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MEETING OF THE WORKING PARTY ON NATIONAL ACCOUNTS Paris, 1114 october 2005

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Title: MEETING OF THE WORKING PARTY ON NATIONAL ACCOUNTS Paris, 1114 october 2005


1
MEETING OF THE WORKING PARTY ON NATIONAL
ACCOUNTSParis, 11-14 october 2005
  • REVISIONS IN QUARTERLY GDP OF OECD COUNTRIES
  • Tommaso Di Fonzo
  • OECD and University of Padova

2
Aims of the paper
  • Building, maintaining and using revisions
    databases the QNA-MEI experience
  • Some remarks on strategy and tools for revisions
    analysis
  • Revisions histories of GDP (real, sa) q-o-q
    growth rates in 18 OECD countries
  • Size of revisions to the first published
    estimates (P) on MEI (May 1995 Aug 2005)

3
Main results
  • Average number of months between the date of
    publication of GDP on MEI and the third month of
    the reference quarter

4
Main results
  • Revisions to the first published estimates of
    q-o-q GDP growth rates () on MEI. Mean absolute
    revision (1997.2-2002.1)

5
Main results
  • Revisions to successive estimates of q-o-q GDP
    growth rates (). Mean absolute revision
  • (1997.2-2002.1)

6
The QNA-MEI revisions dataset
  • OECD-ONS workshop on Assessing and improving
    statistical quality. Revision analysis for the
    national accounts, 7-8 October 2004
  • The OECD also agreed to explore the possibility
    to expand and maintain the revisions database
    that was set up for purposes discussed in the
    workshop.
  • An international dataset and the resulting
    summary measures of revisions should help to put
    countries individual revision analyses into an
    international context.
  • First elements presented also at the STESEG
    meeting, 27-28 June 2005

7
OECD Main Economic Indicators
  • Published in paper format since the early 1960s
  • Long time series for key short-term economic
    statistics for most OECD countries
  • Quarterly GDP and expenditure components
  • Indices of industrial production Composite
    Leading Indicators
  • Retail Trade, Consumer and Producer Prices
  • Wages, employment and unemployment
  • Interest rates, exchange rates, monetary
    aggregates
  • Business tendency and consumer opinion surveys
  • International trade and international finance
  • Balance of payments

8
MEI as a revisions database source
  • MEI monthly snapshots in principle provide
    historical data on subsequent releases on a wide
    range of key variables
  • Provides a coherent set of variables representing
    the information set available at successive
    monthly intervals
  • MEI has been published as a CD Rom for many years

9
OECD interest in a revisions database
  • Analysis Are revisions random (i.e. centred
    around 0)? Are they in general becoming smaller?
  • Support internationally coordinated research work
    to improve the quality of early estimation
    methods
  • Encourage transparency in the statistical process

10
The QNA-MEI revisions dataset
  • Initial OECD work (Ahmad, Bournot Koechlin,
    2004) was for G7 countries, period 1996 2000
  • Current project (Di Fonzo, STESEG 2005)
  • Expand coverage to all OECD countries
  • Expand time period covered
  • Devise a scheme which can support ongoing
    production of real time database summary
    revision analysis indicators
  • Quarterly GDP and its components

11
Data availability for GDP (constant prices, sa)
in the QNA-MEI revisions database
12
QNA-MEI revisions datasetCaveats for
international comparisons
  • P are not necessarily flash estimates
  • Timeliness of P differs between countries
  • No attempt is made to isolate the different types
    of revisions, (including errors)
  • Differences may exist between estimates and
    national estimates
  • No investigation into influence of economic cycle
  • Period covers SNA93 introduction and other
    changes, fixed base, chain-linking

13
Release time of GDP (P) on MEIFurther cautionary
notes
  • MEI is commonly published during the first week
    of the month
  • Different release timing across countries
  • There is no guarantee that the first number
    published in MEI is really the first number ever
    released
  • QNA-MEI view on timeliness in the release of
    GDP
  • The true timeliness is filtered through the
    publication practices adopted by OECD in the last
    decade

14
Release time of GDP on MEI
15
Average number of months between the date of
publication of GDP on MEI and the third month of
the reference quarter
16
Some notation
  • L latest available estimate of GDP published on
    MEI at least 36 months after the first published
    estimate P
  • The revision process is evaluated at 1, 2 and 3
    years after the first published estimate
  • Y1 estimate published 12 months after P
  • Y2 estimate published 24 months after P
  • Y3 estimate published 36 months after P
  • In Ahmad et al. (2004) the successive revisions
    between P and L are considered as the values
    published on MEI of December for the years t1,
    t2 and t3 (D1, D2 and D3, respectively), where
    t denotes the year to which the reference quarter
    belongs
  • In what follows, only Y1, Y2 and Y3 will be
    considered, while in the statistical annex also
    D1, D2 and D3 are analyzed

17
Revisions databaseFrom levels
P
Y1
18
to QoQ rates of change
19
to revisions spreadsheet
20
to charts
21
to revisions analysis tables
22
Revisions analysis Summary statistics
  • Mean revision
  • Mean absolute revision
  • Mean squared revision
  • L gt P
  • sign(L) sign(P)

23
Revisions analysisAssessing the significance of
the mean revisions
  • Standard t-test
  • Modified t-test using AR(1)-based corrections
    (ONS)
  • Modified t-test using HAC (Heteroskedasticity,
    Autocorrelation Consistent) estimate of the
    variance of the mean revision (technical details
    in Di Fonzo, 2005)
  • HAC procedure has been implemented in the OECD
    spreadsheet for revisions analysis

24
Revisions analysisMean squared revision and its
decomposition
  • Summary measure based on a quadratic loss
    function

25
Revisions analysisMean squared revision and a
useful decomposition
  • UM proportion of MSR due to systematic
    differences between the preliminary and the
    latest estimates
  • UR proportion of MSR due to the slope
    coefficient in the regression
  • UD disturbance proportion of MSR, part of the
    revision which is not explained by the mean or
    slope error
  • Good preliminary estimates will have low values
    of UM and UR and a high value of UD

26
Revisions to the first published estimates of
q-o-q GDP growth rates () on MEI. Mean absolute
revision (1997.2-2002.1)
27
Revisions to successive estimates of q-o-q GDP
growth rates (). Mean absolute
revision(1997.2-2002.1)
28
Comments
  • The revisions to the first published estimates
    have been of similar magnitude for most countries
  • In Japan and Korea and, to a minor extent,
    Belgium, Denmark, Finland, New Zealand, Norway
    and Portugal, they have tended to be larger
  • The size of the revisions over the period 1997.2
    to 2002.1 becomes smalleron average
    Y1-P gt Y2-Y1 gt Y3-Y2for 10 countries
    over 18 (Australia, Belgium, Canada, Denmark,
    Finland, Italy, Korea, Netherlands, Switzerland
    and USA).The opposite is registered for Spain
    and, less markedly, for France

29
Is the mean revision to the first published
estimates significant?
30
Is the mean revision from successive estimates
significant?
31
Comments
  • The test conducted to check whether mean
    revisions are statistically different from zero
    gives the following results
  • Revisions to the first published estimates of
    GDPevidences confirming this fact emerge for
    Canada, Denmark, France, Italy, Norway and United
    Kingdom.
  • Process of revision significant mean revision
    of Y2 to Y1 only for Canada (last common 20
    quarters)the mean revision of Y3 to Y2
    resulted significant for Canada, Japan, New
    Zealand (last 20 quarters), Switzerland and
    United Kingdom (whole sample)Germany is the
    only country showing significant mean revision in
    the Latest vs. Y3 comparison.

32
Obstacles to extending the work
  • Possible gaps in our electronic sources pre-1995,
    only resort may be paper copies ....
  • How far back should the revisions database go?
  • Operational problems (e.g. series code changes)
  • Methodological issues
  • Constancy of national series over time (e.g.
    various methodological changes causing breaks
    revisions)
  • OECD procedures (basically, for QNA series,
    seasonal adjustment)
  • Data management (produces big databases)

33
Elements for discussion
  • Presentation of revisions, evaluating the first
    revision registered on MEI, effect of different
    time periods on the summary statistics, stability
    of the results, use of other (simple) descriptive
    measures?
  • Possible use of a QNA-MEI revisions database by
    member countries?
  • Priority for analyzing other QNA series and how
    to use the results?
  • - e.g. as an input to internationally coordinated
    methodological work?
  • - To reconsider policies for communicating
    information on revisions to users?

34
  • THANK YOU!
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