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Estimating level effects in diffusion of a new technology: Barcode scanning at the checkout counter

Author

Listed:
  • Jonathan Beck

    (Humboldt Universität zu Berlin)

  • Michal Grajek

    (ESMT European School of Management and Technology)

  • Christian Wey

    (Technische Universität Berlin)

Abstract
Cross-country or cross-industry studies of technology diffusion typically estimate how independent factors affect diffusion speed or timing, often based on a two-stage approach. In many applications, however, countries (industries) differ most in the saturation level of diffusion. In a novel, single-stage econometric approach to a standard diffusion model, we therefore estimate how the saturation level covaries with independent factors. In our application to diffusion of an important retail information technology, we focus on the competitive effect of hypermarkets (superstores). We also find standard scale, income and labor substitution effects.

Suggested Citation

  • Jonathan Beck & Michal Grajek & Christian Wey, 2007. "Estimating level effects in diffusion of a new technology: Barcode scanning at the checkout counter," ESMT Research Working Papers ESMT-07-002, ESMT European School of Management and Technology.
    • Handle: RePEc:esm:wpaper:esmt-07-002
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    References listed on IDEAS

    as
    1. Jonathan Beck & Michal Grajek & Christian Wey, 2005. "Hypermarket Competition and the Diffusion of Retail Checkout Barcode Scanning," CIG Working Papers SP II 2005-19, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    2. Philippe Aghion & Nick Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2005. "Competition and Innovation: an Inverted-U Relationship," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 701-728.
    3. Francesco Caselli & Wilbur John Coleman, 2001. "Cross-Country Technology Diffusion: The Case of Computers," American Economic Review, American Economic Association, vol. 91(2), pages 328-335, May.
    4. Holmes, Thomas J, 2001. "Bar Codes Lead to Frequent Deliveries and Superstores," RAND Journal of Economics, The RAND Corporation, vol. 32(4), pages 708-725, Winter.
    5. Blanchard, Olivier & Wolfers, Justin, 2000. "The Role of Shocks and Institutions in the Rise of European Unemployment: The Aggregate Evidence," Economic Journal, Royal Economic Society, vol. 110(462), pages 1-33, March.
    6. Diego Comin & Bart Hobijn & Emilie Rovito, 2006. "Five Facts You Need to Know About Technology Diffusion," NBER Working Papers 11928, National Bureau of Economic Research, Inc.
    7. Levin, Sharon G & Levin, Stanford L & Meisel, John B, 1992. "Market Structure, Uncertainty, and Intrafirm Diffusion: The Case of Optical Scanners in Grocery Stores," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 345-350, May.
    8. Marianne Bertrand & Francis Kramarz, 2002. "Does Entry Regulation Hinder Job Creation? Evidence from the French Retail Industry," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1369-1413.
    9. Gruber, Harald & Verboven, Frank, 2001. "The diffusion of mobile telecommunications services in the European Union," European Economic Review, Elsevier, vol. 45(3), pages 577-588, March.
    10. C.J. Krizan & John Haltiwanger & Lucia Foster, 2002. "The Link Between Aggregate and Micro Productivity Growth: Evidence from Retail Trade," Working Papers 02-18, Center for Economic Studies, U.S. Census Bureau.
    11. Griliches, Zvi, 1980. "Hybrid Corn Revisited: A Reply," Econometrica, Econometric Society, vol. 48(6), pages 1463-1465, September.
    12. Thomas Åstebro, 2004. "Sunk Costs and the Depth and Probability of Technology Adoption," Journal of Industrial Economics, Wiley Blackwell, vol. 52(3), pages 381-399, September.
    13. Stefano Scarpetta & Philip Hemmings & Thierry Tressel & Jaejoon Woo, 2002. "The Role of Policy and Institutions for Productivity and Firm Dynamics: Evidence from Micro and Industry Data," OECD Economics Department Working Papers 329, OECD Publishing.
    14. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    15. Heli Koski & Tobias Kretschmer, 2004. "Entry, Standards and Competition: Firm Strategies and the Diffusion of Mobile Telephony," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 26(1), pages 89-113, November.
    16. Howard Smith & Donald Hay, 2005. "Streets, Malls, and Supermarkets," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 14(1), pages 29-59, March.
    17. Kevin J. Stiroh, 2002. "Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?," American Economic Review, American Economic Association, vol. 92(5), pages 1559-1576, December.
    18. Trajtenberg, Manuel & Yitzhaki, Shlomo, 1989. "The Diffusion of Innovations: A Methodological Reappraisal," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(1), pages 35-47, January.
    19. Massoud Karshenas & Paul L. Stoneman, 1993. "Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 503-528, Winter.
    20. World Bank, 2003. "World Development Indicators 2003," World Bank Publications - Books, The World Bank Group, number 13920.
    21. Levin, Sharon G & Levin, Stanford L & Meisel, John B, 1987. "A Dynamic Analysis of the Adoption of a New Technology: The Case of Optical Scanners," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 12-17, February.
    22. Dixon, Robert J, 1980. "Hybrid Corn Revisited," Econometrica, Econometric Society, vol. 48(6), pages 1451-1461, September.
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    Cited by:

    1. Emek Basker & Timothy Simcoe, 2021. "Upstream, Downstream: Diffusion and Impacts of the Universal Product Code," Journal of Political Economy, University of Chicago Press, vol. 129(4), pages 1252-1286.
    2. Emek Basker, 2012. "Raising the Barcode Scanner: Technology and Productivity in the Retail Sector," NBER Chapters, in: Standards, Patents and Innovations, National Bureau of Economic Research, Inc.
    3. Emek Basker & Shawn Klimek & Pham Hoang Van, 2008. "Supersize It: The Growth of Retail Chains and the Rise of the "Big Box" Retail Format," Working Papers 0809, Department of Economics, University of Missouri, revised 30 Sep 2010.
    4. Emek Basker, 2015. "Change at the Checkout: Tracing the Impact of a Process Innovation," Journal of Industrial Economics, Wiley Blackwell, vol. 63(2), pages 339-370, June.
    5. Emek Basker & Shawn Klimek & Pham Hoang Van, 2012. "Supersize It: The Growth of Retail Chains and the Rise of the “Big‐Box” Store," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 21(3), pages 541-582, September.
    6. Haucap, Justus & Heimeshoff, Ulrich & Klein, Gordon J. & Rickert, Dennis & Wey, Christian, 2013. "Wettbewerbsprobleme im Lebensmitteleinzelhandel," DICE Ordnungspolitische Perspektiven 48, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

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    More about this item

    Keywords

    diffusion; information technology; retail competition;
    All these keywords.

    JEL classification:

    • L5 - Industrial Organization - - Regulation and Industrial Policy
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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