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Modelling the Asymmetric Volatility of Electronics Patents in the USA

Author

Listed:
  • Felix Chan

    (Department of Economics, University of Western Australia)

  • Dora Marinova

    (Institute for Sustainability and Technology Policy, Murdoch University)

  • Michael McAleer

    (Department of Economics, University of Western Australia)

Abstract
Since the 1970s, electronics and associated electrical equipment (henceforth "electronics") has been one of the most dominant industries in the developed countries, with its geographical centre firmly rooted in the USA. The overall presence of electronics patents in the USA is considerable, with the share of electronics reaching 31% of all US patents in 1996 and total electronics patents reaching close to 170,000 in 1997. For the empirical analysis, the time-varying nature of volatility in the electronics patent share, namely the ratio of US electronics patents to total US patents, is examined using monthly data from January 1975 to December 1997. As negative and positive movements in the patent share may have different impacts on innovative activity, and hence on volatility, both symmetric and asymmetric models of volatility are estimated. The estimated models are the symmetric AR(1)-GARCH(1,1), the asymmetric AR(1)-GJR(1,1), and asymmetric AR(1)-EGARCH(1,1). Of these, the asymmetric AR(1)-GJR(1,1) model is found to be suitable for modelling the electronics patent share in the USA.

Suggested Citation

  • Felix Chan & Dora Marinova & Michael McAleer, 2003. "Modelling the Asymmetric Volatility of Electronics Patents in the USA," CIRJE F-Series CIRJE-F-208, CIRJE, Faculty of Economics, University of Tokyo.
    • Handle: RePEc:tky:fseres:2003cf208
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    File URL: http://www.cirje.e.u-tokyo.ac.jp/research/dp/2003/2003cf208.pdf
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    References listed on IDEAS

    as
    1. Edwin Mansfield, 1995. "Innovation, Technology And The Economy," Books, Edward Elgar Publishing, volume 0, number 298.
    2. Ling, Shiqing & McAleer, Michael, 2003. "Asymptotic Theory For A Vector Arma-Garch Model," Econometric Theory, Cambridge University Press, vol. 19(2), pages 280-310, April.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Ng, Hock Guan & McAleer, Michael, 2004. "Recursive modelling of symmetric and asymmetric volatility in the presence of extreme observations," International Journal of Forecasting, Elsevier, vol. 20(1), pages 115-129.
    5. Ling, Shiqing & McAleer, Michael, 2002. "NECESSARY AND SUFFICIENT MOMENT CONDITIONS FOR THE GARCH(r,s) AND ASYMMETRIC POWER GARCH(r,s) MODELS," Econometric Theory, Cambridge University Press, vol. 18(3), pages 722-729, June.
    6. Michael McAleer & Les Oxley, 2002. "The Econometrics of Financial Time Series," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 237-243, July.
    7. repec:fth:harver:1473 is not listed on IDEAS
    8. Jeantheau, Thierry, 1998. "Strong Consistency Of Estimators For Multivariate Arch Models," Econometric Theory, Cambridge University Press, vol. 14(1), pages 70-86, February.
    9. Christopher Freeman, 996. "Long Wave Theory," Books, Edward Elgar Publishing, number 549.
    10. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    11. Ernst R. Berndt & Bronwyn H. Hall & Robert E. Hall & Jerry A. Hausman, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 653-665, National Bureau of Economic Research, Inc.
    12. repec:bla:jecsur:v:16:y:2002:i:3:p:245-69 is not listed on IDEAS
    13. Edwin Mansfield, 1986. "Patents and Innovation: An Empirical Study," Management Science, INFORMS, vol. 32(2), pages 173-181, February.
    14. Dora Marinova & Michael McAleer, 2002. "Trends and volatility in Japanese patenting in the USA: An analysis of the electronics and transport industries," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 171-187, August.
    15. W. K. Li & Shiqing Ling & Michael McAleer, 2002. "Recent Theoretical Results for Time Series Models with GARCH Errors," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 245-269, July.
    16. Daniel B. Nelson, 1994. "Asymptotically Optimal Smoothing with ARCH Models," NBER Technical Working Papers 0161, National Bureau of Economic Research, Inc.
    17. Ling, Shiqing & McAleer, Michael, 2002. "Stationarity and the existence of moments of a family of GARCH processes," Journal of Econometrics, Elsevier, vol. 106(1), pages 109-117, January.
    18. G. N. von Tunzelmann, 1995. "Technology and Industrial Progress," Books, Edward Elgar Publishing, number 437.
    19. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    20. McAleer, Michael & Chan, Felix & Marinova, Dora, 2007. "An econometric analysis of asymmetric volatility: Theory and application to patents," Journal of Econometrics, Elsevier, vol. 139(2), pages 259-284, August.
    21. Felix Chan & Michael McAleer, 2003. "Estimating smooth transition autoregressive models with GARCH errors in the presence of extreme observations and outliers," Applied Financial Economics, Taylor & Francis Journals, vol. 13(8), pages 581-592.
    22. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    23. Chris Freeman & Luc Soete, 1997. "The Economics of Industrial Innovation, 3rd Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262061953, April.
    24. Mason, Mark, 1997. "Europe and the Japanese Challenge: The Regulation of Multinationals in Comparative Perspective," OUP Catalogue, Oxford University Press, number 9780198292647.
    25. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Yu-Hui Wang & Tzu-han Chow, 2016. "Applying Patent Intelligence to Explore the Technology Evolution," Proceedings of International Academic Conferences 4006322, International Institute of Social and Economic Sciences.

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