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United Nations Statistics Division/DESA International Recommendations for the Index of Industrial Production (IIP)

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Presentation on theme: "United Nations Statistics Division/DESA International Recommendations for the Index of Industrial Production (IIP)"— Presentation transcript:

1 United Nations Statistics Division/DESA International Recommendations for the Index of Industrial Production (IIP)

2 History  Index of Industrial Production has been calculated since the 1920s UNSD has collected series going back to 1938  Methodology was described in 1950 UN Manual on “Index of industrial production” Number 1 in series of publications on international recommendations and guidelines (Series F)

3 History  The 1950 manual was not updated  However, related guidance materials were published: Guidelines on Principles of a System of Price and Quantity Statistics, 1977 Manual on Producers’ Price Indices for Industrial Goods,1979

4 History  Why a revision of the IIP publication? The previous UN publication on the IIP was published in 1950 Methods and approaches have changed over time (e.g. fixed weight vs. chain approaches, volume aggregation vs. deflation, etc.)

5 History  Why a revision of the IIP publication? Various related standards and international recommendations have been updated over time:  International Recommendations for Industrial Statistics 2008  System of National Accounts 2008  Producer Price Index Manual  Classifications (ISIC Rev.4, CPC ver.2) These changes need to be reflected in the updated IIP text

6 Publication structure  Part I includes a description of the international recommendations, covering scope, fundamental concepts, etc. It is encouraged that countries comply with the recommendations set out in Part I.  Part II includes international guidance to assist countries in implementing these recommendations It presents a set of methods (categorized as ‘preferred’, ‘alternative’ and ‘other’) and variables for each ISIC Rev. 4 class in scope of this publication for the compilation of an IIP, based on current country practices

7 Key issues/recommendations  1: Statistical units, classifications & business register Recommendations outlining - Statistical Units to use; classifications; use of business registers; and data sources (incl. administrative data sources).  2: Frequency Publication recommends monthly compilation of the IIP so that turning points in economic activity can be identified as early as possible

8 Key issues/recommendations  3: Scope of the IIP: Scope is defined to cover activities in sections B - E of ISIC Rev.4, i.e. Mining and quarrying, Manufacturing, Electricity, gas steam and air- conditioning supply, as well as water supply, sewerage, waste management and remediation activities  Section E contains new areas for inclusion in the IIP  This scope coincides with the scope of the International Recommendations for Industrial Statistics (IRIS) 2008, which includes the index numbers of industrial production in its list of recommended indicators

9 Key issues/recommendations  4: Index formula Laspeyres index is recommended  Preferred due to feasibility over Paasche or Fischer index Chain linked, rather than fixed base indices are recommended  5: Weights and updates Annual update of weights should be carried out to provide an up-to-date weighting structure for the index. Weights should ideally be National Accounts value added figures – adjustments necessary to make them timely available.

10 Key issues/recommendations  6: Calculation method Deflation should be used to obtain volume estimates from value data, rather than volume extrapolation method PPI is recommended as deflator Deflation should be done at lowest level, i.e. 4- digit industry level Volume aggregation still works for areas with limited number of products.

11 Key issues/recommendations  7. Variables to be used To approximate industrial production for the IIP, output measures (value or physical quantity of output) are preferred over input measures (labour or materials consumed)  E.g. relationship between labour and production value is affected by various factors, including quality, efficiency etc. The publication provides suggestions for preferred, alternate and other methods for the use of variables in the IIP calculation.  Suggestions are specific for each ISIC industry at 4-digit level

12 Key issues/recommendations  8: Data adjustments Adjustments should be made for quality changes  Either through the correction of PPI used in deflation, or  by adjusting input data when volume aggregation is used Data series should be produced as work day adjusted as well as seasonal adjusted series

13 Key issues/recommendations  9: Dissemination The publication outlines elements / requirements for the dissemination of IIP data General requirements for international reporting are set in the International Recommendations for Industrial Statistics (IRIS) 2008 UNSD data collection will continue at 2-digit ISIC level for annual and quarterly data, 1-digit ISIC level for monthly data  Currently for raw (unadjusted) data only  Will switch to ISIC Rev.4 for production of regional IIP

14 Major changes  Scope Enlarged definition of “industry”  Recommended calculation method Deflation vs. volume extrapolation  Frequency of weight updates Annual updates vs. 5-yearly updates Chain linking vs. fixed-weight approach  Other recommendations, such as on seasonal adjustment or dissemination issues reflect an update of previous recommendations as well

15 Two main approaches to calculate the IIP

16 Purpose of the IIP  Purpose: to reflect the volume developments in value added over time  Difficult: impossible to calculate value added at high frequency and with appropriate timeliness  Solution: to obtain the best approximation of short-term movements in value added

17 Goal  Measure volume changes over time The measurement should not reflect price changes in the measurement period

18 Options  1) Build a measurement that uses only volume changes at detailed level “Volume extrapolation”  2) Use a price deflator to remove the price component from an overall value measure, isolating the volume component “Deflation”

19 Recommended approach  The 1950 IIP manual relied on the volume extrapolation approach  The 2010 IIP manual recommends mostly the deflation method Recommendations depend on industry (see chapter 7)

20 What separates the two approaches?  Calculation method (formula)  Data requirements Data availability  Work load  Stability, ability to adapt

21 Volume extrapolation  concept : utilize the movements in volumes directly to calculate an IIP  suitable : volume variables  formula : IIP=Q 1 /Q 0 (at elementary/product level) Use weights to aggregate to higher levels

22 Volume extrapolation  Possible input data: Output variables  Physical quantity of output (at individual product Input variables  Labor input  Materials consumed  While input data are sometimes easier to obtain, they assume a fixed relationship between input and output

23 Volume extrapolation  Data requirements Data need to be available for a detailed set of products  Volume extrapolation starts at the product level, then aggregates through product groups and industries Products have to be representative for the respective industries fro which the IIP is compiled  Work load High due to need for detailed product data (collection and processing)

24 Volume extrapolation  Stability In some areas, shifting of production between products (or product groups) can negatively influence the data quality  Example: pharmaceuticals  Ability to adapt Difficult to account for quality changes

25 Deflation method  concept : isolate the volume component from value variables  suitable : value variables  formula : IIP=(Value 1 /Price index) / Value 0 =(∑P 1 Q 1 /Price Index) / ∑P 0 Q 0  At level where price index is available

26 Deflation method  Possible input data: Output variables:  Value of output  Value of output sold Needed only at more aggregated level than data for volume extrapolation

27 Deflation method  Data requirements Data need to be available only at a higher level of aggregation BUT: “Appropriate” deflator (price index) needs to be available at this level too Deflation should take place at lowest level possible  Typically: 4-digit ISIC level; could be product group level

28 Deflation method  Work load Reduced (less detailed data collection and processing) BUT: price index needs to be calculated  Responsibility shifts to another area  “Duplication” of work can be avoided

29 Deflation method  Stability Price movements are more stable than quantity movements in many areas Deflation provides a better tool (while investing same amount of work) to calculate IIP for areas with frequently/seasonally shifting product patterns  Ability to adapt Quality effects are accounted for in the deflator (price index)

30 Recommendation  The IRIIP 2010 recommends the deflation method as the preferred approach to calculation of the IIP  Exceptions are made by industry, e.g. if only a small set of products exist and if quality changes are not a major concern Chapter 7 of the publication provides recommendations by industry, including choice of variables

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