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IMPLEMENTING UNIT VALUE INDICES IN THE ANNUAL OECD INTERNATIONAL TRADE IN COMMODITY STATISTICS (ITCS) IMPLEMENTING UNIT VALUE INDICES IN THE ANNUAL OECD INTERNATIONAL TRADE IN COMMODITY STATISTICS (ITCS) DATABASE Handling missing values, outliers in unit value variations, representativity of the indices, data conversion across classifications Working Party on Trade in Goods and Services 7 -9 November 2011 OECD Statistics Directorate

Outline of presentation • • Background Data universe and formulae Supplementary units or net Outline of presentation • • Background Data universe and formulae Supplementary units or net weights? Conversion issues Estimation of missing values Dealing with outliers Specific products

Background 1/2 Advantages of UVIs and Quantities Indices: • • proxies for X & Background 1/2 Advantages of UVIs and Quantities Indices: • • proxies for X & M price indices and for volume measures available at product detail level and in a timely manner international comparability analysis of : – terms of trade – price and non-price competitiveness in X &M – quantity effect from the transmission of inflation via foreign trade • Context • follow-up of the WPTGS 2010 • recommandation of the IMTS 2010 • results of the short Survey WPTGS 2010

Background 2/2 • Stocktaking of the implementation: – on tracks with PWB – process Background 2/2 • Stocktaking of the implementation: – on tracks with PWB – process with SAS – chained Laspeyres Paasche Fisher indices – on 34 countries – HS 88 at a total level / partner World • Issues that are being looking at : – missing values (of quantities and trade values) – outliers – conversion across HS classifications

Data Universe 1/3 ITCS database : – UNSD / OECD joint data processing system Data Universe 1/3 ITCS database : – UNSD / OECD joint data processing system – Contains Information on – Trade values in US dollars – Quantities (liters, m²…) – Net Weight (kg) – Data Availability – HS (1988, 1996, 2002 & 2007) – SITC (rev. 2, rev. 3) – ISIC rev. 3

Data Universe 2/3 • CIF / FOB Valuation • Calculation based on 6 digits Data Universe 2/3 • CIF / FOB Valuation • Calculation based on 6 digits of HS 1988 • Estimation of missing quantity/weight by the UNSD method : 1) use of the available info (i. e. net weight proxied from quantity) 2) use of a Standard Unit Value • Exclusion of 6 digits commodities without information on weights (whole chapter 99 )

Data Universe 3/3 • UV = Value in US dollars Quantity (Pt) • Unit Data Universe 3/3 • UV = Value in US dollars Quantity (Pt) • Unit Values Indices are sensitive to exchange rates fluctuations; not Quantity Indices …

Computation of Quantity indices LASPEYRES PAASCHE FISHER Weighing system Quantity ratio form Computation of Quantity indices LASPEYRES PAASCHE FISHER Weighing system Quantity ratio form

Computation of Unit Value indices LASPEYRES PAASCHE FISHER Weighing system Quantity ratio form Computation of Unit Value indices LASPEYRES PAASCHE FISHER Weighing system Quantity ratio form

Defining the denominator of the UV Supplementary Units or Net Weights ? Defining the denominator of the UV Supplementary Units or Net Weights ?

Should we use supplementary units? • Supplementary units more accurate than Net weights for Should we use supplementary units? • Supplementary units more accurate than Net weights for some commodities BUT Þ How to handle changes of quantity units if for instance the quantity unit is one year, ‘’number of items (5)’’ and the next year ‘’ thousands of items (9)’’ Þ On long series, net weights are more reported Þ UNSD estimated that 75% of supplementary units is KG => OECD choice : net weight in kg

Representativity of the sample: Issue with historical series • 2009 : – <50% Israel Representativity of the sample: Issue with historical series • 2009 : – <50% Israel X (80% for Israel M) – >75% for All others OECD countries (M and X) • 1999 : more problematic – <25% Canada(M and X) , Australia M and USA M – <60% + New Zealand (M), USA (X), Norway (X), Australia (X) – <75% + Japan (X), Norway (M), Mexico (M), New Zealand (X) and Netherlands (M & X) • 1989 / 21 countries – <75% Canada (M & X), USA (M&X), New Zealand (M) and Australia (M & X), Japan (X) , Norway (M & X) => Thresholds on UVI for coverage ?

Conversion issues use of HS 1988 conversion of HS 1996, HS 2002 HS 2007 Conversion issues use of HS 1988 conversion of HS 1996, HS 2002 HS 2007

Conversion of HS Conversion of HS

Conversion issues: looking at HS 1988 020743: Duck, goose, guinea fowl cuts, offal not Conversion issues: looking at HS 1988 020743: Duck, goose, guinea fowl cuts, offal not liver, froze 020750: Poultry livers, domestic, frozen 200 180 160 140 120 100 80 60 40 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 0 1988 20

Handling gaps in series Estimating Missing Values and Quantities: Unconvincing tests of 2 methods Handling gaps in series Estimating Missing Values and Quantities: Unconvincing tests of 2 methods

Estimation of Trade Values cmd 010111 140 120 millions USD 100 80 moving average Estimation of Trade Values cmd 010111 140 120 millions USD 100 80 moving average 60 carry forward 40 20 0 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

Estimation of Quantities based on Standard Unit Values (SUV) • SUV – Compiled by Estimation of Quantities based on Standard Unit Values (SUV) • SUV – Compiled by UNSD – median unit value of – each 6 -digit commodity/year/flow – after elimination of outliers – of a sample of Unit Value of – available data of the latest reporting year – that respect a certain number of criteria (box 1)

Missing values estimation conclusions • Thresholds for estimation for trade values: 1% of values Missing values estimation conclusions • Thresholds for estimation for trade values: 1% of values estimated for the whole chapter • Calculated indices present dubious movements : • Large fluctuations for chained type Indexes at 6 digits level => Issues for more disaggregated indices (2&4 digits)

Outliers detection Outliers detection

Outlier detection • “an unrealistic price growth in the product specific distribution of unit Outlier detection • “an unrealistic price growth in the product specific distribution of unit value ratios” CEPII indices : “ Unit values ratios are compared with the product specific median change in unit values computed over the whole period” • .

Outlier detection • “Value that lie far from the middle of the distribution in Outlier detection • “Value that lie far from the middle of the distribution in either direction” • Mexico and Italy : >100 obs : Asymmetric Fence Method <100 obs : Mean Absolute Deviation • UNSD : Tukey Method

AFM and MAD Formulae • Assymetric Fence Method • Mean Absolute Deviation UV =logarithm AFM and MAD Formulae • Assymetric Fence Method • Mean Absolute Deviation UV =logarithm of the unit value Q 1, Q 2; Q 3 1 st 2 nd 3 rd quartiles of log unit values of trade distribution c, k, A parameters

Specific products % chapters 84: Nuclear reactors, boilers, machinery, etc 85: Electrical, electronic equipment Specific products % chapters 84: Nuclear reactors, boilers, machinery, etc 85: Electrical, electronic equipment 29: Organic chemicals of outliers within a chapter % of outliers within a using symetric chapter using AFM yearly variation MAD detection method 15% 3% 5% 1% 2%

Comparing OECD total level indexes with those available from other international organisations and other Comparing OECD total level indexes with those available from other international organisations and other frameworks (SNA)

Percentage Change of Quantity Indices for Iceland Imports Percentage Change of Quantity Indices for Iceland Imports

Percentage Change of Quantity Indices for Turkey Imports Percentage Change of Quantity Indices for Turkey Imports

Percentage Change of Unit Values Indices for Japan Import Percentage Change of Unit Values Indices for Japan Import

Percentage Change of Unit Values Indices for Italy Export Percentage Change of Unit Values Indices for Italy Export

Next Steps Following the Program of Work Begining of 2012 : • 34 countries Next Steps Following the Program of Work Begining of 2012 : • 34 countries at a 2 digits level applying methodologies for outliers and missing values • Finding some specific treatments for specific chapters (including those that lose 30 % of their trade just by changing classification (chapters 84 -85 ) Summer 2012 : • Matrix of exports and imports unit value and quantity indices available online for comments at the 2012 WPTGS

Questions to delegates • Thresholds : on customs transactions ? • Measure of Quantity: Questions to delegates • Thresholds : on customs transactions ? • Measure of Quantity: choice of supplementary quantity or net weight values? • HS Conversion issues : How to deal with cmd of HS change ? • Estimation of Missing Values : What kind of methodology do you recommend? • More disaggregated indices (2 digits indices or more detailed) do you have special warnings or experiences to share ?