Alternative Sources of Price Data

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Presentation transcript:

Alternative Sources of Price Data Session II: Interim Technical Agenda Meeting of ICP Regional Coordinating Agencies Washington, D.C., USA October 30, 2015

Overview of the Pilot Overall objective: Study the feasibility of capturing granular high-frequency price data using modern ICT More specifically feasibility of… Covering a relevant and complete basket of goods and services for household consumption Achieving a representative set of national average prices through reliable sampling frames Collecting additional rural-specific price data

Pilot conducted in partnership with

Pilot specifications: General Pilot conducted in three countries BRAZIL (Latin America region) INDONESIA (Asia and Pacific region) NIGERIA (Africa region) 159 items covering household consumption Heading Number of items Food and non-alcoholic beverages 60 Alcohol beverages, tobacco and narcotics 5 Clothing and footwear 8 Housing, water, electricity, gas, and other fuels 11 Furnishing, household equipment and routine maintenance of the house 21 Health 7 Transport 24 Communication 2 Recreation and culture Education Restaurants and hotels Miscellaneous goods and services Total 159

Pilot specifications: BRAZIL # Larger district 1. Federal District 2. State of Amazonas 3. State of Bahia 4. State of Ceará 5. State of Goiás 6. State of Minas Gerais 7. State of Pará 8. State of Paraná 9. State of Pernambuco 10. State of Rio de Janeiro 11. State of Rio Grande do Sul 12. State of São Paulo To date data collected from 8,210 venues

Pilot specifications: INDONESIA # Larger district 1. Central Sulawesi 2. East Java 3. East Nusa Tenggara 4. North Sumatra 5. Special Capital Region of Jakarta 6. West Java 7. West Kalimantan 8. West Nusa Tenggara 9. West Sumatra To date data collected from 2,141 venues

Pilot specifications: NIGERIA # Larger district 1. Anambra 2. Edo 3. Enugu 4. Federal Capital Territory 5. Gombe 6. Kaduna 7. Kano 8. Kogi 9. Lagos 10. Nasarawa 11. Ogun State 12. Osun 13. Oyo 14. Rivers 15. Sokoto To date data collected from 4,108 venues

How does it work in practice (1) Premise’s network of contributors: Located in nearly 200 towns and cities spanning 30 countries

How does it work in practice (2) 1 2 3 4

How we see it (1)

How we see it (2)

What else we see per observation…. # Item 1. Price (observed and normalized) 10. GPS accuracy 2. Reporting currency 11. L1/L2/L3 designation 3. Volume/weight (observed and normalized) 12. Urban/Rural 4. Quantity (observed and normalized) 13. Date and time of the observation 5. Brand and model 14. Venue information (type and name) 6. Packaged/unpackaged 15. User ID (anonymized) 7. Fresh/Frozen 16. Image/picture affiliation (link) 8. Brand 17. Scope affiliation (link) 9. Longitude and latitude 18. Exclusion tag (for excluded obs.)

Additional information: Histograms

Additional information: Package size analysis

Refining the pilot approach (1)

Refining the pilot approach (2)

Next steps Operational approach Country coverage Improving data collection procedures and, respectively, data quality Country coverage Studying feasibility of extending country coverage

Questions, comments or suggestions?