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www.unido.org/statistics International Workshop on Industrial Statistics Dalian, China June 2010 Shyam Upadhyaya UNIDO Statistical units and data items for monthly/quarterly survey
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www.unido.org/statistics 13/08/2015 2 Outline Data sources for IIP compilation Statistical units for data collection and compilation of IIP Selection of statistical units ; sampling approach commodity selection Data items of monthly/quarterly survey
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www.unido.org/statistics Infra-annual ( more frequent than annual ) inquiry IRIS 2008 has mentioned the provision of infra-annual inquiry for short-term indicators. It can be monthly or quarterly survey depending on the technical capacity of NSOs Monthly/quarterly survey serves as the primary data source of IIP compilation The survey method varies from country to country, in developed statistical system data might be available from administrative reports, in other countries data are directly collected from statistical units through mail or web-based survey. Many developing countries have mixed system of mail survey and collection of forms from the office of statistical units 13/08/2015 3
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www.unido.org/statistics Statistical unit for industrial survey Both IRIS 2008 and IIP 2010 have recommended establishment as the statistical unit, because it is the most detailed unit for which the range of data required is normally available Both recommendations mention a number of other units; but for data collection purpose reporting or collecting unit and observation unit might be relevant In case of multi-establishment enterprises data might be collected from the Head office, but reference or observation unit is still the establishment - a statistical unit. 13/08/2015 4
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www.unido.org/statistics Coverage of infra-annual inquiries As mentioned in IRIS 2008, coverage of these surveys are limited as they intend to produce short-term production related statistics IIP-1950 had specified that selected establishments should represent at least 2/3 of total value added; similar guidelines exist in Eurostat and other national practices NSOs may decide the appropriate coverage required by the level of estimates; such as whether indices are presented at 3 or 4-digit level of ISIC, regional indices etc. 13/08/2015 5
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www.unido.org/statistics Selection method Selection of establishments for monthly/quarterly survey is normally made on sampling basis A typical sampling plan involves cut-off sampling which results in three sampling groups: Other variables for size class, such as value added, may be preferred. Selection method for Take some group is normally PPS. 13/08/2015 6
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www.unido.org/statistics Purposive sampling Purposive sampling is widely used in many countries, especially in smaller economies In such case there are only take all and take none groups. Establishments are arranged in the descending order of value added within each industry group at 4-digit level of ISIC and all large establishments, say with cumulative share of more than 70% value added, are selected This method ignores the contribution of smaller establishments to industrial growth; but it is easy to design and to implement the survey plan 13/08/2015 7
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www.unido.org/statistics Commodity selection If IIP is based on commodity weighting system, it would be necessary to select the commodity first using either of methods suggested and select establishments for these commodities thereafter In case of industry based weighting system commodities contributing more than 70% of output in each sample establishments are selected Industry based weighting and sampling scheme has clear advantages over commodity weighting system, because commodities cannot accurately reflect the relative importance in industrial production 13/08/2015 8
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www.unido.org/statistics Data items required for IIP Selection of data items is determined by variables to be used in IIP compilation Theoretically, IIP indicates the short-term movement of value Added, which depends on the change of output and input: Expresses in Laspeyres index it would be: However, we can assume the stable value added output ratio for a short span of time, so to measure the growth by output 13/08/2015 9
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www.unido.org/statistics Data items required for IIP Three different measures are recommended for measurement of output change Volume extrapolation (Production quantity change) Deflator (Production value change deflated by price change) Number of hours worked (Labour input change) Data items: ID number of statistical unit Identification: (name address, location, activity code etc Reference period Number of employees Number of hours worked Value of sale from own production Quantity and value of selected product Pricing item and price per item 13/08/2015 10
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www.unido.org/statistics Data items structured in a sample form Product/ product line CPC code Unit Production capacity Actual production RCU in % (optional) Quantity Value Office use 13/08/2015 11 1. Identification 2. Value of total sale________________ 3. Value and quantity of production: Product CPC code Pricing item/ Unit Price per pricing item 4. Price at the end of month/quarter: 5. Number of employees at the end of month/quarter 6. Number of hours worked during the month/quarter
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www.unido.org/statistics General questions related to monthly/ quarterly survey Data are produced to measure the growth Not level, therefore, its coverage in terms of statistical units and data items are limited Data must be collected, edited, compiled and disseminated in a very short period; thus the questionnaire should not be overloaded For quality control, the part of the questionnaire can be pre- filled so that respondent can verify the figures reported earlier 13/08/2015 12
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