Title: Analysis of revisions for shortterm economic statistics
1Analysis of revisions for short-term economic
statistics
OECD Short Term Economic Statistics Working Party
2Analysis 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
3Revisions 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
4Main 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.
5Mean absolute revision to first estimates of
year-on-year growth rates
6Mean absolute revision to first estimates of
year-on-year growth rates
7Are 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
8Mean revision between first estimates and
published one year later
9Mean revision between first estimates and
published one year later
10Which 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?
11Reliability of MoM growth rates to signal
expansion or contraction (sign of first estimate
compared to that one year later)
12Do 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
13Timeliness 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
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15Mean absolute revision to year-on-year growth
rates before and after an improvement in
timeliness.
16Coherence 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?)
17Correlation between annual growth rates for the
IIP and GDP in industry from the annual national
accounts
18Review 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
19Review 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
20Review 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
21Preliminary 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
22Mean absolute revision to first estimates of
year-on-year growth rates
23Mean absolute revision to first estimates of
year-on-year growth rates
24Mean revision between first estimates and
published one year later
25Mean revision between first estimates and
published one year later
26OECD 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)
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28Live version
- http//stats.oecd.org/mei/default.asp?rev1
29Conclusions / 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?
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