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On International Spillovers

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  • Bianco, Dominique
  • Niang, Abdou-Aziz

Abstract

This study investigates the role of international spillovers in generating productivity gains for a panel of 24 OECD countries during the period between 1971 and 2004. We use recent techniques developed in a common factor framework to characterize the global interdependence implied by international spillovers and the diffusion mechanisms involved. Consistently with some recent studies in this field, the evidence suggests that there are substantial cross-country spillovers mainly related to R&D and human capital variables, which contribute significantly to productivity.

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File URL: http://mpra.ub.uni-muenchen.de/41046/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 41046.

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Date of creation: Feb 2012
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Publication status: Forthcoming in Economics Letters 1.117(2012): pp. 280-282
Handle: RePEc:pra:mprapa:41046

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Keywords: Productivity; Spillovers; R&D; Human capital; Common factors;

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  1. Benoit Perron & Hyungsik Roger Moon, 2007. "An empirical analysis of nonstationarity in a panel of interest rates with factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 383-400.
  2. Robert J. Barro & Jong-Wha Lee, 2000. "International Data on Educational Attainment Updates and Implications," NBER Working Papers 7911, National Bureau of Economic Research, Inc.
  3. Aghion, P. & Howitt, P., 1989. "A Model Of Growth Through Creative Destruction," Working papers 527, Massachusetts Institute of Technology (MIT), Department of Economics.
  4. Coe, David T & Helpman, Elhanan & Hoffmaister, Alexander, 2008. "International R&D Spillovers and Institutions," CEPR Discussion Papers 6882, C.E.P.R. Discussion Papers.
  5. John Van Reenen & Rupert Harrison & Rachel Griffith, 2006. "How Special Is the Special Relationship? Using the Impact of U.S. R&D Spillovers on U.K. Firms as a Test of Technology Sourcing," American Economic Review, American Economic Association, vol. 96(5), pages 1859-1875, December.
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  7. Lin, Jianhao & Wang, Meijin & Cai, Lingfeng, 2012. "Are the Fama–French factors good proxies for latent risk factors? Evidence from the data of SHSE in China," Economics Letters, Elsevier, vol. 116(2), pages 265-268.
  8. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
  9. Markus Eberhardt & Christian Helmers & Hubert Strauss, . "Do Spillovers Matter When Estimating Private Returns to R&D?," Discussion Papers 11/22, University of Nottingham, GEP.
  10. Jushan Bai & Serena Ng, 2004. "Evaluating Latent and Observed Factors in Macroeconomics and Financ," Econometrics 0408007, EconWPA.
  11. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
  12. Antonio Musolesi, 2007. "R&D and productivity in 16 OECD countries: some heterogeneous panel estimations," Applied Economics Letters, Taylor & Francis Journals, vol. 14(7), pages 493-496.
  13. Lucas, Robert E, Jr, 1993. "Making a Miracle," Econometrica, Econometric Society, vol. 61(2), pages 251-72, March.
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Cited by:
  1. Carolina Guevara & Corinne Autant-Bernard, 2013. "Technological interdependence between south american countries : a spatial panel data growth model," Working Papers halshs-00803541, HAL.

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