4 datasets found
  1. w

    Consumer Price Index - All Urban Consumers (Chained CPI)

    • data.wu.ac.at
    api, txt
    Updated Apr 11, 2018
    + more versions
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    Department of Labor (2018). Consumer Price Index - All Urban Consumers (Chained CPI) [Dataset]. https://data.wu.ac.at/schema/data_gov/NTVkZDJiNWYtNzNmYi00ZmIxLTg1Y2UtY2M2NmMxYzdlY2Jm
    Explore at:
    txt, apiAvailable download formats
    Dataset updated
    Apr 11, 2018
    Dataset provided by
    Department of Labor
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Chained Consumer Price Index for All Urban Consumers, was introduced with the release of July data in August 2002. Designated the C-CPI-U, the index supplements the existing Consumer Price Indexes already produced by the BLS: the CPI for All Urban Consumers (CPI-U) and the CPI for Urban Wage Earners and Clerical Workers (CPI-W). The C-CPI-U employs a Tornqvist formula and utilizes expenditure data in adjacent time periods in order to reflect the effect of any substitution that consumers make across item categories in response to changes in relative prices. The new measure is designed to be a closer approximation to a "cost-of-living" index than the present measures. The use of expenditure data for both a base period and the current period in order to average price change across item categories distinguishes the C-CPI-U from the existing CPI measures, which use only a single expenditure base period to compute the price change over time.

  2. f

    Coefficients of the regression equation (Robust/ Huber) of the average price...

    • plos.figshare.com
    xls
    Updated May 7, 2025
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    Zhixiu Du; Jinzhu Du (2025). Coefficients of the regression equation (Robust/ Huber) of the average price of mobile phones and its characteristic variables in the 31 st and 32 nd weeks of 2022. [Dataset]. http://doi.org/10.1371/journal.pone.0322465.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 7, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Zhixiu Du; Jinzhu Du
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Coefficients of the regression equation (Robust/ Huber) of the average price of mobile phones and its characteristic variables in the 31 st and 32 nd weeks of 2022.

  3. f

    The significance of the regression equation between the average price of...

    • plos.figshare.com
    xls
    Updated May 7, 2025
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    Zhixiu Du; Jinzhu Du (2025). The significance of the regression equation between the average price of mobile phones and its characteristic variables in 57 weeks from August 2022 to September 2023. [Dataset]. http://doi.org/10.1371/journal.pone.0322465.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 7, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Zhixiu Du; Jinzhu Du
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The significance of the regression equation between the average price of mobile phones and its characteristic variables in 57 weeks from August 2022 to September 2023.

  4. f

    From August 2022 to September 2023, the average price of mobile phones for...

    • plos.figshare.com
    xls
    Updated May 7, 2025
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    Zhixiu Du; Jinzhu Du (2025). From August 2022 to September 2023, the average price of mobile phones for 57 weeks and its characteristic variable regression equation goodness of fit. [Dataset]. http://doi.org/10.1371/journal.pone.0322465.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 7, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Zhixiu Du; Jinzhu Du
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    From August 2022 to September 2023, the average price of mobile phones for 57 weeks and its characteristic variable regression equation goodness of fit.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Department of Labor (2018). Consumer Price Index - All Urban Consumers (Chained CPI) [Dataset]. https://data.wu.ac.at/schema/data_gov/NTVkZDJiNWYtNzNmYi00ZmIxLTg1Y2UtY2M2NmMxYzdlY2Jm

Consumer Price Index - All Urban Consumers (Chained CPI)

Explore at:
txt, apiAvailable download formats
Dataset updated
Apr 11, 2018
Dataset provided by
Department of Labor
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

The Chained Consumer Price Index for All Urban Consumers, was introduced with the release of July data in August 2002. Designated the C-CPI-U, the index supplements the existing Consumer Price Indexes already produced by the BLS: the CPI for All Urban Consumers (CPI-U) and the CPI for Urban Wage Earners and Clerical Workers (CPI-W). The C-CPI-U employs a Tornqvist formula and utilizes expenditure data in adjacent time periods in order to reflect the effect of any substitution that consumers make across item categories in response to changes in relative prices. The new measure is designed to be a closer approximation to a "cost-of-living" index than the present measures. The use of expenditure data for both a base period and the current period in order to average price change across item categories distinguishes the C-CPI-U from the existing CPI measures, which use only a single expenditure base period to compute the price change over time.

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