Validation in International Trade in Goods Statistics Lídia Bassó

Slides:



Advertisements
Similar presentations
HS 67 - Intro Health Statistics Describing Distributions with Numbers
Advertisements

France : Improving checks in customs data OCDE – 7 November 2011.
Assessing validation effectiveness – results from a recent MEETS project and future plans Anette Hertz, Head of section, Statistics Denmark
1 Calculation of unit value indices at Eurostat Training course on Trade Indices Beirut, December 2009 European Commission, DG Eurostat Unit G3 International.
Quality control of daily data on example of Central European series of air temperature, relative humidity and precipitation P. Štěpánek (1), P. Zahradníček.
Finding Mean, Median, Upper Extreme, Lower Extreme and Standard Deviation Using the Graphics Calculator.
Measures of Central Tendency Foundations of Algebra.
Chapter 10 Verification and Validation of Simulation Models
Measures Of Central Tendency
1 Chapter 10: Describing the Data Science is facts; just as houses are made of stones, so is science made of facts; but a pile of stones is not a house.
Validation and credibility checking procedures in UK trade-in-goods statistics HMRC Trade Statistics Don Priest.
1 STAT 500 – Statistics for Managers STAT 500 Statistics for Managers.
1 This presentation has been prepared by Jørn Kristian Undelstvedt, Gisle Berge and Håkon Skullerud Pilot study on import and export of waste Overview.
Variation, Mean Absolute and Standard Deviation (12-3) Objective: Calculate and interpret variation in real world context through the use of mean absolute.
Introduction Dispersion 1 Central Tendency alone does not explain the observations fully as it does reveal the degree of spread or variability of individual.
 Andersen Consulting 2000 MM03 - Master Data in Purchasing & Contract November, 2000.
Maria Garcia US Census Bureau UNECE/SDE, Oslo, Norway, September 2012 An Application of Selective Editing to the US Census Bureau Trade Data.
© Copyright INFORM GmbH Estimation Procedure INFORM GmbH, Aachen.
6.1 - Measures of Central Tendency and Variation
Satellite data monitoring
INTRODUCTION TO STATISTICS
PRESENTATION OF MONTENEGRO
Measures of dispersion
Measures of Dispersion
Chapter 5 : Describing Distributions Numerically I
Just the basics: Learning about the essential steps to do some simple things in SPSS Larkin Lamarche.
Anna Długosz Central Statistical Office of Poland
Understanding Results
Measures of Central Tendency
Standard Deviation.
MM03 - Master Data in Purchasing & Contract
Introduction to Summary Statistics
Measures of Central Tendency
Introduction to Summary Statistics
Chapter 10 Verification and Validation of Simulation Models
International Trade in Goods Statistics in the EU Lídia Bassó
MEASURES OF CENTRAL TENDENCY
Sales Order Process.
Introduction to Summary Statistics
Box and Whisker Plots Algebra 2.
Sub-Regional Workshop on International Merchandise Trade Statistics Compilation and Export and Import Unit Value Indices 21 – 25 November Guam.
Some elements on compliance actions and threshold setting in the Italian Intrastat system ADVANCED ISSUES IN INTERNATIONAL TRADE IN GOODS STATISTICS ESTP.
Asymmetries in international Trade in Goods
Structural Business Statistics Data validation
International Trade in Goods Statistics Methodology Akos Gerencser
Data exchange between ENP-South countries and Eurostat
Price Indices for External Trade of Goods Eleonora Baghy 26/05/2013
Using statistics to evaluate your test Gerard Seinhorst
WinTIM, Indices methodology and tool Wiking Althoff, CESD Communautaire External trade experts meeting on the CARDS Programme, Luxembourg, May.
Estimation techniques for missing intra-EU trade
How to maintain high quality in times of diminishing resources
A New Business Statistics in Finland - Quarterly Investments
Prodcom ESTP course October 2010
Provisions of totals and zero records (point for decision)
Data collection including specific goods Lídia Bassó
Warm Up # 3: Answer each question to the best of your knowledge.
Seminar on External Trade Statistics (ETS)
Data validation handbook
DATA VALIDATION Foreign Trade Statistics
Data processing German foreign trade statistics
Cost Centers : Actual Costs
Statistics Screens for TI Graphing Calculators
Statistics Standard: S-ID
Synthesis of Asymmetry Studies
Tukey Box Plots Review.
Unit 2: Descriptive Statistics
Warm up Honors Algebra 2 3/14/19
PRODCOM Working Group JMO M November 2012
Finding Statistics from a frequency table
ESTP course on International Trade in Goods Statistics
Presentation transcript:

Validation in International Trade in Goods Statistics Lídia Bassó Hungarian Central Statistical Office Dpt. of Services and External Trade Statistics Validation in International Trade in Goods Statistics Lídia Bassó MEDSTAT study visit on ITGS Budapest, 27-28 May, 2013

Abbreviations AVG – average CN8 – 8-digit commodity code of the Combined Nomenclature NoT ˜– nature of transaction NSI – National Statistical Institute STD – standard deviation SU quantity – quantity measured in supplementary unit

Topics covered Validity checking Credibility checking Types of credibility errors Credibility checking at trader level Credibility checking at item level Calculation of credibility ranges Manual adjustments of credibility ranges Priority setting of credibility errors Process of credibility checking & correction

Validity checking Clear-cut if data are right or wrong Individual compulsory boxes are filled in with valid codes or figures Customs checks and corrects them NSI checks them again Logical connections between boxes within the item (record) NSI checks CN8 and mode of transport – which commodities might be transported by fixed transport installations (e.g. gas, oil) own propulsion (vehicles) Some limits in the text of CN8 for unit value or unit net mass

Credibility checking Most often using several data within the item for checking NOT clear-cut if data are right or wrong More or less suspicious data for the statistician Statistical checks

Types of credibility errors Definite error (D) when error is very likely MUST always be checked and corrected / accepted Possible error (P) suspicious data to be checked acc. to priority order

Credibility checking at trader level (P) New CN4 or country code / flow declared by trader for which trade fairly concentrated in the past 24 months number of CN4 codes declared ≤ 10 or number of countries declared ≤ 4 AND value of trade on the new code exceed a given value (36 000 €)

Credibilty checking at item level Same stat. value for more items within one declaration (P) Net mass or suppl. quantity > stat. value (1€ ~ 275 HUF) (D) Stat. value / invoice value > 2 or < 0,5 (P) Some CN codes always checked with trader if it is correct (D) excluded by regulation (4907, 71189000) vessels & aircraft, treasures of art Items of high value (imp. 4 million €; exp. 8 million €) (D) Credibility ratios (D) or (P) value / net mass (value / SU quantity) (net mass / SU quantity )

Credibility ranges Defined for credibility checking of CN8s/flow Aim – control credibility ratio(s) of declared items unit value credible D P P D

Calculation of credibility ranges (1) Calculated for credibility ratios of CN8s/flow, quarterly from item level credibility ratios of the past 12 months NoT code 11 only, excl. some spec. CN8 codes where variety of ratios is extreme Data cleaning some of the highest and lowest ratios (outliers) excluded Calculation based on variability of the item level credibility ratios

Calculation of credibility ranges (2) Intervals where the credibility ratios are accepted. IF THEN Coefficient of variation (%) Credibility range from AVG (x) 0 – 9 1/1.5x – 1.5x 10 – 19 1/2x – 2x 20 – 39 1/3x – 3x 40 – 59 1/4x – 4x 60 – 79 1/5x – 5x 80 – 89 1/6x – 6x 90 – 99 1/7x – 7x 100 – 1/8x –8x products of low variability products of high variability

Manual adjustments of credibility ranges Changing upper and/or lower limit of the general range e.g. limit in text of CN8 next automatic calculations can not overwrite Defining individual limits by CN8/flow/trader

Priority setting of credibility errors (1) Value of transaction (€)   Declared item’s difference form its credibility limit < 2x 2x – 5x 5x – 10x 10x – 100 100x < Low var. High var. < 200 9 201 – 2 000 8 3 7 1 2 2 001 – 8 000 6 4 8 001 – 200 000 5 D 200 001 <

Priority setting of credibility errors (2) Type of credibility error Priority Same stat. value for more items within one decl. 1 Stat. value / inv. value > 2 or < 0,5 1/2/3/9 New CN4 or country at trader level 2 Depending on stat. value When more errors with different priorities in one item, the highest one is the overall priority.

Process of credibility checking & correction A programme selects credibility errors, allocating priorities Checking/correction by contacting trader about definite errors (error list sent by post) expert correction on the basis of past info (until answer arrives) + phone calls when urgent Direct contact with traders, never sent back to Customs! IT application running on PCs (with all necessary info available) to manual checking & correction of credibility errors set manual credibility limits

Checking validity of traders’ total values (TV) For the top 100 traders Aim – detection of outliers Classifying total value / trader /flow of the ref. month on the basis of its own last 12 months’ average, minimum, maximum values accepted if AVG * 0.5 ≤ TV ≤ AVG * 2 suspicious if min. ≤ TV ≤ max. upper outlier if not accepted and. TV > max. lower outlier if not accepted and TV < min. no value if TV = 0 can not be classified if AVG = 0 (no past data) List of the outcome Manual checking, consultation with traders

Thanks for your attention! lidia.basso@ksh.hu