IDEAS home Printed from https://ideas.repec.org/p/red/sed019/1380.html
   My bibliography  Save this paper

Information Technology and Returns to Scale

Author

Listed:
  • Danial Lashkari

    (Boston College)

  • Arthur Bauer

    (CREST)

  • Jocelyn Boussard

    (Banque de France)

Abstract

The rise of Information Technology (IT) is often linked to recent secular macroeconomic trends such as the fall in the labor share and the rise in industry concentration. This paper demonstrates a novel causal mechanism through which the fall in the price of IT capital con- tributes to these trends. It relies on newly constructed measures of software and hardware capital in the universe of French firms to document a strong correlation between firm size and the intensity of demand for IT. Using exogenous destination-level demand shocks in the sample of exporting firms, the paper identifies a positive elasticity of IT intensity with respect to firm output. A simple heterogeneous-firm model of industry equilibrium can rationalize these empirical patterns, if firm-level production function is nonhomothetic and the relative marginal product of IT rises with output. Given a large fall in the price of IT inputs, the calibrated model generates a sizable rise in industry concentration, and a fall in aggregate labor share and entry.

Suggested Citation

  • Danial Lashkari & Arthur Bauer & Jocelyn Boussard, 2019. "Information Technology and Returns to Scale," 2019 Meeting Papers 1380, Society for Economic Dynamics.
  • Handle: RePEc:red:sed019:1380
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    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. 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.
    4. 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.
    5. 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.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    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. Castex, Gonzalo & (Stanley) Cho, Sang-Wook & Dechter, Evgenia, 2022. "The decline in capital-skill complementarity," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    2. vom Lehn, Christian, 2018. "Understanding the decline in the U.S. labor share: Evidence from occupational tasks," European Economic Review, Elsevier, vol. 108(C), pages 191-220.
    3. Bellocchi, Alessandro & Marin, Giovanni & Travaglini, Giuseppe, 2023. "The labor share puzzle: Empirical evidence for European countries," Economic Modelling, Elsevier, vol. 124(C).
    4. Musa Orak, 2017. "Capital-Task Complementarity and the Decline of the U.S. Labor Share of Income," International Finance Discussion Papers 1200, Board of Governors of the Federal Reserve System (U.S.).
    5. Arvai, Kai & Mann, Katja, 2022. "Consumption Inequality in the Digital Age," VfS Annual Conference 2022 (Basel): Big Data in Economics 264001, Verein für Socialpolitik / German Economic Association.
    6. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    7. 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.
    8. Lee Ohanian & Musa Orak & Shihan Shen, 2023. "Revisiting Capital-Skill Complementarity, Inequality, and Labor Share," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 479-505, December.
    9. Sampson, Thomas, 2016. "Assignment reversals: Trade, skill allocation and wage inequality," Journal of Economic Theory, Elsevier, vol. 163(C), pages 365-409.
    10. Loukas Karabarbounis & Brent Neiman, 2019. "Accounting for Factorless Income," NBER Macroeconomics Annual, University of Chicago Press, vol. 33(1), pages 167-228.
    11. Stiebale, Joel & Suedekum, Jens & Woessner, Nicole, 2024. "Robots and the rise of European superstar firms," International Journal of Industrial Organization, Elsevier, vol. 97(C).
    12. Rachel Ngai & Orhun Sevinc, 2025. "A Multisector Perspective on Wage Stagnation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 56, April.
    13. Christian vom Lehn, 2015. "Labor Market Polarization, the Decline of Routine Work, and Technological Change: A Quantitative Evaluation," 2015 Meeting Papers 151, Society for Economic Dynamics.
    14. Julieta Caunedo & David Jaume & Elisa Keller, 2023. "Occupational Exposure to Capital-Embodied Technical Change," American Economic Review, American Economic Association, vol. 113(6), pages 1642-1685, June.
    15. Bouazizi, Youssef & Oulmakki, Ouail & Savard, Luc & Verny, Jérôme, 2025. "The decline of the wage share in value-added: What have we learned from North African firms?," Structural Change and Economic Dynamics, Elsevier, vol. 72(C), pages 150-162.
    16. Yang, Guang-Zhao & Si, Deng-Kui & Ning, Guang-Jie, 2023. "Does digital transformation reduce the labor income share in enterprises?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1526-1538.
    17. Çürük, Malik & Rozendaal, Rik, 2022. "Labor Share, Industry Concentration and Energy Prices : Evidence from Europe," Discussion Paper 2022-023, Tilburg University, Center for Economic Research.
    18. Liu, Tingyu & Huang, Peng & Wang, Qiaoru, 2025. "The impact of digital innovation on labor share: Evidence from Chinese firms," International Review of Economics & Finance, Elsevier, vol. 99(C).
    19. Ryosuke Shimizu & Shohei Momoda, 2021. "Does Automation Technology increase Wage?," Discussion papers ron343, Policy Research Institute, Ministry of Finance Japan.
    20. Wemy, Edouard, 2021. "Capital-labor substitution elasticity: A simulated method of moments approach," Economic Modelling, Elsevier, vol. 97(C), pages 14-44.

    More about this item

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    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:red:sed019:1380. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.html .

    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.