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ICP Price Collection

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Type: street stall, small shop, department store. Outlet choice more important for ICP ... Pricing in department stores easier. Risk bias if high priced goods ... – PowerPoint PPT presentation

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Title: ICP Price Collection


1
  • ICP Price Collection
  • Regional Course on Price Statistics and ICP
  • Jakarta, Indonesia
  • 5-9 June 2006
  • TIMOTHY LOStatistician, International Comparison
    ProgramAsian Development Bank

2
Operational Stage of the ICP
  • The largest coordinated statistical survey
    undertaken globally
  • Reference period is 2005 covering all six regions
    for 150 countries
  • Involves price survey of the regional product
    list
  • ICP surveys are the primary responsibility of the
    NSOs
  • Countries are encouraged to price all 651
    products for household consumption

3
Scope defining the target price
  • Target or ideal price
  • Arithmetic average price of all transactions for
    the
  • whole country
  • whole year
  • Average annual national price used to link to
    official GDP values

4
Scope defining the target price
  • Necessary to sample
  • Products what products are purchased -gt product
    list
  • Outlets where the purchases are made -gt outlet
    sample
  • Transactions when the purchases are made -gt time
    sample

5
Scope of Surveys
  • For regional comparability the scope of price
    surveys must be the same in every country
  • This differs from CPI scope which may be narrower
    where CPI basket of goods will vary from country
    to country
  • ICP price survey is different from the CPI as
    each country does not select its own individual
    basket of items to price

6
ICP Requirements
  • Product selection fixed by the regional product
    list
  • countries do not select products for pricing
  • A sample of places and times is needed
  • for average annual national price of items is
    required

7
ICP Requirements
  • Scope of the survey must be the same in every
    country
  • needed for international comparability
  • Must use existing infrastructure as far as
    possible
  • too costly to duplicate CPI infrastructure

8
Sampling Errors
  • Average annual national price is an estimate.
    Therefore subject to
  • sampling error
  • non-sampling error
  • Product transaction samples are purposive.
    Therefore
  • not possible to calculate sampling error

9
Sampling Errors
  • Outlet sample may be selected based on
    probability proportional to size (PPS)
  • if it is, then it is possible to calculate
    sampling error
  • Product PPPs are the result of two estimated
    averages
  • may calculate sampling error of the ratio

10
Probability Sampling
  • Random or probability sampling is preferred
  • unbiased
  • efficient because they have minimum variance
  • Prior information needed to
  • allow stratification
  • selection using probability proportional to size
  • PPS measure (for ICP purposes)
  • ideally want product sales volumes
  • in practice may use total sales or staff
    numbers

11
Purposive Sampling
  • Subjective selection by person or agency
  • it is not common to use random sampling
  • extensively used in CPI sampling for product
    transaction samples
  • used for ICP product and transaction samples
  • Random or probability sampling is preferred,
    however, Purposive sampling used when
  • information not available for random sampling
  • cost of random sampling is too high

12
Product Sample
  • Regional ICP product list provides the frame
  • Country lists provide national sample
  • includes representative available items
  • excludes not available items
  • try to avoid changes after survey starts
    (costs/data quality)
  • includes items not included in CPI

13
Outlet Sample
  • Asia regional circumstances vary enormously
  • Geographically
  • City states/Single state countries/Multi-state
    countries
  • Existing CPI infrastructure statistical systems
  • single national systems/separate provincial
    systems
  • highly developed systems/simple limited-scope
    systems

14
Outlet Sample
  • Must include both location type
  • Location urban/rural provinces
  • Type street stall, small shop, department store
  • Outlet choice more important for ICP
  • Price levels differ by outlet type cause ICP
    bias
  • CPI more robust only needs price movements
  • Avoid price collectors taking easy options
  • Pricing in department stores easier
  • Risk bias if high priced goods easier to measure

15
Outlet Sample
  • Outlet survey designs should reflect individual
    country circumstances
  • Remember CPI design may not be adequate

16
Informal Markets
  • Sampling frames may exclude informal outlets
  • e.g. Street stalls itinerant sellers
  • Weekly markets may be very important account
    for major part of HH purchases
  • Informal markets may require location sample
  • Price collectors then select specific sellers
  • Bargaining no fixed prices
  • Special care needed by price collectors
  • With such markets there is risk of serious bias

17
CPI Outlet Frame
18
Multiple CPI Outlet Frames
  • Multi-state countries may have many independent
    CPIs (e.g. India, China)
  • Design of a single national ICP sample will need
    input from sampling experts
  • A purpose-built sample needed
  • Outlets should be selected on PPS basis
  • Stratified sample may be appropriate
  • Use expenditure weights for PPS, if available

19
Alternative Frames
  • Alternative frames needed if
  • CPI frame not available or supplementing
    alternative frames are needed
  • National level sampling frames
  • May provide urban/rural, area and other broad
    level weights
  • Country frames may not cover outlets
  • Local level outlet sampling frames
  • Usually are available

20
Alternative Frames
  • Issues
  • Is it available for statistical purposes?
  • Is it available in the required time-frame?
  • Is it reliable?
  • Is it current?
  • Does it have the required coverage?
  • Does it include size indicators?

21
Sources of National Frames
  • Retail trade census
  • Survey of retail sales
  • Value Added Tax (VAT) records
  • Business registers
  • Telephone directories (Yellow Pages)

22
Sources of Local Frames
  • Local government records
  • Property tax
  • Other regulatory systems
  • Local chambers of commerce
  • Employer organisations

23
 Retail Trade Survey
  • Frames may exist at national and local levels
  • Useful for PPS sampling
  • Usually maintained by statistics office

24
Value Added Tax (VAT)
  • VAT administrative records provide detailed lists
    of businesses
  • up to date
  • not be available for statistical purposes
  • support PPS sampling (provide size details)
  • exclude some sectors such as food
  • exclude informal sector businesses
  • If available, care needed with exclusions
  • requires supplementary sources

25
Business Registers
  • Maintained for
  • Statistical purposes
  • Administrative purposes
  • May contain retail outlet locations/addresses
  • May include size measures
  • sales volume
  • number of employees
  • Useful for PPS sampling

26
Telephone/Business Directories
  • Yellow Pages and similar directories
  • Exclude size measures
  • May include detailed lists of businesses although
    might note be comprehensive
  • PPS not possible
  • Simple random sampling can be used

27
Time Sample
  • Aim at average prices for the whole year
  • Need quantity weighted transaction price
  • Choices Monthly/Quarterly/Annual
  • Frequency determined by variability
  • Type of charge annual, seasonal etc.

28
Price Collections A Practical Approach
  • Procedures
  • The finalised regional product list of 651
    product items are provided by the RO to the ICP
    national coordinator
  • Each country then identifies the items from the
    list on whether they are representative,
    available or not available
  • To ensure comparability, items are reviewed
    carefully in terms of the regional product
    specifications (PS)

29
Price Collections A Practical Approach
  • Regional Product List
  • Contains a comparable and representative regional
    basket of goods
  • Minor differences even if the product
    specifications are clearly specified

30
Price Collections A Practical Approach
  • Example Rice
  • Product Specification 5 Kg pre-packaged bag of
    Jasmine rice with low share of broken rice
  • Price collected by Country A 1Kg pre-packaged
    bag of short grain rice with high share of broken
    rice
  • It is clear that these two product items possess
    different characteristics and must not be
    compared as the same item

31
ICP Requirements
  • Provision of annual average national prices
    corresponding to the product list for the
    compilation of PPPs
  • Preparation of a suitable sample frame covering
    region, province, city, outlets and urban/rural
    locations to compute a national price
  • Identification of representative and available
    items by conducting pilot surveys in advance of
    the reference year
  • Installation of a fully functional ICP Tool Pack
  • Conduct of Tool Pack Training for participating
    countries

32
Frequency of Data Collection
  • Inflation and Frequency of Data Collection
  • Inflation affects how often price collections
    should be conducted
  • High inflation products such as food prices must
    be collected more frequently.
  • Low inflation products such as household durables
    price collection can be conducted quarterly or
    semi-annually

33
Frequency of Data Collection
  • Fluctuation of the prices

34
Frequency of Data Collection
  • Countries with Reliable CPI and Low Inflation
  • Countries with reliable CPI and low inflation
    semi-annual collections would be sufficient
  • Average annual national price can be extrapolated
    relevant sub-indices from CPI

35
Data Submission
  • Deadline and timetable on submitting ICP price
    survey data is set by regional coordinator in
    agreement with all countries
  • The national coordinator sets the country
    timetable for submission in different collection
    zones to meet regional deadline

36
Data Validation
  • Intra-country data validation by RO is conducted
    each time a country submits the national averages
    and individual price data
  • Inter-country validation are done once
    submissions from at least four countries have
    been received
  • Data review workshops (DRW) are conducted each
    quarter by RO to validate data submission from
    all participating countries

37
  • Thank You!
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