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Free goods and economic welfare

Author

Listed:
  • Diane Coyle
  • David Nguyen

Abstract

This paper uses surveys representative of the UK online population to assess the welfare value of online and offline goods with a zero price. Through pilot studies and two surveys conducted before and during the Covid19 lockdown, we ascertain consumers' willingness to accept the loss of a range of 'free' online and offline goods, as well as some substitutes with a positive market price. The average value assigned to free goods was generally high, particularly when benchmarked against revenue figures for the services. The ratio of stated valuations to average revenues is higher for free than for non-zero price goods. We also present demand curves and explore the distributional effect of free goods as between different demographic groups. The surveys suggest that absolute valuations are not tightly anchored, but indicate clear rankings among goods. The natural experiment of the Covid19 lockdown brought about changes in valuations that were significant for some goods and have plausible sign and scale. We also discuss the limitations of the contingent valuation approach to estimate the aggregate effect of such goods on economic welfare, in particular questions of distribution, the meaning of the gap between willingness to accept and willingness to pay, and the absence of an adding up constraint for aggregate measurement.

Suggested Citation

  • Diane Coyle & David Nguyen, 2020. "Free goods and economic welfare," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-18, Economic Statistics Centre of Excellence (ESCoE).
  • Handle: RePEc:nsr:escoed:escoe-dp-2020-18
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    References listed on IDEAS

    as
    1. Brynjolfsson, Erik & Collis, Avinash & Diewert, W. Erwin & Eggers, Felix & Fox, Kevin J., 2019. "GDP-B: Accounting for the Value of New and Free Goods in the Digital Economy," OSF Preprints sptfu, Center for Open Science.
    2. Diane Coyle & David Nguyen, 2020. "Valuing Goods Online and Offline: the Impact of Covid-19," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-10, Economic Statistics Centre of Excellence (ESCoE).
    3. Daniel McFadden & Kenneth Train (ed.), 2017. "Contingent Valuation of Environmental Goods," Books, Edward Elgar Publishing, number 17527.
    4. Erik Brynjolfsson & Avinash Collis & W. Erwin Diewert & Felix Eggers & Kevin J. Fox, 2020. "Measuring the Impact of Free Goods on Real Household Consumption," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 25-30, May.
    5. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    6. Diane Coyle, 2019. "Do‐it‐yourself Digital: the Production Boundary, the Productivity Puzzle and Economic Welfare," Economica, London School of Economics and Political Science, vol. 86(344), pages 750-774, October.
    7. Andrew Aitken & Martin Weale, 2020. "A Democratic Measure of Household Income Growth: Theory and Application to the United Kingdom," Economica, London School of Economics and Political Science, vol. 87(347), pages 589-610, July.
    8. Richard Heys & Josh Martin & Walter Mkandawire, 2019. "GDP and Welfare: A spectrum of opportunity," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-16, Economic Statistics Centre of Excellence (ESCoE).
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Diane Coyle & Annabel Manley, 2021. "Potential social value from data: an application of discrete choice analysis," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-17, Economic Statistics Centre of Excellence (ESCoE).

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    More about this item

    Keywords

    contingent valuation; digital economic; welfare; free goods;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D60 - Microeconomics - - Welfare Economics - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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