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The Measurement of Growth under Embodied Technical Change

Author

Listed:
  • Omar Licandro
  • Javier Ruiz-Castillo
  • Jorge Duran

Abstract

New U.S. evidence from NIPA contradicts some of the well-known Kaldor stylized facts, and call for a reformulation of the modem theory of economic growth. Among these new facts, two must be stressed : A permanent decline in the relative price of durable goods, and a permanent increase in the real equipment to real GDP ratio. To be consistent with these new facts, growth models must include at least two sectors and address the problem of defining aggregate output. In this paper, the economic theory of index numbers is used to define the growth rate of real output in a growth model with embodied technical change. The main findings are : (i) NIPA's methodology measures growth in accordance with the economic theory on index numbers, and (ii) when the growth rate is measured as in NIPA, the contribution of embodied technical change to per capital GDP growth in the U.S. is 69%, which reinforce the claim that embodied technical change is important for growth.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Omar Licandro & Javier Ruiz-Castillo & Jorge Duran, 2002. "The Measurement of Growth under Embodied Technical Change," Recherches économiques de Louvain, De Boeck Université, vol. 68(1), pages 7-19.
  • Handle: RePEc:cai:reldbu:rel_681_0007
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    References listed on IDEAS

    as
    1. Karl Whelan, 2000. "A guide to the use of chain aggregated NIPA data," Finance and Economics Discussion Series 2000-35, Board of Governors of the Federal Reserve System (U.S.).
    2. repec:ucp:bknber:9780226304557 is not listed on IDEAS
    3. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-362, June.
    4. Diewert, Erwin, 2007. "Index Numbers," Economics working papers diewert-07-01-03-08-17-23, Vancouver School of Economics, revised 31 Jan 2007.
    5. Robert J. Gordon, 1990. "The Measurement of Durable Goods Prices," NBER Books, National Bureau of Economic Research, Inc, number gord90-1, August.
    6. Michael Reiter, 1999. "Asset prices and the measurement of wealth and saving," Economics Working Papers 396, Department of Economics and Business, Universitat Pompeu Fabra.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Boucekkine, Raouf & del Rio, Fernando & Licandro, Omar, 2005. "Obsolescence and modernization in the growth process," Journal of Development Economics, Elsevier, vol. 77(1), pages 153-171, June.
    2. Ricardo Azevedo, Araujo & Joanilio Rodolpho, Teixeira, 2010. "Investment Specific Technological Progress and Structural Change," MPRA Paper 53672, University Library of Munich, Germany.
    3. Jorge Durán & Omar Licandro, 2012. "Is the GDP Growth Rate in NIPA a Welfare Measure?," Working Papers 665, Barcelona School of Economics.
    4. Duernecker, Georg & Herrendorf, Berthold & Valentinyi, Ákos, 2021. "The productivity growth slowdown and Kaldor’s growth facts," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    5. Gosselin, Pierre & Lotz, Aïleen & Wambst, Marc, 2016. "How To Spend It? Capital Accumulation in a Changing World," MPRA Paper 71665, University Library of Munich, Germany.
    6. Felbermayr Gabriel J & Licandro Omar, 2005. "The Underestimated Virtues of the Two-sector AK Model," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-19, September.
    7. Gabriel J Felbermayr & Omar Licandro, 2002. "Embodied technical change in a two-sector AK model," Macroeconomics 0210001, University Library of Munich, Germany.
    8. Jorge Duran & Omar Licandro, 2015. "Is the output growth rate in NIPA a welfare measure?," Discussion Papers 2015/18, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    9. Bianco, Dominique, 2007. "An Endogenous Growth Model with Embodied Technical Change without Scale Effects," MPRA Paper 6571, University Library of Munich, Germany, revised 04 Jan 2008.
    10. Schubert, Torben & Neuhäusler, Peter, 2018. "Can depleting technological opportunities explain the stagnation of productivity? Panel data evidence for 11 OECD countries," Studien zum deutschen Innovationssystem 11-2018, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.

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    More about this item

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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