Consumer Price Index
Bureau of Labor Statistics > Consumer Price Index > Methods > Quality Adjustment

Quality Adjustment in the CPI

The CPI is calculated using prices for a fixed basket of goods and services through time. While the basket is periodically revised to reflect changing consumer expenditures, some items being priced in the sample come and go from the marketplace, making collection of these prices from month to month difficult. When an item is no longer available in the marketplace, a similar replacement item is selected. Often there are no similar items from which to choose, and as a result, a less comparable item is selected, potentially introducing quality change and an associated price differential into the index.

The hedonic quality adjustment method removes any price differential attributed to a change in quality by adding or subtracting the estimated value of that change from the price of the old item. Hedonic quality adjustments for rent and owners equivalent rent are used primarily to adjust for the age of a rental unit, and for utility adjustments.

More information on hedonic quality adjustment may be found on our page containing responses to frequently asked questions.

CPI Item Categories that Utilize Hedonic Quality Adjustments:

  • Men's Suits, Sport Coats and Outerwear
  • Men's Shirts and Sweaters
  • Men's Pants and Shorts
  • Boys' Apparel
  • Women's Outerwear
  • Women's Dresses
  • Women's Suits and Separates
  • Girls' Apparel
  • Men's Footwear
  • Boys' and Girls' Footwear
  • Women's Footwear
  • Major Appliances
  • Televisions
  • Other Video Equipment
  • Photographic Equipment and Supplies
  • Rent of Primary Residence
  • Owners' Equivalent Rent of Primary Residence
  • Smartphones
  • Land-line Telephone Services
  • Internet Services
  • Cable and Satellite Television Services

We also quality adjust other items using other types of models. For example, wireless telephone services uses a hedonic-like technique to adjust for changes in the amount of included high speed data.

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Last Modified Date: January 15, 2019