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International R&D Spillovers: An Application of Estimation and Inference in Panel

Author

Listed:
  • Min-Hsien Chiang

    (National Taiwan University of Science and Technology)

  • Chihwa Kao

    (Syracuse University)

  • Bangtian Chen

    (Security First Technologies)

Abstract

In this paper, we apply the asymptotic theory of panel cointegration developed by Kao and Chiang (1997) to Coe and Helpman's (1995) international R&D spillovers regression. The OLS with bias-correction, the fully-modified (FM) and the dynamic OLS (DOLS) estimations produce different predictions about the impact of foreign R&D on total factor productivity (TFP) although all the estimations support the result that domestic R&D is related to TFP.

Suggested Citation

  • Min-Hsien Chiang & Chihwa Kao & Bangtian Chen, 1997. "International R&D Spillovers: An Application of Estimation and Inference in Panel," International Trade 9712001, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpit:9712001
    Note: Type of Document - Tex ; prepared on IBM PC - SWP-TEX; to print on PostScript; pages: 23
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    Citations

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    Cited by:

    1. Bitzer, Jürgen & Kerekes, Monika, 2005. "Does Foreign Direct Investment Transfer Technology Across Borders? A Reexamination," Discussion Papers 2005/7, Free University Berlin, School of Business & Economics.

    More about this item

    Keywords

    International R&D Spillovers; Panel Data; OLS; FM; DOLS; Cointegration.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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