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A data set for domestic and foreign private and public R&D stocks and labour-augmenting technical change for 44 rich or emerging economies with explorations on panel unit roots, cointegration, growth rate slowdown, and con- or divergence

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  • Ziesemer, Thomas

    (Mt Economic Research Inst on Innov/Techn, RS: GSBE MORSE)

Abstract

We extend existing data sets for domestic and foreign private and public R&D stocks as well as labour-augmenting technical change data based on CES production functions. We cover slightly more periods and many more countries, now 44 up from 17. We consider panel unit root issues for a large sample of 41 countries and two smaller samples with 21 rich and 20 emerging economies. Autoregressive regressions show negative time trends in the growth rates of labour-augmenting technical change, domestic private and domestic and foreign public R&D stocks indicating the growth slowdown in the data period; foreign private R&D has a positive time trend. Cross-section dependence and cointegration tests support only triples of variables for the set of 21 countries with long data series. Coefficients of variations, calculated across countries for each year, show no or temporary signs of (in)equality trends for growth rates of private and public R&D, and productivity.

Suggested Citation

  • Ziesemer, Thomas, 2025. "A data set for domestic and foreign private and public R&D stocks and labour-augmenting technical change for 44 rich or emerging economies with explorations on panel unit roots, cointegration, growth ," MERIT Working Papers 2025-018, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    • Handle: RePEc:unm:unumer:2025018
    DOI: 10.53330/IRZP8539
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    References listed on IDEAS

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    1. Eaton, Jonathan & Kortum, Samuel, 1997. "Engines of growth: Domestic and foreign sources of innovation," Japan and the World Economy, Elsevier, vol. 9(2), pages 235-259, May.
    2. Thomas H. W. Ziesemer, 2022. "Foreign R&D spillovers to the USA and strategic reactions," Applied Economics, Taylor & Francis Journals, vol. 54(37), pages 4274-4291, August.
    3. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    4. Hande Karabiyik & Franz C. Palm & Jean-Pierre Urbain, 2019. "Econometric Analysis of Panel Data Models with Multifactor Error Structures," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 495-522, August.
    5. Seung C. Ahn & Alex R. Horenstein, 2013. "Eigenvalue Ratio Test for the Number of Factors," Econometrica, Econometric Society, vol. 81(3), pages 1203-1227, May.
    6. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    7. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    8. Huang, Chien-Yu & Lai, Ching-Chong & Peretto, Pietro F., 2025. "Public R&D, private R&D and growth: A Schumpeterian approach," Journal of Economic Behavior & Organization, Elsevier, vol. 236(C).
    9. 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.
    10. 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.
    11. Luc L. G. Soete & Bart Verspagen & Thomas H. W. Ziesemer, 2020. "The productivity effect of public R&D in the Netherlands," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 29(1), pages 31-47, January.
    12. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    13. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    14. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    15. Thomas H. W. Ziesemer, 2024. "Public R&D and Growth: A Dynamic Panel Vector-Error-Correction Model Analysis for 14 OECD Countries," Economies, MDPI, vol. 12(8), pages 1-33, August.
    16. Thomas Ziesemer, 2023. "Labour-augmenting technical change data for alternative elasticities of substitution: growth, slowdown, and distribution dynamics," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(4), pages 449-475, May.
    17. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    18. Rainer Klump & Peter McAdam & Alpo Willman, 2007. "Factor Substitution and Factor-Augmenting Technical Progress in the United States: A Normalized Supply-Side System Approach," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 183-192, February.
    19. Mario Coccia, 2010. "Public and Private Investment in R&D: Complementary Effects and Interaction with Productivity Growth [Investimento pubblico e privato: in R&S: complementarietà ed interazione con la crescita della ," Post-Print hal-03468720, HAL.
    20. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5, July.
    21. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575, January.
    22. Dávila-Fernández, Marwil J. & Oreiro, José L. & Dávila Dávila, Mario W., 2018. "Endogenizing non-price competitiveness in a BoPC growth model with capital accumulation," Structural Change and Economic Dynamics, Elsevier, vol. 44(C), pages 77-87.
    23. Eaton, Jonathan & Kortum, Samuel, 1999. "International Technology Diffusion: Theory and Measurement," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 537-570, August.
    24. Roel van Elk & Bas ter Weel & Karen van der Wiel & Bram Wouterse, 2019. "Estimating the Returns to Public R&D Investments: Evidence from Production Function Models," De Economist, Springer, vol. 167(1), pages 45-87, March.
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    JEL classification:

    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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