IDEAS home Printed from https://ideas.repec.org/a/ucp/jpolec/doi10.1086-697204.html
   My bibliography  Save this article

Measuring the Bias of Technological Change

Author

Listed:
  • Ulrich Doraszelski
  • Jordi Jaumandreu

Abstract

Technological change can increase the productivity of the various factors of production in equal terms, or it can be biased toward a specific factor. We directly assess the bias of technological change by measuring, at the level of the individual firm, how much of it is labor augmenting and how much is factor neutral. To do so, we develop a framework for estimating production functions when productivity is multidimensional. Using panel data from Spain, we find that technological change is biased, with both its labor-augmenting and its factor-neutral components causing output to grow by about 1.5 percent per year.

Suggested Citation

  • 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.
  • Handle: RePEc:ucp:jpolec:doi:10.1086/697204
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/697204
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/697204
    Download Restriction: Access to the online full text or PDF requires a subscription.

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Binswanger, Hans P, 1974. "The Measurement of Technical Change Biases with Many Factors of Production," American Economic Review, American Economic Association, vol. 64(6), pages 964-976, December.
    2. repec:ucp:bknber:9780226304557 is not listed on IDEAS
    3. Eslava, Marcela & Haltiwanger, John & Kugler, Adriana & Kugler, Maurice, 2004. "The effects of structural reforms on productivity and profitability enhancing reallocation: evidence from Colombia," Journal of Development Economics, Elsevier, vol. 75(2), pages 333-371, December.
    4. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, March.
    5. Robert S. Chirinko, 2008. "รณ: The Long And Short Of It," CESifo Working Paper Series 2234, CESifo Group Munich.
    6. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, March.
    7. Amit Gandhi & Salvador Navarro & David Rivers, 2011. "On the Identification of Production Functions: How Heterogeneous is Productivity?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20119, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    8. Gene M. Grossman & Elhanan Helpman, 2005. "Outsourcing in a Global Economy," Review of Economic Studies, Oxford University Press, vol. 72(1), pages 135-159.
    9. Daniel S. Hamermesh & Gerard A. Pfann, 1996. "Adjustment Costs in Factor Demand," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1264-1292, September.
    10. Ackerberg, Daniel & Lanier Benkard, C. & Berry, Steven & Pakes, Ariel, 2007. "Econometric Tools for Analyzing Market Outcomes," Handbook of Econometrics,in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 63 Elsevier.
    11. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1, September.
    12. Ezra Oberfield & Devesh Raval, 2012. "Micro data and macro technology," Working Paper Series WP-2012-11, Federal Reserve Bank of Chicago.
    13. Sandra E. Black & Lisa M. Lynch, 2001. "How To Compete: The Impact Of Workplace Practices And Information Technology On Productivity," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 434-445, August.
    14. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    15. Dale W. Jorgenson, 1995. "Productivity, Volume 1: Postwar US Economic Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100495, March.
    16. McAdam, Peter & Willman, Alpo, 2013. "Medium Run Redux," Macroeconomic Dynamics, Cambridge University Press, vol. 17(04), pages 695-727, June.
    17. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    18. Johannes van Biesebroeck, 2003. "Productivity Dynamics with Technology Choice: An Application to Automobile Assembly," Review of Economic Studies, Oxford University Press, vol. 70(1), pages 167-198.
    19. Robert J. Gordon, 1990. "The Measurement of Durable Goods Prices," NBER Books, National Bureau of Economic Research, Inc, number gord90-1, September.
    20. Steven J. Davis & John Haltiwanger, 1992. "Gross Job Creation, Gross Job Destruction, and Employment Reallocation," The Quarterly Journal of Economics, Oxford University Press, vol. 107(3), pages 819-863.
    21. Abowd, John M. & Haltiwanger, John C. & Lane, Julia & McKinney, Kevin Lee & Sandusky, L. Kristin, 2007. "Technology and the Demand for Skill: An Analysis of Within and Between Firm Differences," IZA Discussion Papers 2707, Institute of Labor Economics (IZA).
    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. repec:eee:appene:v:211:y:2018:i:c:p:743-754 is not listed on IDEAS
    2. Johanna Vogel & Kurt Kratena & Kathrin Hranyai, 2015. "The Bias of Technological Change in Europe," WWWforEurope Working Papers series 98, WWWforEurope.
    3. Jordi Jaumandreu & Shuheng Lin, 2018. "Prices under Innovation: Evidence from Manufacturing Firms," Working Papers 2019-07-04, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    4. James Harrigan & Ariell Reshef & Farid Toubal, 2018. "Techies, Trade, and Skill-Biased Productivity," NBER Working Papers 25295, National Bureau of Economic Research, Inc.
    5. Laurens Cherchye & Thomas Demuynck & Bram De Rock & Marijn Verschelde, 2018. "Nonparametric Production Analysis with Unobserved Heterogeneity in Productivity," Working Papers ECARES 2018-25, ULB -- Universite Libre de Bruxelles.
    6. Crass, Dirk & Peters, Bettina, 2014. "Intangible assets and firm-level productivity," ZEW Discussion Papers 14-120, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    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:ucp:jpolec:doi:10.1086/697204. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Journals Division). General contact details of provider: http://www.journals.uchicago.edu/JPE/ .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.