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Explaining Cross-Country Productivity Differences in Retailing

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  • David Lagakos

    (UCLA)

Abstract

rates of car ownership and low levels of income per square mile. I formalize this hypothesis in a spatial model in which the diffusion of modern retail stores is driven by auto ownership and household income. The idea that technology adoption is driven by the demand side appears promising for explaining productivity differences more broadly.

Suggested Citation

  • David Lagakos, 2007. "Explaining Cross-Country Productivity Differences in Retailing," 2007 Meeting Papers 951, Society for Economic Dynamics.
  • Handle: RePEc:red:sed007:951
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    File URL: https://economicdynamics.org/meetpapers/2007/paper_951.pdf
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    References listed on IDEAS

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    1. Chad Syverson, 2004. "Market Structure and Productivity: A Concrete Example," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1181-1222, December.
    2. James A. Schmitz Jr., 2005. "What Determines Productivity? Lessons from the Dramatic Recovery of the U.S. and Canadian Iron Ore Industries Following Their Early 1980s Crisis," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 582-625, June.
    3. Francisco J. Buera & Joseph P. Kaboski, 2012. "The Rise of the Service Economy," American Economic Review, American Economic Association, vol. 102(6), pages 2540-2569, October.
    4. Parente, Stephen L & Prescott, Edward C, 1994. "Barriers to Technology Adoption and Development," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 298-321, April.
    5. Danilo Pelletiere & Kenneth A. Reinart, 2002. "The Political Economy of Used Automobile Protection in Latin America," The World Economy, Wiley Blackwell, vol. 25(7), pages 1019-1037, July.
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