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Measuring Welfare with Massive Online Choice Experiments: A Brief Introduction

Author

Listed:
  • Erik Brynjolfsson
  • Felix Eggers
  • Avinash Gannamaneni

Abstract

GDP is a measure of production, and yet it is widely used as a proxy for well-being. It is particularly ill-suited for assessing the contributions of digital goods which are free to consumers and thus excluded from GDP measures. This underscores the need to develop new measures of well-being which can assess not only the contributions of digital goods but also welfare more generally. In Brynjolfsson, Eggers, and Gannamaneni (2017), we propose a new way of measuring consumer welfare using massive online choice experiments. This brief paper motivates the need for such an approach and introduces the method.

Suggested Citation

  • Erik Brynjolfsson & Felix Eggers & Avinash Gannamaneni, 2018. "Measuring Welfare with Massive Online Choice Experiments: A Brief Introduction," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 473-476, May.
    • Handle: RePEc:aea:apandp:v:108:y:2018:p:473-76
    Note: DOI: 10.1257/pandp.20181035
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    Citations

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    Cited by:

    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    2. Harald Edquist & Peter Goodridge & Jonathan Haskel, 2022. "The economic impact of streaming beyond GDP," Applied Economics Letters, Taylor & Francis Journals, vol. 29(5), pages 403-408, March.
    3. Sobolewski, Maciej, 2021. "Measuring consumer well-being from using free-of-charge digital services. The case of navigation apps," Information Economics and Policy, Elsevier, vol. 56(C).
    4. Athey, Susan & Imbens, Guido W. & Bayati, Mohsen, 2019. "Optimal Experimental Design for Staggered Rollouts," Research Papers 3837, Stanford University, Graduate School of Business.
    5. Niebel, Thomas, 2019. "Wachstumsperspektiven der digitalen Transformation: Wird der ökonomische Mehrwert der Digitalisierung in der Volkswirtschaftlichen Gesamtrechnung angemessen abgebildet?," Working Paper Forschungsförderung 142, Hans-Böckler-Stiftung, Düsseldorf.
    6. Alexandre Bourgeois, 2020. "Free Services from the Digital Economy: Do We Need to Measure Their Value and How?," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 517-518-5, pages 157-172.
    7. Skare, Marinko & Porada-Rochoń, Małgorzata, 2022. "Technology and social equality in the United States," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    8. Robert N. Mefford, 2023. "The Covid-19 Pandemic and the Productivity Paradox," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 7(1), pages 11-18, November.
    9. 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.
    10. Diane Coyle & Leonard Nakamura, 2022. "Time Use, Productivity, and Household-centric Measurement of Welfare in the Digital Economy," International Productivity Monitor, Centre for the Study of Living Standards, vol. 42, pages 165-186, Spring.
    11. David S. Evans, 2019. "Attention Platforms, the Value of Content, and Public Policy," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(4), pages 775-792, June.

    More about this item

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production

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