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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
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Handle: RePEc:red:sed010:97
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Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA

Web page: http://www.EconomicDynamics.org/
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  1. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1, September.
  2. Bloom, Nicholas & Sadun, Raffaella & Van Reenen, John, 2007. "Americans Do I.T. Better: US Multinationals and the Productivity Miracle," CEPR Discussion Papers 6291, C.E.P.R. Discussion Papers.
  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. Robert S. Chirinko, 2008. "ó: The Long And Short Of It," CESifo Working Paper Series 2234, CESifo Group Munich.
  5. Robert J. Gordon, 1990. "The Measurement of Durable Goods Prices," NBER Books, National Bureau of Economic Research, Inc, number gord90-1, September.
  6. John M. Abowd & John Haltiwanger & Julia Lane & Kevin L. McKinney & Kristin Sandusky, 2007. "Technology and the Demand for Skill:An Analysis of Within and Between Firm Differences," NBER Working Papers 13043, National Bureau of Economic Research, Inc.
  7. Gene M. Grossman & Elhanan Helpman, 2002. "Outsourcing in a Global Economy," NBER Working Papers 8728, National Bureau of Economic Research, Inc.
  8. Dale W. Jorgenson, 1995. "Productivity, Volume 1: Postwar US Economic Growth," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100495, March.
  9. Ezra Oberfield & Devesh Raval, 2012. "Micro data and macro technology," Working Paper Series WP-2012-11, Federal Reserve Bank of Chicago.
  10. Jeffrey M. Wooldridge, 2001. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262232197, March.
  11. 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).
  12. Lisa M Lynch & Sandra E Black, 2002. "How to Compete: The Impact of Workplace Practices and Information Technology on Productivity," Working Papers 02-04, Center for Economic Studies, U.S. Census Bureau.
  13. 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.
  14. 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.
  15. McAdam, Peter & Willman, Alpo, 2013. "Medium Run Redux," Macroeconomic Dynamics, Cambridge University Press, vol. 17(04), pages 695-727, June.
  16. 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.
  17. 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.
  18. David Card & John E. DiNardo, 2002. "Skill Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," NBER Working Papers 8769, National Bureau of Economic Research, Inc.
  19. repec:ucp:bknber:9780226304557 is not listed on IDEAS
  20. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, March.
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