IDEAS home Printed from https://ideas.repec.org/p/eoe/escoed/escoe-dp-2023-16.html

Measuring the Value of Free Digital Goods

Author

Listed:
  • Poquiz, John Lourenze

Abstract

The goal of this research is to estimate and examine the value derived by households from the utilization of free digital goods. For this exercise, we estimate value from the final consumption of three forms of free digital goods: videoconferencing, personal email, and online news. As our measurement strategy, we employ the prices of “premium” or paid internet goods as a proxy for the value from their free counterparts. We also use hedonic regression in order to extract the value of the ‘free component’ of these goods and untangle them from the value of the premium exclusive components. Our estimates show that in 2020, the aggregate gross value derived by households from the consumption of the three digital services was between £7.0 billion and £25.4 billion, which is 1.1 to 2 percent of household final consumption expenditures. We also observe that the value derived by households from consuming these goods is growing much faster than HFCE. Our estimates show that in 2020, the initial year of the COVID pandemic, real household final consumption decline would have been 0.07 to 0.13 percentage points slower had the value of the three digital goods been incorporated in the estimates.

Suggested Citation

  • Poquiz, John Lourenze, 2023. "Measuring the Value of Free Digital Goods," Discussion Papers escoe-dp-2023-16, Economic Statistics Centre of Excellence.
  • Handle: RePEc:eoe:escoed:escoe-dp-2023-16
    as

    Download full text from publisher

    File URL: https://www.repository-escoe.com/id/eprint/27/1/ESCoE%20DP%202023-16%20V2.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • D60 - Microeconomics - - Welfare Economics - - - General
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eoe:escoed:escoe-dp-2023-16. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Communications Manager (email available below). General contact details of provider: https://edirc.repec.org/data/escoeuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.