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Biased Technical Change, Intermediate Goods, And Total Factor Productivity

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  • Moro, Alessio

Abstract

Biased technical change can be defined as changes that affect the elasticity of output with respect to inputs. In this paper, I analyze the effect of biased technical change on total factor productivity (TFP). I construct an input-output economy in which firms produce gross output using capital, labor and intermediate goods. In equilibrium, biased technical change appears as an explicit part of TFP in the value added aggregate production function, where the latter is obtained through the aggregation of individual firms optimal decisions. A larger elasticity of gross output with respect to intermediates implies a smaller TFP level. I use the model to quantify the impact of biased technical change for measured TFP growth in Italy. The exercise shows that biased technical change can account for the productivity slowdown observed in Italy from 1994 to 2004.

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Bibliographic Info

Article provided by Cambridge University Press in its journal Macroeconomic Dynamics.

Volume (Year): 16 (2012)
Issue (Month): 02 (April)
Pages: 184-203

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Handle: RePEc:cup:macdyn:v:16:y:2012:i:02:p:184-203_00

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  1. Rui Castro & Gian Luca Clementi & Glenn MacDonald, 2004. "Legal Institutions, Sectoral Heterogeneity, and Economic Development," 2004 Meeting Papers 162, Society for Economic Dynamics.
  2. Richard Rogerson & Diego Restuccia, 2004. "Policy Distortions and Aggregate Productivity with Heterogeneous Plants," 2004 Meeting Papers 69, Society for Economic Dynamics.
  3. Stephen L. Parente & Edward C. Prescott, 1997. "Monopoly rights: a barrier to riches," Staff Report 236, Federal Reserve Bank of Minneapolis.
  4. Xu Yi & Nezih Guner & Gustavo Ventura, 2005. "Macroeconomic Implications of Size Dependent Policies," 2005 Meeting Papers 530, Society for Economic Dynamics.
  5. Berthold Herrendorf & Arilton Teixeira, 2005. "How Barriers to International Trade Affect TFP," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(4), pages 866-876, October.
  6. Bruno, Michael, 1984. "Raw Materials, Profits, and the Productivity Slowdown," The Quarterly Journal of Economics, MIT Press, vol. 99(1), pages 1-29, February.
  7. Julio J. Rotemberg & Michael Woodford, 1996. "Imperfect Competition and the Effects of Energy Price Increases on Economic Activity," NBER Working Papers 5634, National Bureau of Economic Research, Inc.
  8. Wolff, Edward N, 1996. "The Productivity Slowdown: The Culprit at Last? Follow-Up on Hulten and Wolff," American Economic Review, American Economic Association, vol. 86(5), pages 1239-52, December.
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Cited by:
  1. Manoj Atolia & Ryan Chahrour, 2013. "Intersectoral Linkages, Diverse Information, and Aggregate Dynamics in a Neoclassical Model," Boston College Working Papers in Economics 832, Boston College Department of Economics.
  2. Jan Grobovšek, 2011. "Development Accounting with Intermediate Goods," Working Papers 2011.85, Fondazione Eni Enrico Mattei.
  3. Jan Grobovsek (University of Edinburgh), 2013. "Development Accounting with Intermediate Goods," ESE Discussion Papers 223, Edinburgh School of Economics, University of Edinburgh.
  4. Thomas Strobel, 2013. "Embodied Technology Diffusionand Sectoral ProductivityEvidence for 12 OECD Countries," Ifo Working Paper Series Ifo Working Paper No. 156, Ifo Institute for Economic Research at the University of Munich.

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