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Some Current Issues in the Statistical Analysis of Spillovers

Author

Listed:
  • Daniela Gumprecht

    (Department of Statistics and Decision Support Systems, University of Vienna)

  • Nicole Gumprecht

    (Department of Statistics and Decision Support Systems, University of Vienna)

  • Werner G. Müller

    () (Department of Statistics; Vienna University of Economics & B.A.)

Abstract

Spillover phenomena are usually statistically estimated on the basis of regional and temporal panel data. In this paper we review and investigate exploratory and confirmatory statistical panel data techniques. We illustrate the methods by calculations in the stetting of the well known Research and Development Spillover study by Coe and Helpman (1995). It will be demonstrated that alternative estimation techniques that are well compatible with the data can lead to opposite conclusions.

Suggested Citation

  • Daniela Gumprecht & Nicole Gumprecht & Werner G. Müller, 2003. "Some Current Issues in the Statistical Analysis of Spillovers," Working Papers geewp30, Vienna University of Economics and Business Research Group: Growth and Employment in Europe: Sustainability and Competitiveness.
    • Handle: RePEc:wiw:wiwgee:geewp30
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    References listed on IDEAS

    as
    1. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    2. Edmond, Chris, 2001. "Some Panel Cointegration Models of International R&D Spillovers," Journal of Macroeconomics, Elsevier, vol. 23(2), pages 241-260, April.
    3. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    4. 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.
    5. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    6. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Panel data; fixed effects; random coefficients; DOLS; R&D spillover;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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