IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/56718.html
   My bibliography  Save this paper

International R&D Spillovers and Unobserved Common Shocks

Author

Listed:
  • Ruge-Leiva, Diego-Ivan

Abstract

This paper investigates whether returns to domestic R&D and international R&D spillovers should be estimated without considering the heterogeneous impact of unobserved common shocks, as has been done by the literature in this area. Using a panel of 50 economies from 1970-2011, I find that when unobserved common shocks are disregarded, estimates of domestic R&D and foreign R&D weighted by bilateral imports might be biased and inconsistent. Once unobserved common factors are accounted for, by allowing for heterogeneous technology coefficients, significant estimates become more sizable, consistent and not seriously biased in most cases. However, these estimates might be capturing not only returns to domestic R&D and trade-related knowledge spillovers, but also unobserved common spillovers and other effects. This indicates that knowledge spillovers and effects of unknown form cannot be easily separated. Therefore, unobserved common shocks should not be ignored when estimating returns to domestic R&D and international R&D spillovers.

Suggested Citation

  • Ruge-Leiva, Diego-Ivan, 2014. "International R&D Spillovers and Unobserved Common Shocks," MPRA Paper 56718, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:56718
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/56718/1/MPRA_paper_56718.pdf
    File Function: original version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/56788/1/MPRA_paper_56788.pdf
    File Function: revised version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/57783/1/MPRA_paper_57783.pdf
    File Function: revised version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/56792/1/MPRA_paper_56792.pdf
    File Function: revised version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/56847/1/MPRA_paper_56847.pdf
    File Function: revised version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/56846/1/MPRA_paper_56846.pdf
    File Function: revised version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/56886/1/MPRA_paper_56846.pdf
    File Function: revised version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/57392/1/MPRA_paper_57392.pdf
    File Function: revised version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/57456/1/MPRA_paper_57456.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
    2. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    3. Chihwa Kao & Min‐Hsien Chiang & Bangtian Chen, 1999. "International R&D Spillovers: An Application of Estimation and Inference in Panel Cointegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 691-709, November.
    4. Park, Jungsoo, 2004. "International student flows and R&D spillovers," Economics Letters, Elsevier, vol. 82(3), pages 315-320, March.
    5. Mr. David T. Coe & Mr. Willy A Hoffmaister, 1999. "Are There International R&D Spillovers Among Randomly Matched Trade Partners? A Response to Keller," IMF Working Papers 1999/018, International Monetary Fund.
    6. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2016. "Exponent of Cross‐Sectional Dependence: Estimation and Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 929-960, September.
    7. Georges Bresson & Badi H. Baltagi & Alain Pirotte, 2007. "Panel unit root tests and spatial dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 339-360.
    8. Zvi Griliches, 1998. "Productivity, R&D, and Basic Research at the Firm Level in the 1970s," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 82-99, National Bureau of Economic Research, Inc.
    9. Edmond, Chris, 2001. "Some Panel Cointegration Models of International R&D Spillovers," Journal of Macroeconomics, Elsevier, vol. 23(2), pages 241-260, April.
    10. Keller, Wolfgang, 1998. "Are international R&D spillovers trade-related?: Analyzing spillovers among randomly matched trade partners," European Economic Review, Elsevier, vol. 42(8), pages 1469-1481, September.
    11. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    12. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2013. "Debt, inflation and growth robust estimation of long-run effects in dynamic panel data models," Globalization Institute Working Papers 162, Federal Reserve Bank of Dallas.
    13. Lederman, Daniel & Saenz, Laura, 2005. "Innovation and development around the world, 1960-2000," Policy Research Working Paper Series 3774, The World Bank.
    14. Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2016. "A Two‐Stage Approach to Spatio‐Temporal Analysis with Strong and Weak Cross‐Sectional Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 249-280, January.
    15. Keller, Wolfgang, 2010. "International Trade, Foreign Direct Investment, and Technology Spillovers," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 793-829, Elsevier.
    16. Mark Funk, 2001. "Trade and International R&D Spillovers among OECD Countries," Southern Economic Journal, John Wiley & Sons, vol. 67(3), pages 725-736, January.
    17. Nick Bloom, 2007. "Uncertainty and the Dynamics of R&D," American Economic Review, American Economic Association, vol. 97(2), pages 250-255, May.
    18. Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
    19. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
    20. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    21. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    22. Donald W. K. Andrews, 2005. "Cross-Section Regression with Common Shocks," Econometrica, Econometric Society, vol. 73(5), pages 1551-1585, September.
    23. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    24. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    25. Nick Bloom & Stephen Bond & John Van Reenen, 2007. "Uncertainty and Investment Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(2), pages 391-415.
    26. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45, National Bureau of Economic Research, Inc.
    27. Engelbrecht, Hans-Jurgen, 1997. "International R&D spillovers, human capital and productivity in OECD economies: An empirical investigation," European Economic Review, Elsevier, vol. 41(8), pages 1479-1488, August.
    28. Alexander Chudik & M. Hashem Pesaran, 2013. "Large Panel Data Models with Cross-Sectional Dependence: A Survey," CESifo Working Paper Series 4371, CESifo.
    29. Dominique Guellec & Bruno Van Pottelsberghe de la Potterie, 2004. "From R&D to Productivity Growth: Do the Institutional Settings and the Source of Funds of R&D Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 353-378, July.
    30. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    31. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    32. Griliches, Zvi, 1998. "R&D and Productivity," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226308869.
    33. Zvi Griliches, 1998. "Productivity and R&D at the Firm Level," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 100-133, National Bureau of Economic Research, Inc.
    34. Zvi Griliches, 1998. "R&D and Productivity: The Econometric Evidence," NBER Books, National Bureau of Economic Research, Inc, number gril98-1.
    35. repec:bla:obuest:v:61:y:1999:i:0:p:691-709 is not listed on IDEAS
    36. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LP, vol. 12(1), pages 61-71, March.
    37. Lei Zhu & Bang Nam Jeon, 2007. "International R&D Spillovers: Trade, FDI, and Information Technology as Spillover Channels," Review of International Economics, Wiley Blackwell, vol. 15(5), pages 955-976, November.
    38. Kul B. Luintel & Mosahid Khan, 2004. "Are International R&D Spillovers Costly for the United States?," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 896-910, November.
    39. Bruno Van Pottelsberghe De La Potterie & Frank Lichtenberg, 2001. "Does Foreign Direct Investment Transfer Technology Across Borders?," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 490-497, August.
    40. Bravo-Ortega, Claudio & García Marín, Álvaro, 2011. "R&D and Productivity: A Two Way Avenue?," World Development, Elsevier, vol. 39(7), pages 1090-1107, July.
    41. Peter J. Klenow & Andrés Rodríguez-Clare, 1997. "The Neoclassical Revival in Growth Economics: Has It Gone Too Far?," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 73-114, National Bureau of Economic Research, Inc.
    42. Francesco Moscone & Elisa Tosetti, 2009. "A Review And Comparison Of Tests Of Cross‐Section Independence In Panels," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 528-561, July.
    43. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    44. repec:hal:journl:peer-00796743 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ruge Leiva, Diego Ivan, 2015. "International R&D Spillovers and other Unobserved Common Spillovers and Shocks," MPRA Paper 63500, University Library of Munich, Germany.
    2. Markus Eberhardt & Christian Helmers & Hubert Strauss, 2013. "Do Spillovers Matter When Estimating Private Returns to R&D?," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 436-448, May.
    3. Ruge-Leiva, Diego-Ivan, 2015. "The Online Supplement to “International R&D Spillovers and other Unobserved Common Spillovers and Shocks”," MPRA Paper 62205, University Library of Munich, Germany.
    4. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    5. Cem Ertur & Antonio Musolesi, 2014. "Dépendance individuelle forte et faible : une analyse en données de panel de la diffusion internationale de la technologie," Working Papers halshs-01015208, HAL.
    6. Gioldasis, Georgios & Musolesi, Antonio & Simioni, Michel, 2023. "Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection," International Journal of Forecasting, Elsevier, vol. 39(1), pages 144-169.
    7. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: An estimation strategy based on forecasting-driven model selection," SEEDS Working Papers 0621, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2021.
    8. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: an estimation strategy based on forecasting-driven model selection," Working Papers hal-03224910, HAL.
    9. Cern Ertur & Antonio Musolesi, 2012. "Spatial autoregressive spillovers vs unobserved common factors models. A panel data analysis of international technology diffusion," INRA UMR CESAER Working Papers 2012/9, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    10. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    11. Delwar Hossain, 2014. "Differential Impacts of Foreign Capital and Remittance Inflows on Domestic Savings in the Developing Countries: A Dynamic Heterogeneous Panel Analysis," Departmental Working Papers 2014-07, The Australian National University, Arndt-Corden Department of Economics.
    12. Philip Kerner & Torben Klarl & Tobias Wendler, 2021. "Green Technologies, Environmental Policy and Regional Growth," Bremen Papers on Economics & Innovation 2104, University of Bremen, Faculty of Business Studies and Economics.
    13. Coe, David T. & Helpman, Elhanan & Hoffmaister, Alexander W., 2009. "International R&D spillovers and institutions," European Economic Review, Elsevier, vol. 53(7), pages 723-741, October.
    14. Markus Eberhardt & Andrea Filippo Presbitero, 2013. "This Time They're Different: Heterogeneity;and Nonlinearity in the Relationship;between Debt and Growth," Mo.Fi.R. Working Papers 92, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    15. Markus Eberhardt & Francis Teal, 2008. "Modeling Technology and Technological Change in Manufacturing: How do Countries Differ?," CSAE Working Paper Series 2008-12, Centre for the Study of African Economies, University of Oxford.
    16. Ioannis Bournakis & Dimitris Christopoulos & Sushanta Mallick, 2018. "Knowledge Spillovers And Output Per Worker: An Industry‐Level Analysis For Oecd Countries," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 1028-1046, April.
    17. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    18. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2021. "Renewable electricity and economic growth relationship in the long run: Panel data econometric evidence from the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 330-341.
    19. Skare, Marinko & Ozturk, Ilhan & Porada-Rochoń, Małgorzata & Stjepanovic, Sasa, 2024. "Energy as the new frontier: Dynamic panel data analysis revealing energy's transformative role in economic growth and technological progress," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    20. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.

    More about this item

    Keywords

    Productivity; Spillovers; Cross-Section Dependence; Unobserved Common Shocks.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:56718. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.