Compilation of Telecommunications, Computer & Information Services
This document presents insights into the compilation process of telecommunications, computer, and information services, with a focus on the International Trade in Services (ITIS) survey conducted by the Office for National Statistics. It covers the exclusion criteria, sampling methods, outliering, estimation, imputation techniques, and finalization processes involved in collecting and analyzing data for the ITIS survey. The information provided sheds light on how various sectors are sampled, weighted, and processed to generate crucial trade data sets. Through a series of examples and images, the methodology used in compiling data for the ITIS survey is elucidated.
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Presentation Transcript
The compilation of telecommunications, computer and information services Natalie Jefferies Grace Atkinson ONS 17 February 2025
Sourcing and processing data Example
International Trade in Services (ITIS) survey The ITIS survey is the UK s biggest trade in services dataset and contributes roughly 50% of all trade in services data. It is a quarterly and annual business survey that collects import and export data for 52. Breakdowns are available by product, industry and geographical region. Example
Coverage of ITIS survey The survey excludes travel, transport and banking sectors. Businesses with 0-9 employees are currently excluded. The quarterly survey samples 2,200 businesses. The annual survey samples 16,500 businesses. Companies from Northern Ireland are currently only included in the annual survey. Example
Sampling for ITIS survey High propensity industries are targeted using random sampling during the annual sampling phase. Low propensity industries are identified using their responses about importing/exporting on the ONS Annual Business Survey (ABS). A panel of known, large respondents is identified, maintained and sampled each year/quarter. Example
Outliering and estimation in ITIS A winsorisation method is used to outlier data, outliered data feeds into results but not estimation. Quarterly data is weighted using a forecast ratio derived from the latest annual dataset. In the annual data, known traders are not weighted. The random sample and businesses identified through the ABS are weighted using design weights to estimate for the non-sampled population. Example
Imputation in ITIS Quarterly data uses means of ration imputation. Previous period values, either returned or imputed are multiplied by a single mean growth known as an imputation link. Annual data is imputed dependent on how the company entered the sample Means of ratio imputation is applied to known traders Ratio of means is applied to the companies from the ABS Median imputation is applied to the random sample and ABS companies with no previous data. Example
Finalising the data Example
ITIS products These are the five products collected by ITIS that make up the telecommunications, computer and information services account. Example
Final processing Data from the relevant ITIS products are collated, and converted into EBOPS. Data will then go through supply-use balancing to give us final figures for the account. Additional processing for specific releases can then be completed, geography information also collected from ITIS is used to create country level data. Example
Data ONS publish Example
Published data Exports of telecomms, computer & information services 2019 Q1 to 2021 Q2 ( millions) 8000 2 digit level Quarterly and annual data Non-seasonally adjusted 67 countries + 11 regional groups 7000 6000 5000 4000 3000 2000 1000 0 2019Q1 2019Q2 2019Q3 2019Q4 2020Q1 2020Q2 2020Q3 2020Q4 2021Q1 2021Q2 9 Telecomms, computer & information services 9.1 Telecommunications services 9.2 Computer services 9.3 Information services Example
Other ONS releases Trade in Services by partner country Trade in Services by Industry Modes of Supply Example
Thank you for your time, we will now be happy to take any questions. You can contact us using any of the below email addresses: Trade@ons.gov.uk Natalie.Jefferies@ons.gov.uk Grace.Atkinson@ons.gov.uk Example
