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Information Technology and Returns to Scale

Author

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  • D. LASHKARI

    (Boston College)

  • A. BAUER

    (Insee - Crest)

  • J. BOUSSARD

    (Commission européenne - Crest)

Abstract

Relying on a novel dataset on hardware and software investments in the universe of French firms, we document a robust within-industry correlation between firm size and the intensity of IT demand. To explain this fact, we argue that the relative marginal product of IT inputs may rise with firm scale, since IT helps firms deal with organizational limits to scale. We propose a general equilibrium model of industry dynamics that features nonhomothetic production functions compatible with this mechanism. Estimating this production function, we identify the nonhomotheticity of IT demand and find an elasticity of substitution between IT and non- IT inputs that falls below unity. Under the estimated model parameters, the cross-sectional predictions of the model match the observed relationship of firm size with IT intensity (positive) and labor share (negative). In addition, in response to the fall in the relative price of IT inputs in post-1990 France, the model explains about half of both the observed rise in market concentration and the market reallocations toward low-labor-share firms.

Suggested Citation

  • D. Lashkari & A. Bauer & J. Boussard, 2020. "Information Technology and Returns to Scale," Documents de Travail de l'Insee - INSEE Working Papers g2020-14, Institut National de la Statistique et des Etudes Economiques.
  • Handle: RePEc:nse:doctra:g2020-14
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    References listed on IDEAS

    as
    1. Maya Eden & Paul Gaggl, 2018. "On the Welfare Implications of Automation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 15-43, July.
    2. Ulrich Doraszelski & Jordi Jaumandreu, 2018. "Measuring the Bias of Technological Change," Journal of Political Economy, University of Chicago Press, vol. 126(3), pages 1027-1084.
    3. Teresa C. Fort, 2017. "Technology and Production Fragmentation: Domestic versus Foreign Sourcing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 650-687.
    4. Michael Elsby & Bart Hobijn & Ayseful Sahin, 2013. "The Decline of the U.S. Labor Share," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 44(2 (Fall)), pages 1-63.
    5. Teresa C. Fort, 2017. "Technology and Production Fragmentation: Domestic versus Foreign Sourcing," Review of Economic Studies, Oxford University Press, vol. 84(2), pages 650-687.
    6. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    Full references (including those not matched with items on IDEAS)

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    JEL classification:

    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution

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