[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/red/sed010/97.html
   My bibliography  Save this paper

Measuring the Bias of Technological Change

Author

Listed:
  • Jordi Jaumandreu

    (Boston University)

  • Ulrich Doraszelski

    (Harvard University)

Abstract
functions that allows productivity to be multi-dimensional. Using firm-level panel data, we are able to directly assess the bias of technological change by measuring, at the level of the individual firm, how much of technological change is factor neutral and how much of it is labor augmenting. We further relate the speed and the direction of technological change to firms' R&D activities.

Suggested Citation

  • Jordi Jaumandreu & Ulrich Doraszelski, 2010. "Measuring the Bias of Technological Change," 2010 Meeting Papers 97, Society for Economic Dynamics.
  • Handle: RePEc:red:sed010:97
    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 search for a similarly titled item that would be available.

    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. Robert S. Chirinko, 2008. "ó: The Long And Short Of It," CESifo Working Paper Series 2234, CESifo.
    5. Gene M. Grossman & Elhanan Helpman, 2005. "Outsourcing in a Global Economy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 135-159.
    6. 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.
    7. Ezra Oberfield & Devesh Raval, 2021. "Micro Data and Macro Technology," Econometrica, Econometric Society, vol. 89(2), pages 703-732, March.
    8. 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.
    9. Lucia Foster & John Haltiwanger & Chad Syverson, 2008. "Reallocation, Firm Turnover, and Efficiency: Selection on Productivity or Profitability?," American Economic Review, American Economic Association, vol. 98(1), pages 394-425, March.
    10. McAdam, Peter & Willman, Alpo, 2013. "Medium Run Redux," Macroeconomic Dynamics, Cambridge University Press, vol. 17(4), pages 695-727, June.
    11. 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.
    12. 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).
    13. Eslava, Marcela & Haltiwanger, John & Kugler, Adriana & Kugler, Maurice, 2004. "The effects of structural reforms on productivity and profitabality enhancing reallocation: evidence from Colombia," Discussion Paper Series In Economics And Econometrics 0408, Economics Division, School of Social Sciences, University of Southampton.
    14. 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.
    15. Stephen Machin & John Van Reenen, 1998. "Technology and Changes in Skill Structure: Evidence from Seven OECD Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1215-1244.
    16. Juan J Dolado & Carlos Garcia--Serrano & Juan F. Jimeno, 2002. "Drawing Lessons From The Boom Of Temporary Jobs In Spain," Economic Journal, Royal Economic Society, vol. 112(721), pages 270-295, June.
    17. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    18. Steven J. Davis & John Haltiwanger, 1992. "Gross Job Creation, Gross Job Destruction, and Employment Reallocation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 819-863.
    19. 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).
    20. Kalt, Joseph P, 1978. "Technological Change and Factor Substitution in the United States: 1929-1967," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(3), pages 761-775, October.
    21. Griliches, Zvi, 1998. "R&D and Productivity," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226308869, September.
    22. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    23. Van Reenen, John, 1997. "Employment and Technological Innovation: Evidence from U.K. Manufacturing Firms," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 255-284, April.
    24. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, April.
    25. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1.
    26. 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.
    27. Dale W. Jorgenson, 1995. "Productivity, Volume 1: Postwar US Economic Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100495, April.
    28. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    29. Johannes van Biesebroeck, 2003. "Productivity Dynamics with Technology Choice: An Application to Automobile Assembly," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 167-198.
    30. Robert J. Gordon, 1990. "The Measurement of Durable Goods Prices," NBER Books, National Bureau of Economic Research, Inc, number gord90-1.
    31. Ulrich Doraszelski & Jordi Jaumandreu, 2013. "R&D and Productivity: Estimating Endogenous Productivity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(4), pages 1338-1383.
    32. Gene M. Grossman & Elhanan Helpman, 2002. "Integration versus Outsourcing in Industry Equilibrium," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 85-120.
    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. Dobbelaere, Sabien & Kiyota, Kozo & Mairesse, Jacques, 2015. "Product and labor market imperfections and scale economies: Micro-evidence on France, Japan and the Netherlands," Journal of Comparative Economics, Elsevier, vol. 43(2), pages 290-322.
    2. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-365, June.
    3. Filippo Biondi & Sergio Inferrera & Matthias Mertens & Javier Miranda, 2023. "Declining Business Dynamism in Europe: The Role of Shocks, Market Power, and Technology," Jena Economics Research Papers 2023-011, Friedrich-Schiller-University Jena.
    4. Manghnani,Ruchita, 2020. "Exports and Productivity : The Role of Imported Inputs and Investment in R&D," Policy Research Working Paper Series 9281, The World Bank.
    5. Camila Casas & Federico J. Diez & Alejandra Gonzalez & Stefany Moreno, 2015. "Productivity and export market participation: evidence from Colombia," Working Papers 14-14, Federal Reserve Bank of Boston.
    6. Smeets, Valerie & Warzynski, Frederic, 2013. "Estimating productivity with multi-product firms, pricing heterogeneity and the role of international trade," Journal of International Economics, Elsevier, vol. 90(2), pages 237-244.
    7. Andrea Pozzi & Fabiano Schivardi, 2016. "Demand or productivity: what determines firm growth?," RAND Journal of Economics, RAND Corporation, vol. 47(3), pages 608-630, August.
    8. Rosario Crinò & Paolo Epifani, 2009. "Productivity, Quality and Export Behavior (Revised version of: Firm-Export Intensity and Productivity, September 2011)," Development Working Papers 271, Centro Studi Luca d'Agliano, University of Milano.
    9. Doraszelski, Ulrich & Jaumandreu, Jordi, 2006. "R&D and productivity: Estimating production functions when productivity is endogenous," MPRA Paper 1246, University Library of Munich, Germany.
    10. Pardesi, Mantej, 2024. "Productivity convergence and firm’s training strategy," ROA Research Memorandum 003, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    11. Amoroso, S., 2013. "Heterogeneity of innovative, collaborative, and productive firm-level processes," Other publications TiSEM f5784a49-7053-401d-855d-1, Tilburg University, School of Economics and Management.
    12. Marcela Eslava & John Haltiwanger & Adriana Kugler & Maurice Kugler, 2010. "Factor Adjustments after Deregulation: Panel Evidence from Colombian Plants," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 378-391, May.
    13. Breunig, Christoph & Kummer, Michael & Ohnemus, Jörg & Viete, Steffen, 2016. "IT outsourcing and firm productivity: Eliminating bias from selective missingness in the dependent variable," ZEW Discussion Papers 16-092, ZEW - Leibniz Centre for European Economic Research.
    14. Brown, J. David & Earle, John S., 2008. "Understanding the Contributions of Reallocation to Productivity Growth: Lessons from a Comparative Firm-Level Analysis," IZA Discussion Papers 3683, Institute of Labor Economics (IZA).
    15. Van Reenen, John, 2011. "Does competition raise productivity through improving management quality?," International Journal of Industrial Organization, Elsevier, vol. 29(3), pages 306-316, May.
    16. Kasahara, Hiroyuki & Liang, Yawen & Rodrigue, Joel, 2016. "Does importing intermediates increase the demand for skilled workers? Plant-level evidence from Indonesia," Journal of International Economics, Elsevier, vol. 102(C), pages 242-261.
    17. James Harrigan & Ariell Reshef & Farid Toubal, 2018. "Techies, Trade, and Skill-Biased Productivity," NBER Working Papers 25295, National Bureau of Economic Research, Inc.
    18. Bloom, Nicholas & Van Reenen, John, 2011. "Human Resource Management and Productivity," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 19, pages 1697-1767, Elsevier.
    19. Gornig, Martin & Schiersch, Alexander, 2019. "Agglomeration economies and firm TFP: different effects across industries," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203597, Verein für Socialpolitik / German Economic Association.
    20. Chen, Xi, 2017. "Biased Technical Change, Scale, And Factor Substitution In U.S. Manufacturing Industries," Macroeconomic Dynamics, Cambridge University Press, vol. 21(2), pages 488-514, March.

    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:red:sed010:97. 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.