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Pure technology gaps and production predictability

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  • Bednarek, Ziemowit

Abstract

An average machine lags in terms of productivity and technological advancement behind a cutting-edge machine. This lag was first defined by Cummins and Violante (2002) as the technology gap. Using the vector error correction model, I show that the technology gap is cointegrated with human capital factors, and then decompose it into a long-run trend and a transitory mean-reverting component, which I term as the pure technology gap. I show that the pure technology gap has a predictive power for the aggregate production. Intuitively, a high pure technology gap acts as an economic shock that increases production in the long term due to a higher future productivity level.

Suggested Citation

  • Bednarek, Ziemowit, 2016. "Pure technology gaps and production predictability," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 39-50.
    • Handle: RePEc:eee:quaeco:v:59:y:2016:i:c:p:39-50
    DOI: 10.1016/j.qref.2015.02.009
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    as
    1. repec:ucp:bknber:9780226304557 is not listed on IDEAS
    2. Jonas D. M. Fisher, 2006. "The Dynamic Effects of Neutral and Investment-Specific Technology Shocks," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 413-451, June.
    3. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2012. "An Empirical Evaluation of the Long-Run Risks Model for Asset Prices," Critical Finance Review, now publishers, vol. 1(1), pages 183-221, January.
    4. Claudia Goldin & Lawrence F. Katz, 1999. "The Returns to Skill in the United States across the Twentieth Century," NBER Working Papers 7126, National Bureau of Economic Research, Inc.
    5. Gort, Michael & Wall, Richard A., 1998. "Obsolescence, input augmentation, and growth accounting," European Economic Review, Elsevier, vol. 42(9), pages 1653-1665, November.
    6. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    7. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    8. Hulten, Charles R, 1992. "Growth Accounting When Technical Change Is Embodied in Capital," American Economic Review, American Economic Association, vol. 82(4), pages 964-980, September.
    9. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    10. repec:bla:jfinan:v:59:y:2004:i:4:p:1481-1509 is not listed on IDEAS
    11. Robert J. Gordon, 1990. "The Measurement of Durable Goods Prices," NBER Books, National Bureau of Economic Research, Inc, number gord90-1.
    12. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    13. Gonzalo, Jesus, 1994. "Five alternative methods of estimating long-run equilibrium relationships," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 203-233.
    14. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    15. Charles R. Hulten, 1992. "Growth Accounting When Technical Change is Embodied in Capital," NBER Working Papers 3971, National Bureau of Economic Research, Inc.
    16. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-1056, September.
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