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Workshop Satellite Accounts: Data Gathering

This document provides guidance on gathering data for workshop satellite accounts, including: - Concentrating first on major sport-related goods like tourism, health, education, betting, and pay-TV, and using the production + import = consumption + export equation. - Finding first-hand production side data from annual reports, industry groups, tourism and education statistics, and using detailed Eurostat and national statistical office codes when available. - Using employment data and production/GVA correlations to approximate categories when direct data is unavailable. - Obtaining consumption data through interviews, reports, and industry groups, while recognizing correlations with employment data are not reliable. - Calculating imports by production variables and export by

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Vassos Koutsioundas
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52 views12 pages

Workshop Satellite Accounts: Data Gathering

This document provides guidance on gathering data for workshop satellite accounts, including: - Concentrating first on major sport-related goods like tourism, health, education, betting, and pay-TV, and using the production + import = consumption + export equation. - Finding first-hand production side data from annual reports, industry groups, tourism and education statistics, and using detailed Eurostat and national statistical office codes when available. - Using employment data and production/GVA correlations to approximate categories when direct data is unavailable. - Obtaining consumption data through interviews, reports, and industry groups, while recognizing correlations with employment data are not reliable. - Calculating imports by production variables and export by

Uploaded by

Vassos Koutsioundas
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Workshop Satellite Accounts

Data Gathering

Vienna, 21 April 2015

Data Gathering
Gather data by surveys, enquiries, ... or:
Concentrate on major goods first: tourism,
health, education, betting, pay-TV, trade.
Use the equation
Production + Import = Consumption + Export
If there is absolutely no clue, try to find data in
similar countries.
Do not count sponsoring and subsidies. They
are spent by sport clubs Double counting!
2

Production Side 1
As always, find first-hand-information first:
Annual reports of large companies;
Chambers of Commerce and Federations of
Industries can have detailed information;
Tourism statistics can have sport-parts;
Teaching schedules of schools show sport-lessons in
comparison to all lessons;
Hospitals and Chambers of Physicians know about
sport injuries and sport in rehabilitation;
Sport betting often well documented;
Many more country specific sources.
3

Production Side 2
Eurostat has very detailed production data:
http://ec.europa.eu/eurostat/en/web/prodcom/data/excel-files-nace-rev.2

National statistical offices have them too.


Although reported in 6-digit CPA, it is often not
clear, how much sport related.
E.g. production of gloves: 12 m Euro.
Experts may know the share (10% of gloves):
multiply with production: 1.2 m Euro sport related
gloves.
4

Production Side 3
Use indirect information. E.g.: Bicycles worth
300 m Euro sold, 250 m were imported Rest
is domestic production.

There can be detailed information about publicly


run/paid sport-facilities.

Production Side 4
It is easier to find sport-related data on 4 or 6digit level (Breeding of Racing Horses) rather
than on 2-digit CPA (Products of Agriculture).
Try therefore to find detailed entries of the
Vilnius definition and add them up. E.g.:
- Secondary education: 46% of teachers in Austria.
- Sport lessons: 8.6%
- Sport-related share of 80.2 Secondary Education in
80 Education: 0.46 x 0.086 = 0.0396 or 3.96%.
- Production value: 13,873 x 0.0396 = 551 m Euro.
- Repeat for other goods of CPA 80.
6

Production Side 5
Within each 2-digit category, shares of Gross
Value Added and Gross Production Value highly
correlate with the shares of employees.

Correlation coefficient > 90%


Absolute values can thus be approximated by
employment data, if this is available instead.

Correlations

Gross Value Added 1


Structural Business Statistic SBS: 4-digits
NACE, many useful statistics, not all sectors.
IOT 2-digits-CPA, all sectors.
Used employment data from Working Place
Count or Labour Force Survey (NACE) to
approximate CPA-categories not in SBS.

Gross Value Added 2


CPA vs. NACE:
problematic, but no better data (in Austria).

Use-table reports GVA in NACE.


Apply ratio GVA (Use) / GVA (IOT) to convert data
between these two categorisations.

10

Consumption
Interviews with chambers, doctors, CEOs,
Annual reports, School Time Tables, Public
Health Expenditures,
Correlation on 2-digits between consumption
and number of employees = 0.62. Not useable.
Federation of European Sporting Goods
Industry, FESI, has national branches. They
know a lot about trade.
Major constructions are usually made public.
11

Foreign Trade
Imports equal
+ Gross Production Value
- Gross Value Added
- Intermediate Goods Input
---------------------------------------+ Imports

Variables are production-related and thus rather


well known.
Export has consumption as one subtrahend.
Expert knowledge is important!
Otherwise use ratio domestic demand / export
from original sector.
12

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