IDEAS home Printed from https://ideas.repec.org/p/ubc/pmicro/erwin_diewert-2017-12.html
   My bibliography  Save this paper

The Digital Economy, New Products and Consumer Welfare

Author

Listed:
  • Diewert, Erwin
  • FOX, Kevin J. Fox
  • SCHREYER, Paul

Abstract

Benefits of the Digital Economy are evident in everyday life, but there are significant concerns that these benefits may not be appropriately reflected in official statistics. Statistical agencies are typically unable to measure the benefits that result from introduction of such new goods and services. The measurement of the net benefits of new and disappearing products depends on what type of index the statistical agency is using to deflate final demand aggregates. We examine this measurement problem when the agency uses any standard price index formula for its deflation of the value aggregate, such as GDP. An Appendix applies the methodology to the problem of measuring the effects of product substitutions for disappearing items.

Suggested Citation

  • Diewert, Erwin & FOX, Kevin J. Fox & SCHREYER, Paul, 2017. "The Digital Economy, New Products and Consumer Welfare," Microeconomics.ca working papers erwin_diewert-2017-12, Vancouver School of Economics, revised 14 Dec 2017.
  • Handle: RePEc:ubc:pmicro:erwin_diewert-2017-12
    as

    Download full text from publisher

    File URL: https://econ2017.sites.olt.ubc.ca/files/2017/12/pdf_paper_erwin-diewert-17-09DigitalEconomy-1.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mark Bils, 2009. "Do Higher Prices for New Goods Reflect Quality Growth or Inflation?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 637-675.
    2. Philippe Aghion & Antonin Bergeaud & Timo Boppart & Peter J. Klenow & Huiyu Li, 2019. "Missing Growth from Creative Destruction," American Economic Review, American Economic Association, vol. 109(8), pages 2795-2822, August.
    3. W. Erwin Diewert & Robert C. Feenstra, 2021. "Estimating the Benefits of New Products," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 437-473, National Bureau of Economic Research, Inc.
    4. Chad Syverson, 2017. "Challenges to Mismeasurement Explanations for the US Productivity Slowdown," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 165-186, Spring.
    5. repec:bla:jindec:v:50:y:2002:i:3:p:237-63 is not listed on IDEAS
    6. Feenstra, Robert C, 1994. "New Product Varieties and the Measurement of International Prices," American Economic Review, American Economic Association, vol. 84(1), pages 157-177, March.
    7. Jerry A. Hausman, 1996. "Valuation of New Goods under Perfect and Imperfect Competition," NBER Chapters, in: The Economics of New Goods, pages 207-248, National Bureau of Economic Research, Inc.
    8. Erik Brynjolfsson & Avinash Collis & Felix Eggers, 2019. "Using massive online choice experiments to measure changes in well-being," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(15), pages 7250-7255, April.
    9. Austan D. Goolsbee & Peter J. Klenow, 2018. "Internet Rising, Prices Falling: Measuring Inflation in a World of E-Commerce," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 488-492, May.
    10. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    11. Jerry A Hausman & Gregory K Leonard, 2002. "The Competitive Effects of a New Product Introduction: A Case Study," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 237-263, September.
    12. Timothy F. Bresnahan & Robert J. Gordon, 1996. "The Economics of New Goods," NBER Books, National Bureau of Economic Research, Inc, number bres96-1.
    13. David M. Byrne & John G. Fernald & Marshall B. Reinsdorf, 2016. "Does the United States Have a Productivity Slowdown or a Measurement Problem?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 109-182.
    14. Jan de Haan & Frances Krsinich, 2014. "Scanner Data and the Treatment of Quality Change in Nonrevisable Price Indexes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 341-358, July.
    15. Nadim Ahmad & Jennifer Ribarsky & Marshall Reinsdorf, 2017. "Can potential mismeasurement of the digital economy explain the post-crisis slowdown in GDP and productivity growth?," OECD Statistics Working Papers 2017/9, OECD Publishing.
    16. Hausman, Jerry, 1999. "Cellular Telephone, New Products, and the CPI," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(2), pages 188-194, April.
    17. de Haan, Jan & van der Grient, Heymerik A., 2011. "Eliminating chain drift in price indexes based on scanner data," Journal of Econometrics, Elsevier, vol. 161(1), pages 36-46, March.
    18. Martin Feldstein, 2017. "Underestimating the Real Growth of GDP, Personal Income, and Productivity," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 145-164, Spring.
    19. Jerry Hausman, 2003. "Sources of Bias and Solutions to Bias in the Consumer Price Index," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 23-44, Winter.
    20. W. Erwin Diewert, 1998. "Index Number Issues in the Consumer Price Index," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 47-58, Winter.
    21. Erica L. Groshen & Brian C. Moyer & Ana M. Aizcorbe & Ralph Bradley & David M. Friedman, 2017. "How Government Statistics Adjust for Potential Biases from Quality Change and New Goods in an Age of Digital Technologies: A View from the Trenches," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 187-210, Spring.
    22. Sato, Kazuo, 1976. "The Ideal Log-Change Index Number," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 223-228, May.
    23. Nadim Ahmad & Paul Schreyer, 2016. "Measuring GDP in a Digitalised Economy," OECD Statistics Working Papers 2016/7, OECD Publishing.
    24. Peter Goodridge & Jonathan Haskel & Gavin Wallis, 2018. "Accounting for the UK Productivity Puzzle: A Decomposition and Predictions," Economica, London School of Economics and Political Science, vol. 85(339), pages 581-605, July.
    25. Austan D. Goolsbee & Peter J. Klenow, 2018. "Internet Rising, Prices Falling: Measuring Inflation in a World of E-Commerce," NBER Working Papers 24649, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. W. Erwin Diewert & Kevin J. Fox, 2022. "Measuring real consumption and consumer price index bias under lockdown conditions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 480-502, February.
    2. Fred Gault, 2019. "User Innovation in the Digital Economy," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(3), pages 6-12.
    3. Ryan Martin, 2020. "Identifying Consumer-Welfare Changes when Online Search Platforms Change Their List of Search Results," Staff Working Papers 20-5, Bank of Canada.
    4. Diewert W. Erwin & Fox Kevin J., 2022. "Measuring Inflation under Pandemic Conditions," Journal of Official Statistics, Sciendo, vol. 38(1), pages 255-285, March.
    5. Stefan Schweikl & Robert Obermaier, 2020. "Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects," Management Review Quarterly, Springer, vol. 70(4), pages 461-507, November.
    6. Kevin Fox, 2018. "What Do We Know About the Productivity Slowdown? Evidence from Australian Industry Data," International Productivity Monitor, Centre for the Study of Living Standards, vol. 35, pages 149-156, Fall.
    7. W. Erwin Diewert, 2022. "Scanner Data, Elementary Price Indexes and the Chain Drift Problem," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 445-606, Springer.
    8. Diewert, Erwin & Marandola, Tina, 2018. "Scanner Data, Elementary Price Indexes and the Chain Drift Problem," Microeconomics.ca working papers tina_marandola-2018-9, Vancouver School of Economics, revised 10 Oct 2018.
    9. Mo Abdirahman & Diane Coyle & Richard Heys & Will Stewart, 2022. "Telecoms Deflators: A Story of Volume and Revenue Weights," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 530-31, pages 43-59.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Ian Goldin & Pantelis Koutroumpis & François Lafond & Julian Winkler, 2024. "Why Is Productivity Slowing Down?," Journal of Economic Literature, American Economic Association, vol. 62(1), pages 196-268, March.
    3. W. Erwin Diewert & Robert C. Feenstra, 2021. "Estimating the Benefits of New Products," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 437-473, National Bureau of Economic Research, Inc.
    4. Diewert, Erwin & Feenstra, Robert, 2019. "Estimating the Benefits of New Products: Some Approximations," Microeconomics.ca working papers erwin_diewert-2019-3, Vancouver School of Economics, revised 13 Mar 2019.
    5. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.
    6. Diewert, W, Erwin & Feenstra, Robert, 2017. "Estimating the Benefits and Costs of New and Disappearing Products," Microeconomics.ca working papers tina_marandola-2017-12, Vancouver School of Economics, revised 19 Dec 2017.
    7. Diewert, Erwin & Fox, Kevin J., 2019. "Productivity Indexes and National Statistics: Theory, Methods and Challenges," Microeconomics.ca working papers erwin_diewert-2019-8, Vancouver School of Economics, revised 25 Apr 2019.
    8. W. Erwin Diewert & Kevin J. Fox, 2020. "Measuring Real Consumption and CPI Bias under Lockdown Conditions," NBER Working Papers 27144, National Bureau of Economic Research, Inc.
    9. Diewert, Erwin, 2019. "Quality Adjustment and Hedonics: A Unified Approach," Microeconomics.ca working papers erwin_diewert-2019-2, Vancouver School of Economics, revised 14 Mar 2019.
    10. 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.
    11. Charles Hulten & Leonard I. Nakamura, 2020. "Expanded GDP for Welfare Measurement in the 21st Century," NBER Chapters, in: Measuring and Accounting for Innovation in the Twenty-First Century, pages 19-59, National Bureau of Economic Research, Inc.
    12. W. Erwin Diewert & Kevin J. Fox & Paul Schreyer, 2022. "Experimental Economics and the New Commodities Problem," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(4), pages 895-905, December.
    13. Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Suhas Vijaykunar & Shan Wan, 2023. "Hedonic prices and quality adjusted price indices powered by AI," CeMMAP working papers 08/23, Institute for Fiscal Studies.
    14. Redding, Stephen & Weinstein, David, 2016. "A Unified Approach to Estimating Demand and Welfare," CEPR Discussion Papers 11421, C.E.P.R. Discussion Papers.
    15. Stephen J Redding & David E Weinstein, 2020. "Measuring Aggregate Price Indices with Taste Shocks: Theory and Evidence for CES Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 503-560.
    16. Leonard I. Nakamura, 2020. "Evidence of Accelerating Mismeasurement of Growth and Inflation in the U.S. in the 21st Century," Working Papers 20-41, Federal Reserve Bank of Philadelphia.
    17. Martin Feldstein, 2017. "Underestimating the Real Growth of GDP, Personal Income, and Productivity," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 145-164, Spring.
    18. Thomas von Brasch & Arvid Raknerud & Diana-Cristina Iancu, 2018. "Productivity growth, firm turnover and new varieties," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-11, Economic Statistics Centre of Excellence (ESCoE).
    19. Charles R. Hulten & Leonard I. Nakamura, 2017. "Accounting for Growth in the Age of the Internet The Importance of Output-Saving Technical Change," Working Papers 17-24, Federal Reserve Bank of Philadelphia.
    20. W. Erwin Diewert & Kevin J. Fox, 2022. "Measuring real consumption and consumer price index bias under lockdown conditions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 480-502, February.

    More about this item

    Keywords

    Maximum overlap indexes; Hicksian reservation prices; Laspeyres; Paasche; Fisher and Törnqvist price indexes;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D60 - Microeconomics - - Welfare Economics - - - General
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ubc:pmicro:erwin_diewert-2017-12. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Maureen Chin (email available below). General contact details of provider: http://www.economics.ubc.ca/ .

    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.