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Analysis of revisions for shortterm economic statistics

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Need to look at other time windows and remove outliers. Sign change analyse of MoM revisions ... Live version. http://stats.oecd.org/mei/default.asp?rev=1 ... – PowerPoint PPT presentation

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Title: Analysis of revisions for shortterm economic statistics


1
Analysis of revisions for short-term economic
statistics
OECD Short Term Economic Statistics Working Party
  • Richard McKenzie OECD

2
Analysis of revisions for short-term economic
statistics
  • Main results from OECD revisions analysis study
    for the index of industrial production
  • Country comments and reactions
  • Preliminary results from a similar OECD study on
    Retail Trade Volume
  • OECD Main Economic Indicators Original Release
    Data and Revisions Database
  • Providing the tools for countries to do their own
    analysis

3
Revisions analysis for IIP
  • An attempt to analyse 3 dimensions of statistical
    quality and make comparisons across countries
  • Timeliness
  • Accuracy (assessed through revisions)
  • Coherency (between IIP and GDP in industry)
  • Also able to study the interactions between these
    quality measures
  • Monthly snapshots of data published in MEI CD-Rom
    from February 1999 March 2006

4
Main reasons for revisions in IIP
  • Late data or revised data from respondents later
    correction of errors or imputations
  • Different estimation methodologies for early
    estimates and lower sample sizes
  • Updating of seasonal factors
  • Benchmarking to other sources (e.g. National
    Accounts or annual structural surveys)
  • Changes to base period and changes in statistical
    methodology, classifications etc.

5
Mean absolute revision to first estimates of
year-on-year growth rates
6
Mean absolute revision to first estimates of
year-on-year growth rates
7
Are revisions statistically significant?
  • Mean absolute size of revisions is important
  • Revisions analysis quantifies this and provides a
    basis to review our compilation methods
  • Ideally revisions should centre around zero over
    time (i.e. equally likely to be or - )
  • If this is not true then reasons causing this
    tendency in the compilation process must be found

8
Mean revision between first estimates and
published one year later
9
Mean revision between first estimates and
published one year later
10
Which short term measures should we advise users
to focus on?
  • Are first estimates of month-on-previous-month
    growth rates from the IIP reliable enough to
    enable informed decision making?
  • Not in most countries! First estimates of MoM
    growth rates revised by 2/3 initial value on
    average after one year (95 countries revised by
    more than 2/5)
  • Shows the value that revisions analysis can
    provide to users
  • How to extract the latest signals in estimates
    without being misleading?

11
Reliability of MoM growth rates to signal
expansion or contraction (sign of first estimate
compared to that one year later)
12
Do revisions affect identification of turning
points?
  • Very difficult to study
  • As future turning points interact with past
    revisions
  • OECD Composite Leading Indicators dates turning
    points in IIP using the Bry-Boschan routine
  • Compared series of first estimates of YoY growth
    rates with those published two years later, at
    the BB turning point spots
  • Where turning points were evident in the YoY
    growth rates series, preliminary estimates and
    those 2 years later usually coincided or were
    very close

13
Timeliness and accuracy
  • Is there a trade-off between timeliness and size
    of revisions for the index of industrial
    production?
  • Might expect those countries which publish
    earlier to have higher revisions at least in
    the following two months
  • E.g. due to estimation based on lower response
    rates, less editing of errors, flash estimation
    techniques

14
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15
Mean absolute revision to year-on-year growth
rates before and after an improvement in
timeliness.
16
Coherence analysis
  • In concept the Index of industrial production
    should have a strong relationship to Value added
    in industry from the National Accounts
  • Coherency test compare annual growth rates of
    IIP (most recent series) to annual growth rates
    in value added in industry from the national
    accounts
  • Maybe the countries with high revisions are more
    coherent (e.g. due to revisions caused by
    benchmarking?)

17
Correlation between annual growth rates for the
IIP and GDP in industry from the annual national
accounts
18
Review of country comments to IIP revisions
analysis study
  • Comparisons with similar studies done by the
    national institute (or comments on results /
    methods used)
  • Generally similar results for countries that had
    done their own studies (some exceptions)
  • Need to look at other time windows and remove
    outliers
  • Sign change analyse of MoM revisions
  • Impact of seasonal effects should be separated
  • Few comments on the validity of the timeliness
    analysis

19
Review of country comments to IIP revisions
analysis study
  • Comments on reasons for revisions and national
    revisions analysis policies
  • About 1/3 countries reported aspects of their
    revisions analysis policy (some with recent
    changes and efforts to be clear to users in this
    area)
  • Need to be wary of revisions analysis as
    definitive measure of quality (one user
    emphasised the preference for transparency on
    statistical methods)
  • Reasons for revisions covered earlier, all in
    line with those presented in the paper

20
Review of country comments to IIP revisions
analysis study
  • Comments on the importance of performing
    revisions analysis for Short term statistics
  • 2/3 countries stressed the importance of
    performing revisions analysis
  • Many countries welcomed the provision of tools
    and a standardised approach which can save their
    resources

21
Preliminary results from Retail Trade Volume
revisions analysis
  • Very similar results to analysis of IIP
  • Mean absolute revisions increase the longer the
    revision interval
  • Revision size similar across countries with
    some countries noticeably higher and with mean
    revision statistically significant
  • First estimate of MoM growth rates subject to
    large revision within one year

22
Mean absolute revision to first estimates of
year-on-year growth rates
23
Mean absolute revision to first estimates of
year-on-year growth rates
24
Mean revision between first estimates and
published one year later
25
Mean revision between first estimates and
published one year later
26
OECD Main Economic Indicators Original Release
Data and Revisions Database
  • Full time series of data published every month
    starting from the February 1999 edition of the
    Main Economic Indicators for 21 key economic
    variables
  • Access OECD revisions analysis studies for GDP,
    Index of Industrial Production and Retail Trade
    Volume
  • Automated programs and detailed user guide
    allowing users to perform there own revisions
    analysis for any country / variable combination
    available in the database
  • Information on reasons for revisions and
    references to international recommendations for
    establishing revisions analysis policies (IMF
    SDDS and OECD)

27
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28
Live version
  • http//stats.oecd.org/mei/default.asp?rev1

29
Conclusions / Future work
  • Engaging users on results of revisions analysis
    studies
  • Especially the expected reliability of different
    measures from first estimates should we do more
    work to promote more appropriate measures?
  • How to promote the facilities developed by the
    OECD
  • Large saving of resources for NSIs to perform
    revisions analysis, with OECD or their own data
  • How to use the results from revisions analysis to
    improve compilation methods?

30
THE END
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