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Country practices in deriving contributions to growth and changes in inventories

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Title: Country practices in deriving contributions to growth and changes in inventories


1
Country practices in deriving contributions to
growth and changes in inventories
  • Charles Aspden
  • Working Party on National Accounts, October 2006

2
Survey 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.

3
Annual 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

4
Annual 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.

5
Annual 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.

6
Annual 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).

7
Deriving 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.

8
Deriving 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.

9
Deriving 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.

10
Importance 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.

11
Early 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
12
Early 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
13
Results 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.

14
Results 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.

15
Results 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.

16
Calculating 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

17
Conclusions
  • 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?
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