Jennifer Ribarsky
Head of Sectoral National Accounts Section
Statistics Directorate
OECD Global Forum on Productivity
14 October 2016, London
MEASURING GDP
IN A DIGITALISED ECONOMY
Background
2
Increased prevalence of
‘new’ transformative
(digital) technologies
But….
…. Declining productivity
Market capitalisation of AirBnB (£ Billions)
Trend labour productivity growth
Is it a mis-measurement problem?
Charlie Bean: “statistics
have failed to keep pace
with the impact of
digital technology”
The internet and the productivity slump
The U.S. Underestimates Growth
Charles Hulten:
Valuing the Net and
the wide range of
applications… is
challenging…. and
their omission or
undervaluation surely
affects GDP.”
Diane Coyle: The pace of
change in OECD
countries is making the
existing statistical
framework decreasingly
appropriate for
measuring the economy
Why we’re
measuring the
digital economy
in the wrong
way
Some optimists
argue instead that
the problem is one
of measurement.
Technological
progress often
raises productivity
in ways that
statistical agencies
struggle to detect
• Based on an OECD working paper on
Measuring GDP in a digitalised
economy (N. Ahmad, P. Schreyer)
– Issues and challenges of digitalisation
• Aim: Take stock of current and best practices of
OECD countries and key partners
– 29 country responses (as of 1/10/2016)
Survey of country practices
Digital intermediaries
Digital intermediaries
For C2C
Dwelling services,
Business & Transport,
Finance
Conclusions:
Conceptual framework
sufficiently robust
Estimation methods may
need to be adjusted
• A few countries capture digital
rentals of dwelling services-
mainly through tax records
• More countries appear to capture
Business and transport
services- mainly from tax
records and labour force surveys
• Almost no country has
estimates on financial
intermediation services
Consumer durables and investment
Household durables used in production
Rise of the ‘occasionally’
self-employed:
And use of durables in
production
Not a new phenomena
and no impact on GDP
Although MFP will be affected
• But may be a need for
more detailed guidance on
delineation
• A few countries make
this distinction based on
car registration, surveys,
private market research,
assumptions
Knowledge based capital and
globalisation
‘Investment’ outside of the SNA asset boundary and cross-border flows
Many ‘intangible’ assets
already in the SNA but many
are not:
Human capital,
Knowledge in databases,
Organisational capital ,
Brands
And for those assets in the
boundary, difficulties with
cross-border transactions
remain
Not a new phenomena
Considered in the 2008 SNA
revision process but ruled out
on practical grounds.
Guidance developed in
various Task Forces but
further work may be
needed as the scale of the
problem remains unknown
Prices and volumes
A significant challenge
Customisation
Outlet bias
Quality change
Not a new phenomena
but challenges remain
Price indices for software investment
• Majority treat as change in price, price
differences in distribution margins occurring from
buying products provided on-line versus in a store.
• Only one country takes into account changes in
quality (such as self-service checkouts at super
markets) due to the increased participation
of consumers in the production process.
• Some countries are currently using or exploring
new data sources, such as those that can be
captured via web-scraping, to help deal with
rapid quality changes and the emergence of
new products as a consequence of digitalization.
Prices
• For own account software, many
countries use some variation of an input
method or use a services producer price
index (SPPI)
• For R&D, countries use an index of wage
and salary earnings or in many cases
taking into account all input costs (aka.
Input method)
• Input method does not capture quality or productivity
changes (unless an explicit adjustment is made)
Software and R&D prices
• That the conceptual framework is robust
• But measurement in some areas may
require improvement and new approaches
for
– The occasionally self-employed
– International transactions in IPPs
– And Prices
• Whilst also recognising that complementary
statistics to bridge gaps between consumer surplus
and GDP may be necessary (satellite accounts)
Conclusions:
Thank you

Measuring GDP in a digitalised economy

  • 1.
    Jennifer Ribarsky Head ofSectoral National Accounts Section Statistics Directorate OECD Global Forum on Productivity 14 October 2016, London MEASURING GDP IN A DIGITALISED ECONOMY
  • 2.
    Background 2 Increased prevalence of ‘new’transformative (digital) technologies But…. …. Declining productivity Market capitalisation of AirBnB (£ Billions) Trend labour productivity growth
  • 3.
    Is it amis-measurement problem? Charlie Bean: “statistics have failed to keep pace with the impact of digital technology” The internet and the productivity slump The U.S. Underestimates Growth Charles Hulten: Valuing the Net and the wide range of applications… is challenging…. and their omission or undervaluation surely affects GDP.” Diane Coyle: The pace of change in OECD countries is making the existing statistical framework decreasingly appropriate for measuring the economy Why we’re measuring the digital economy in the wrong way Some optimists argue instead that the problem is one of measurement. Technological progress often raises productivity in ways that statistical agencies struggle to detect
  • 4.
    • Based onan OECD working paper on Measuring GDP in a digitalised economy (N. Ahmad, P. Schreyer) – Issues and challenges of digitalisation • Aim: Take stock of current and best practices of OECD countries and key partners – 29 country responses (as of 1/10/2016) Survey of country practices
  • 5.
    Digital intermediaries Digital intermediaries ForC2C Dwelling services, Business & Transport, Finance Conclusions: Conceptual framework sufficiently robust Estimation methods may need to be adjusted • A few countries capture digital rentals of dwelling services- mainly through tax records • More countries appear to capture Business and transport services- mainly from tax records and labour force surveys • Almost no country has estimates on financial intermediation services
  • 6.
    Consumer durables andinvestment Household durables used in production Rise of the ‘occasionally’ self-employed: And use of durables in production Not a new phenomena and no impact on GDP Although MFP will be affected • But may be a need for more detailed guidance on delineation • A few countries make this distinction based on car registration, surveys, private market research, assumptions
  • 7.
    Knowledge based capitaland globalisation ‘Investment’ outside of the SNA asset boundary and cross-border flows Many ‘intangible’ assets already in the SNA but many are not: Human capital, Knowledge in databases, Organisational capital , Brands And for those assets in the boundary, difficulties with cross-border transactions remain Not a new phenomena Considered in the 2008 SNA revision process but ruled out on practical grounds. Guidance developed in various Task Forces but further work may be needed as the scale of the problem remains unknown
  • 8.
    Prices and volumes Asignificant challenge Customisation Outlet bias Quality change Not a new phenomena but challenges remain Price indices for software investment
  • 9.
    • Majority treatas change in price, price differences in distribution margins occurring from buying products provided on-line versus in a store. • Only one country takes into account changes in quality (such as self-service checkouts at super markets) due to the increased participation of consumers in the production process. • Some countries are currently using or exploring new data sources, such as those that can be captured via web-scraping, to help deal with rapid quality changes and the emergence of new products as a consequence of digitalization. Prices
  • 10.
    • For ownaccount software, many countries use some variation of an input method or use a services producer price index (SPPI) • For R&D, countries use an index of wage and salary earnings or in many cases taking into account all input costs (aka. Input method) • Input method does not capture quality or productivity changes (unless an explicit adjustment is made) Software and R&D prices
  • 11.
    • That theconceptual framework is robust • But measurement in some areas may require improvement and new approaches for – The occasionally self-employed – International transactions in IPPs – And Prices • Whilst also recognising that complementary statistics to bridge gaps between consumer surplus and GDP may be necessary (satellite accounts) Conclusions:
  • 12.