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Measuring the Bias of Technological Change

  • Jordi Jaumandreu

    (Boston University)

  • Ulrich Doraszelski

    (Harvard University)

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.

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Paper provided by Society for Economic Dynamics in its series 2010 Meeting Papers with number 97.

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Date of creation: 2010
Date of revision:
Handle: RePEc:red:sed010:97
Contact details of provider: Postal: Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA
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  1. Nick Bloom & Raffaella Sadun & John Van Reenen, 2007. "Americans do I.T. better: US multinationals and the productivity miracle," LSE Research Online Documents on Economics 4555, London School of Economics and Political Science, LSE Library.
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  3. 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.
  4. McAdam, Peter & Willman, Alpo, 2013. "Medium Run Redux," Macroeconomic Dynamics, Cambridge University Press, vol. 17(04), pages 695-727, June.
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  8. 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.
  9. Dale W. Jorgenson, 1995. "Productivity, Volume 1: Postwar US Economic Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100495, June.
  10. 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.
  11. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, June.
  12. Binswanger, Hans P., 1973. "The Measurement Of Technical Change Biases With Many Factors Of Production," Staff Papers 14205, University of Minnesota, Department of Applied Economics.
  13. 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 for the Study of Labor (IZA).
  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. Steve J. Davis & John Haltiwanger, 1991. "Gross Job Creation, Gross Job Destruction and Employment Reallocation," NBER Working Papers 3728, National Bureau of Economic Research, Inc.
  16. Jeffrey M. Wooldridge, 2001. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262232197, June.
  17. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1, December.
  18. Johannes Van Biesebroeck, 2000. "Measuring Productivity Dynamics with Endogenous Choice of Technology and Capacity Utilization: An Application to Automobile Assembly," Working Papers 00-16, Center for Economic Studies, U.S. Census Bureau.
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  20. Robert J. Gordon, 1990. "The Measurement of Durable Goods Prices," NBER Books, National Bureau of Economic Research, Inc, number gord90-1, December.
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