{
  "title": "Peru: Technical Assistance Report-Consumer Price Index Mission",
  "publication": "IMF Staff Country Reports, October 31, 2022",
  "sourceUrl": "https://www.imf.org/en/publications/cr/issues/2022/10/31/peru-technical-assistance-report-consumer-price-index-mission-525287",
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  "summary": "This technical assistance mission collaborated with the National Institute of Statistics and Informatics in Peru to incorporate big data methods into compilation of the consumer price index (CPI).",
  "sections": [
    {
      "heading": "Mission objective and scope",
      "content": "- Collaborated with the National Institute of Statistics and Informatics in Peru to incorporate big data methods into compilation of the consumer price index (CPI).\n- Data sources incorporated:\n  - Prices ingested from the websites of large retailers.\n  - Data recorded through in-store checkout scanners."
    },
    {
      "heading": "Key findings and substantive points",
      "content": "- The mission focused on integrating big data into CPI compilation processes to enhance data collection and processing for price statistics.\n- Emphasis on two principal non-traditional data sources: web-scraped retailer prices and scanner (point-of-sale) data."
    },
    {
      "heading": "Subject areas and keywords",
      "content": "- Subject: Big data, Consumer price indexes, Data collection, Data processing, Economic and financial statistics, International organization, Monetary policy, National accounts, Prices, Technology\n- Keywords: Big data, consumer price index mission, Consumer price indexes, Data collection, Data processing, data provider, scanner data, staff team of the International Monetary Fund, World Bank staff\n\n---\n\n Content in this bundle\n\n- 1perea2022005 - Section 1\n  - 1perea2022005 - Section 1 (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - 1perea2022005 - Section 1 (PDF){rel=\"external\" type=\"application/pdf\"}"
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    "Published: October 31, 2022",
    "Series: IMF Staff Country Reports",
    "Volume: 2022",
    "Issue: 332",
    "Pages: 13",
    "DOI: https://doi.org/10.5089/9798400224836.002",
    "Collaborated with the National Institute of Statistics and Informatics in Peru to incorporate big data methods into compilation of the consumer price index (CPI).",
    "Data sources incorporated:",
    "The mission focused on integrating big data into CPI compilation processes to enhance data collection and processing for price statistics.",
    "Emphasis on two principal non-traditional data sources: web-scraped retailer prices and scanner (point-of-sale) data.",
    "Subject: Big data, Consumer price indexes, Data collection, Data processing, Economic and financial statistics, International organization, Monetary policy, National accounts, Prices, Technology",
    "Keywords: Big data, consumer price index mission, Consumer price indexes, Data collection, Data processing, data provider, scanner data, staff team of the International Monetary Fund, World Bank staff",
    "**1perea2022005 - Section 1**"
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