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The use of registers in sampling of outlets and routines for drawing and inclusion of new outlets

This workshop in Istanbul (10-13 October 2011) discusses the use of registers for sampling outlets and routines for drawing and including new outlets in the Consumer Price Index (CPI). It covers data sources, such as questionnaires, price collectors, scanner barcode data, household interviews, websites, and municipal-state reporting. The workshop also focuses on the use of business and enterprise registers, population registers, and ground property and building registers for sampling outlets.

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The use of registers in sampling of outlets and routines for drawing and inclusion of new outlets

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  1. The use of registers in sampling of outlets and routines for drawing and inclusion of new outlets CPI workshop Istanbul, 10 – 13 October 2011

  2. Data sources in CPI • Around 2200 outlets • Questionnaire – around 35 000 price obs. • Price collector for introduction • Scanner barcode data • Around 300 000 obs. monthly • Rents • 2500 households, monthly by telephone interview • Central collection • Websites - monthly • Municipal-State-Reporting • 431 Municipalities, twice a year

  3. The use of register • Business- and enterprise register • Sample of outlets • Sample of supermarkets (food and everyday commodities) • ”Central Population Register” and ”Ground Property, Address and Building Register” • Sample of tenants

  4. Business register • Population: • all industries according to NACE standards (SIC2007) • all establishments with active operations in Norway the previous year • Updated first of January in the statistical year

  5. Business register, cont. • Out of date information caused by lags in the registration • Drop outs registered some time after they occur • Final figures for drop-outs in year t is first available when publishing the figures for year t+2 • Some outlets are not correct registered regarding to industrial codes/economic sectors

  6. Sampling of outlets • Business register is reduced to specific industrial codes (nace) • Norway divided into 8 geographical regions • Sampling frame: • all establishments defined as the industries 45, 47, 55, 56, 77, 95 and 96 within each geographical regions • Probability sampling – turnover figures • The probability increase with increasing turnover • Turnover is defined as the sum of remuneration of sale to customers • Rotation of outlets • 1/6 of the sample is rotated each year

  7. Sampling of outlets, cont. • All new outlets receive a letter with information about the CPI and the requirement • The possibility to file a complaint • All new outlets get a visit by a price collector • The gross sample is reduced to a net sample by: • Removing outlets that are closed down • Removing outlets that are registered in wrong industrial code • Removing outlets that do not have the relevant range of goods

  8. Sample of supermarkets • Purpose: sample of supermarkets – food index • Sampling frame: • All establishments defined by industries in 47.11 and 47.12 (nace) • companies belonging to the major supermarket chains provided that they can deliver scanner bear data • The sample is drawn after proportional allocation by turnover stratified by chain profile • A chain profile with high turnover will have more supermarkets in the sample • Around 180 supermarkets makes the sample

  9. ”Central Population Register” and ”Ground Property, Address and Building Register” • Purpose: Sample of tenants • Registers of rental units and of tenants are incomplete • Potential population of rental units/tenants is established through connecting different registers • Remove owner-occupiers/addresses • If owner of the house is not living at the address – a potential rental unit

  10. Sample of tenants • Random selection of persons/addresses from the population of potential rental units. • Gross sample in is almost 20 000 persons/addresses • Overrepresentation of Oslo residents • The size of the net sample around 7000 tenants

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