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Equity Prices, Productivity Growth, And ‘The New Economy’

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  • Jakob B Madsen
  • E Philip Davis

Abstract

The increase in equity prices over the 1990s has to a large degree been attributed to permanently higher productivity growth that is derived from the ‘new economy’ and related research and development (R&D) expenditures. This paper establishes a rational expectations model of technology innovations and equity prices, which shows that under plausible assumptions,productivity advances can only have temporary effects on fundamentals of equity prices. Using data on R&D capital and fixed capital productivity for 11 OECD countries, the evidence give strong support for the model by suggesting that technology innovations indeed have only temporary effects on equity returns.

Suggested Citation

  • Jakob B Madsen & E Philip Davis, 2003. "Equity Prices, Productivity Growth, And ‘The New Economy’," Public Policy Discussion Papers 03-04, Economics and Finance Section, School of Social Sciences, Brunel University.
  • Handle: RePEc:bru:bruppp:03-04
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    1. Ellen R. McGrattan & Edward C. Prescott, 2003. "Average Debt and Equity Returns: Puzzling?," American Economic Review, American Economic Association, vol. 93(2), pages 392-397, May.
    2. Robert J. Gordon, 2004. "Five Puzzles in the Behavior of Productivity, Investment, and Innovation," NBER Working Papers 10660, National Bureau of Economic Research, Inc.
    3. Zvi Griliches, 1998. "Productivity, R&D, and the Data Constraint," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 347-374, National Bureau of Economic Research, Inc.
    4. A. Bhargava & L. Franzini & W. Narendranathan, 2006. "Serial Correlation and the Fixed Effects Model," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 4, pages 61-77, World Scientific Publishing Co. Pte. Ltd..
    5. Andrew Ang & Geert Bekaert, 2007. "Stock Return Predictability: Is it There?," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 651-707.
    6. Jason G. Cummins, 2005. "A New Approach to the Valuation of Intangible Capital," NBER Chapters, in: Measuring Capital in the New Economy, pages 47-72, National Bureau of Economic Research, Inc.
    7. Pesaran, M Hashem & Timmermann, Allan, 2000. "A Recursive Modelling Approach to Predicting UK Stock Returns," Economic Journal, Royal Economic Society, vol. 110(460), pages 159-191, January.
    8. Robert J. Gordon, 2000. "Does the "New Economy" Measure Up to the Great Inventions of the Past?," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 49-74, Fall.
    9. Boyan Jovanovic & Jeremy Greenwood, 1999. "The Information-Technology Revolution and the Stock Market," American Economic Review, American Economic Association, vol. 89(2), pages 116-122, May.
    10. Fama, Eugene F, 1981. "Stock Returns, Real Activity, Inflation, and Money," American Economic Review, American Economic Association, vol. 71(4), pages 545-565, September.
    11. John Y. Campbell & Robert J. Shiller, 2001. "Valuation Ratios and the Long-Run Stock Market Outlook: An Update," NBER Working Papers 8221, National Bureau of Economic Research, Inc.
    12. 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.
    13. Nasseh, Alireza & Strauss, Jack, 2000. "Stock prices and domestic and international macroeconomic activity: a cointegration approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(2), pages 229-245.
    14. Megna, Pamela & Klock, Mark, 1993. "The Impact on Intangible Capital on Tobin's q in the Semiconductor Industry," American Economic Review, American Economic Association, vol. 83(2), pages 265-269, May.
    15. Dale W. Jorgenson, 2001. "Information Technology and the U.S. Economy," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 5(1), pages 3-34.
    16. Bipasa Datta & Huw Dixon, 2002. "Technological Change, Entry, and Stock-Market Dynamics: An Analysis of Transition in a Monopolistic Industry," American Economic Review, American Economic Association, vol. 92(2), pages 231-235, May.
    17. Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
    18. Amit Goyal & Ivo Welch, 2003. "Predicting the Equity Premium with Dividend Ratios," Management Science, INFORMS, vol. 49(5), pages 639-654, May.
    19. Schwert, G William, 1990. "Stock Returns and Real Activity: A Century of Evidence," Journal of Finance, American Finance Association, vol. 45(4), pages 1237-1257, September.
    20. Ravi Jagannathan & Ellen R. McGrattan & Anna Scherbina, 2000. "The declining U.S. equity premium," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 24(Fall), pages 3-19.
    21. Amit Goyal & Ivo Welch, 2003. "Predicting the Equity Premium with Dividend Ratios," Management Science, INFORMS, vol. 49(5), pages 639-654, May.
    22. Fama, Eugene F, 1990. "Stock Returns, Expected Returns, and Real Activity," Journal of Finance, American Finance Association, vol. 45(4), pages 1089-1108, September.
    23. MacDonald, Ronald & Power, David, 1995. "Stock prices, dividends and retention: Long-run relationships and short-run dynamics," Journal of Empirical Finance, Elsevier, vol. 2(2), pages 135-151, June.
    24. Bart Hobijn & Boyan Jovanovic, 2001. "The Information-Technology Revolution and the Stock Market: Evidence," American Economic Review, American Economic Association, vol. 91(5), pages 1203-1220, December.
    25. Hulten, Charles R, 1975. "Technical Change and the Reproducibility of Capital," American Economic Review, American Economic Association, vol. 65(5), pages 956-965, December.
    26. Carlota Perez, 2002. "Technological Revolutions and Financial Capital," Books, Edward Elgar Publishing, number 2640.
    27. Lawrence H. Summers, 1981. "Taxation and Corporate Investment: A q-Theory Approach," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 12(1), pages 67-140.
    28. Bipasa Datta & Huw D. Dixon, 2002. "Technological Change, Entry and Stock Market Dynamics: An Analysis of Transition in a Monopolistic Economy," CESifo Working Paper Series 641, CESifo.
    29. Abel, Andrew B., 1982. "Dynamic effects of permanent and temporary tax policies in a q model of investment," Journal of Monetary Economics, Elsevier, vol. 9(3), pages 353-373.
    30. Alessandra Colecchia & Paul Schreyer, 2002. "ICT Investment and Economic Growth in the 1990s: Is the United States a Unique Case? A Comparative Study of Nine OECD Countries," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 408-442, April.
    31. Michael T. Kiley, 2000. "Stock prices and fundamentals in a production economy," Finance and Economics Discussion Series 2000-05, Board of Governors of the Federal Reserve System (U.S.).
    32. Donald Robertson & Stephen Wright, 2006. "Dividends, Total Cash Flow to Shareholders, and Predictive Return Regressions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 91-99, February.
    33. Balvers, Ronald J & Cosimano, Thomas F & McDonald, Bill, 1990. "Predicting Stock Returns in an Efficient Market," Journal of Finance, American Finance Association, vol. 45(4), pages 1109-1128, September.
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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G3 - Financial Economics - - Corporate Finance and Governance
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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