United Nations Statistics Division

Dissemination of IIP data

Dissemination of IIP data Dissemination principles Recommended content for publication

of IIP Data revisions International reporting

Dissemination principles General dissemination principles

apply to releases of IIP data Statistical confidentiality Equality of access Objectivity

Also described in IRIS 2008

Statistical confidentiality Included in the United Nations

Fundamental Principles of Official Statistics “Individual data collected by statistical

agencies for statistical compilation, whether or not they refer to natural or legal persons, are to be strictly confidential and used exclusively for statistical purposes.” (UNSC 1994)

Statistical confidentiality Sometimes it is possible to deduce

information about an individual economic unit from aggregated information especially when the contribution of one (or two) economic unit dominates the total

Statistical confidentiality Accepted rules in business statistics:

A tabulation cell should comprise at least three units

For cells with largest numbers, the three units with the largest values should together not dominate, i.e. not account for more than 70 per cent of the cell value

Statistical confidentiality Practices to protect disclosure of

confidential data Aggregation Suppression

May require secondary suppression Other:

Controlled rounding Perturbation

Equality of access Statistics compiled by national

statistical offices are collective goods no users are privileged and everyone can

take note of statistical data under equal terms

no new data are supplied to anyone before these are officially released internal release e.g. to key ministries may

be necessary

Equality of access In most cases press release is the first

publication Serves dual purpose:

making the data officially public signal to the data users that additional

data on the subject can be obtained from the NSO

Advance release calendar should be publicly available

Timeliness Timeliness of release of annual and

infra-annual statistics varies Trade-off between timeliness and

quality (accuracy)

Recommendation for IIP: Monthly IIP released within 45 days after

the end of the reference month

Objectivity Released data should not be

accompanied by judgments or recommendations The independent and objective position

of the national statistical office does not permit subjective interpretations

Note: Methodological explanations and advice should be included

Recommended content for publication Both ‘original’ data series and seasonally adjusted

data series should be published A reference period needs to be determined and

convention is that this period is set to a value of one hundred (100.0)

Present changes between month-to-month and change over same month of previous year

Present the main contributors to change, i.e. those product groups or industries that are primarily responsible for the monthly movement in the IIP

Additional content for publication Descriptions of the methodologies used in the

compilation of the index (choice of index formula, strategy for constructing the index series etc.)

Definitions of the underlying economic concepts the indices intend to measure

Weighting system used, weight update practices and frequency of weight update

Treatment of changes in the composition of commodities in the market as well as changes in quality

Limitations in the use or application of the indices

Data revisions Data revisions are inherent in the way

estimates are compiled and released, reflected in Preliminary data

Based mainly on trends and statistical techniques

Provisional data Based on limited amount of data

Final data Based on comprehensive data

Data revisions Result of the trade-off between need

for timeliness of published data and their reliability, accuracy and comprehensiveness

May be perceived as negative Unavoidable for data like IIP, where

high frequency and fast availability is important

Data revisions Reasons:

“normal” statistical procedures (new information available, change in data source, change in base year)

Correction of errors

Also: changes in underlying definitions, classifications etc. Less frequent, not strictly “revisions”, but

often occurring at the same time Explanation should be provided to avoid

misinterpretation of reasons for data changes

Data revisions Revision policy for normal statistical

data revisions should be developed, featuring: predetermine schedule reasonable stability from year to year openness advance notice of reasons and effects easy access of users to sufficiently long

time series of revised data as well as adequate documentation of revisions

International reporting IIP has been collected by UNSD since

the 1950’s Current level of collection

Monthly data at section level (1-digit) of ISIC

Quarterly data at division level (2-digit) of ISIC

Change from ISIC Rev.3 to ISIC Rev.4