/EEA, 2010–2014 Country
Table 1. Reported confirmed brucellosis cases: number and rate per population, EU/EEA, 2010–2014 Source: Country reports. Legend: Y = yes, N =
The European Parliament – voice of the people
The European Parliament – voice of the people
Намалување на загадувањето на воздухот со електромобилност
Gonorrhoea cases of gonorrhoea were reported by 27 EU/EEA Member States for The overall notification rate was 18.8 cases per 100 000 population.
EU: First- & Second-Generation Immigrants
Table 1. Table 1. Reported confirmed salmonellosis cases: number and rate per population, EU/EEA, 2010–2014 Source: Country reports. Legend: Y.
Table 1. Reported confirmed cholera cases, EU/EEA, 2010–2014
Table 1. Reported confirmed botulism cases: number and rate per population, EU/EEA, 2010–2014 ASR: age-standardised rate, C: case-based Source:
Adriatic Persian Gulf Map Test #1 Answers.
Table 1. Reported confirmed leptospirosis cases: number and rate per population, EU/EEA, 2010–2014 Source: Country reports. Legend: Y = yes, N.
European Union Membership
Adoption, adaptation and applicability of the Global Curriculum in Medical Oncology. Adoption, adaptation and applicability of the Global Curriculum in.
Overall 2011 ESF Budget Execution
Chapter 8: International Groupings History of the EU: Timeline
Adriatic Persian Gulf Map Test #1 Answers.
Task force on victimisation 4. Precision requirements
Update on reporting status
Trends for ECDC measles and rubella monitoring,
Where in the world is the European Union?
Table 1. Reported confirmed listeriosis cases: number and rate per population, EU/EEA, 2010–2014 Source: Country reports. Legend: Y = yes, N =
Prodcom Statistics in Focus
Presentation transcript:

UK Trade in Goods Statistics – A QIF project Rafael Mastrangelo (HMRC) Jonathan Digby-North (ONS)

Outline Introduction Current methodology Analysis Recommendations Implementation

Introduction Estimate EU imports (arrivals) and EU exports (dispatches) for those businesses below the Intrastat threshold. Threshold for EU imports changing from £0.6m (95%) to £1.2m (93%) Question: Is the current methodology good enough to estimate the BTT when the threshold increases? …thresholds will change yet again in future (imports from 93% to 90%, and exports from 97% to 95%)

Current Methodology Two allocations, monthly and annual The factors produced for the annual BTTAs are used for the following year’s monthly BTTAs. Assumes that traders below the threshold are similar to traders just above the threshold. Performed completely separately for Arrivals and Dispatches.

Just Above Threshold Trade (JATT) The JATT forms the basis for the annual allocations. Calculated by: –Total the BTT to be allocated (total Global Declarations by below threshold traders) –Total the Supplementary Declarations by each trader –Sort traders from smallest to largest –Select traders from the smallest upwards until the total trade is equal to the BTT total (or larger). –The trade by these traders is the JATT.

Calculating the Factors For each partner country and 4-digit heading, the factor is the trade in that combination in the JATT as a proportion of all declared trade in that combination. trade. thresholdabove TotalTATT trade, thresholdaboveJustJATT declarationsSupplementarySD comcode,digit 4 Country, TATT JATT SD     ji ij

Approach B7 B1 B8 B14 B8 B14 B7 B1

Approach B8-14 = 75% N B6-7

Approach JATT = TATT = 130% N B6-7

Recap – Current Methodology JATT size defined so: Total trade in JATT = Total trade in BTT For each country/4-digit product combination use previous year’s annual dataset to calculate proportion of total trade conducted by the JATT Apply factor to total in month of current year to obtain estimates Scale these estimates so sum to known BTT total in month Aggregate to level required (e.g. Country level) Refer to as ‘4-digit Annual’ model

Possible alternative methods Calculate factor using monthly data? Calculate factor at 2/4/8-digit (HS2/HS4/CN8) product level? Include SIC? Use admin data (e.g. VAT Information Exchange System) / survey some of BTT?

Models to investigate Vary product level and time period in factor calculation Six models: 2,4,8-digit Monthly; 2,4,8-digit Annual Test with an increasing JATT size Recommend: Best JATT size for current model (‘4-digit Annual’) Best overall JATT size/model combination Compare to extension of current methodology: B8-14 JATT (= approx 75% of N B6-7 ) with ‘4-digit Annual’ model

Requirements and model evaluation Both recommendations required at a country, HS2 Chapter and country by HS2 Chapter level Evaluate model performance using: Total annual absolute difference between estimates and actual values at each level – want minimum Value of Pearson’s correlation coefficient at each level – want maximum

Analysis JATT=TATT B8-14 JATT with current model Best JATT size/model combination Best JATT size for current model

Country by HS2 Chapter Level Absolute DifferenceCorrelation Current Model (4-digit Annual) JATT = 60%JATT = 78% Optimum Method JATT = 40% with 4-digit Monthly JATT = 40% with 4-digit Monthly Country by HS2 Chapter Level Current Model (4-digit Annual) JATT = 78% Optimum Method JATT = 40% with 4-digit Monthly

HS2 Chapter Level Absolute DifferenceCorrelation Current Model (4-digit Annual) JATT = 22% Optimum Method JATT = 44% with 2-digit Annual JATT = 26% with 4-digit Monthly HS2 Chapter Level Absolute DifferenceCorrelation Current Model (4-digit Annual) JATT = 22% Optimum Method JATT = 26% with 4-digit Monthly JATT = 26% with 4-digit Monthly Country Level Absolute DifferenceCorrelation Current Model (4-digit Annual) JATT = 20%JATT = 18% Optimum Method JATT = 24% with 4-digit Monthly JATT = 24% with 4-digit Monthly Country/HS2 Chapter Level Current Model (4-digit Annual)JATT = 21% Optimum Method JATT = 25% with 4-digit Monthly

Application of models Apply below models at a country and HS2 Chapter level Current Methodology B8-14 (= approx 75% of N B6-7 ) as JATT with 4-digit Annual model Optimal JATT with Current Model 21% of N B6-7 as JATT with 4-digit Annual model Optimal JATT with Optimal Model 25% of N B6-7 as JATT with 4-digit Monthly model

Application of models High trade (>£10bn) – Germany, Netherlands, France, Belgium, Italy, Irish Republic, Spain Medium trade (£2.5bn - £10bn) – Sweden, Poland, Denmark, Czech Republic, Hungary, Austria Low trade (<£2.5bn) – Finland, Portugal, Slovakia, Romania, Luxembourg, Greece, Lithuania, Latvia, Slovenia, Bulgaria, Estonia, Malta, Cyprus 98 HS2 Chapters (products): High trade >£500m; Low trade <£500m

YearDifference from CM Using CMOJUsing OM 2011High Trade-£147.9m (-44%)-£167.5m (-50%) Medium Trade +£6.8m (+10%)+£18.7m (+27%) Low Trade+£10.2m (+23%)-£14.5m (-33%) Overall -£131.0m (-29%)-£163.3m (-36%) 2012High Trade-£33.1m (-17%)-£79.9m (-42%) Medium Trade+£15.0m (+53%)+£16.0m (+57%) Low Trade-£7.4m (-7%)-£18.3m (-18%) Overall -£25.5m (-9%)-£82.2m (-29%) Application of models – Country level

YearDifference from CM Using CMOJUsing OM 2011 High Trade (>£500m) -£271.3m (-42%)-£178.0m (-28%) Low Trade (<£500m) +£45.4m (+34%)-£16.0m (-12%) Overall -£225.9m (-29%)-£194.0m (-25%) 2012 High Trade (>£500m) -£25.7m (-5%)-£95.3m (-18%) Low Trade (<£500m) +£21.3m (+16%)-£32.1m (-24%) Overall -£4.4m (-1%)-£127.4m (-19%) Application of models – HS2 level

Recommendations JATT Size Country or HS2 ChapterCountry by HS2 Chapter Retention of CM (‘4-digit Annual’) 21% of N B6-7 78% of N B6-7 Adopting OM (‘4-digit Monthly’) 25% of N B6-7 40% of N B6-7 Future reductions Conduct similar analyses to assess quality of estimates Also recommend sampling from BTT and using standard estimation methodology if quality deteriorates

HMRC implementation of methodology Implement the Optimal JATT with Optimal Model: 25% of N B6-7 as JATT with 4-digit Monthly model For Jan 2015 account which is published in Mar Evaluate publishing at HS2 digit and country instead of CN8 digit and country.

Questions?