Title: Country practices in deriving contributions to growth and changes in inventories
1Country practices in deriving contributions to
growth and changes in inventories
- Charles Aspden
- Working Party on National Accounts, October 2006
2Survey of EU and OECD Members
- Reasons
- OECD and Eurostat unable to derive contributions
to growth in GDP as published by NSOs. - Concerns about the estimation of changes in
inventories in both current and constant prices.
3Annual chain-linking and its implications for
contributions to growth
- Until quite recently, most OECD countries rebased
their constant price estimates every five or ten
years, such that the latest base year coincided
with the reference year. Consequently, their
constant price estimates were additive for recent
years and the derivation of the contributions to
the growth of GDP was straightforward. -
- Kit Kit-1 x 100
- GDPt-1
4Annual chain-linking and its implications for
contributions to growth
- Most OECD countries now derive their quarterly
volume estimates by rebasing annually and
chain-linking. (Canada and the US use Fishers
ideal index and the rest use the Laspeyres index.
Canada rebases quarterly). Nearly all the
remaining countries intend to make the change
soon. - For most countries that rebase annually or
quarterly their volume estimates are no longer
additive, and so the simple formula cannot be
used.
5Annual chain-linking and its implications for
contributions to growth
- Countries have adopted different ways of
overcoming this problem - Australia and the UK re-reference their volume
estimates to the latest base year every year.
Hence their volume estimates are additive for
recent years and the simple formula applies. - Other countries using the Laspeyres index
calculate contributions to growth using estimates
expressed in the prices of the previous year,
which are therefore additive, but it means having
five quarters in previous years prices. - Canada and the US derive weights that can be
applied to the growth rates of the components.
6Annual chain-linking and its implications for
contributions to growth
- The problem for the OECD, Eurostat and other
users is that it is now difficult, if not
impossible, for them to derive contribution to
growth data that are exactly the same as those
derived by NSOs and the questionnaire does not
include them. - Hence, the OECD and Eurostat request countries to
supply these data for Tables 0101, 0102, 0104 and
0105 (i.e. 0101 and 0102 of the new
questionnaire).
7Deriving annual chain-linked volume estimates for
series that can change sign
- The Laspeyres and Fisher formulae are not
applicable to series that can take positive,
negative or zero values. This applies to - Changes in inventories
- External balance
- GFCF, when a big second-hand sale occurs between
sectors - Countries have adopted different ways of dealing
with this problem - Differencing the most closely associated
chain-linked series, i.e. closing and opening
values for inventories, exports and imports for
external balance. - Differencing higher level aggregates, only one of
which includes changes in inventories - Do not derive chain-linked volume estimates of
such series.
8Deriving annual chain-linked volume estimates for
series that can change sign
- Differencing chain-linked series to obtain the
target series assumes an additive relationship
between the three series that is invalid, and so
this approach can only give an approximate
estimate of the target series. However, it seems
plausible to believe that the approximation will
be better the closer the relationship between the
three series is in terms of price and volume
relativities. - Given that inventory levels generally change by
only a small percentage over a quarter, the
composition of the seasonally adjusted levels of
inventories will generally be almost the same in
consecutive quarters, implying a near-additive
relationship between the chain-linked estimates
of opening and closing levels and the difference
between them.
9Deriving annual chain-linked volume estimates for
series that can change sign
- Three countries that use the recommended approach
are Canada, UK and US. Table 1 compares their
published annual estimates of chain-linked
changes in inventories with estimates derived as
GCF GFCF - The difference between the two estimates
generally grows the further they are away from
the reference year. At 30 years from the
reference year the difference often exceeds the
magnitude of the published estimates. - Sometimes abrupt changes can occur, as it did
between 1981 and 1982 for Canada.
10Importance of deriving chain-linked estimates of
changes in inventories
- While contributions to growth of GDP are useful
they are not an analytical substitute for actual
volume estimates of changes in inventories.
11Early 1980s recession in Canada ( Contributions
to growth derived using simple formula)
Quarter Changes in inventories Contribution to GDP growth GDP growth
Q280 2548 0.8 -0.2
Q380 -971 -2.4 0.0
Q480 -86 0.6 1.1
Q181 -2222 -1.5 2.5
Q281 -493 1.2 0.9
Q381 -2044 -1.0 -0.7
Q481 -4156 -1.4 -0.5
Q182 -4482 -0.2 -1.0
12Early 1980s recession in Canada cont. (
Contributions to growth derived using simple
formula)
Quarter Changes in inventories Contribution to GDP growth GDP growth
Q282 -5739 -0.9 -1.0
Q382 -6231 -0.3 -0.9
Q482 -5854 0.3 -0.9
Q183 -3610 1.6 1.5
Q283 -3638 0.0 2.3
Q383 -1854 1.2 1.1
Q483 -1132 0.5 1.2
Q184 -47 0.7 1.8
13Results of the surveyTable 2 - contributions to
growth
- About half of the countries the 23 countries that
responded release contributions to growth data - Some countries derive one component residually to
overcome problem with rounding so as to ensure
perfect additivity. Others do not bother.
14Results of the surveyTable 3 quarterly changes
in inventories
- About half of respondents release quarterly
chain-linked changes in inventories. Most use the
preferred method - Denmark and Iceland directly chain-link changes
in inventories - Czech Republic uses GCF-GFCF
- Netherlands by total final expenditures with and
without changes in inventories. See comparison
with GCF-GFCF in Table 1.
15Results of the surveyTable 3 quarterly changes
in inventories
- Sweden calculates changes in inventories in
prices of the previous year and then scales up
according to GDP. - Most countries derive quarterly current price
estimates of changes in inventories directly from
survey data, but quite a few derive them
residually. - Of the former group, a few countries have
described in detail how they go about deriving
the national accounts estimates from the raw book
value data collected from surveys. Others
provided much less detail.
16Calculating changes in inventories from survey
data
- Basic steps
- Construct end-period deflators
- Deflate book values to obtain constant price
estimates of opening and closing values - Difference to obtain constant price changes
- Inflate with centred deflator to obtain changes
at current prices - But in order to construct deflators, need to know
- how businesses value their inventories. Do they
use LIFO, FIFO or some other way (e.g. average
cost, standard cost) - Turnover rate
17Conclusions
- Please supply OECD and Eurostat with estimates of
contribution to growth of GDP - If you do not release such estimates, consider
doing so. - If you do not release chain-linked volume
estimates of changes in inventories, consider
doing so. - Derive chain-linked volume estimates of changes
in inventories by differencing chain-linked
opening and closing levels. If no levels,
consider deriving them. - For those using inventory survey data (quarterly
or annual), how well founded are your assumptions
about the inventory valuation practices of
businesses?