IDEAS home Printed from https://ideas.repec.org/p/fgv/eesptd/245.html
   My bibliography  Save this paper

Human capital and innovation: evidence from panel cointegration tests

Author

Listed:
  • Joiozo, Renato Silveira
  • Teles, Vladimir Kuhl

Abstract

Panel cointegration techniques applied to pooled data for 27 economies for the period 1960-2000 indicate that: i) government spending in education and innovation indicators are cointegrated; ii) education hierarchy is relevant when explaining innovation; and iii) the relation between education and innovation can be obtained after an accommodation of a level structural break.

Suggested Citation

  • Joiozo, Renato Silveira & Teles, Vladimir Kuhl, 2010. "Human capital and innovation: evidence from panel cointegration tests," Textos para discussão 245, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
  • Handle: RePEc:fgv:eesptd:245
    as

    Download full text from publisher

    File URL: https://repositorio.fgv.br/bitstreams/8dce13dd-9ecd-4eb1-b7f6-7ac0bf5f2fd9/download
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joakim Westerlund, 2006. "Testing for Panel Cointegration with Multiple Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(1), pages 101-132, February.
    2. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    3. Daniel Cohen & Marcelo Soto, 2007. "Growth and human capital: good data, good results," Journal of Economic Growth, Springer, vol. 12(1), pages 51-76, March.
    4. Suzanne McCoskey & Chihwa Kao, 1997. "A Monte Carlo Comparison of Tests for Cointegration in Panel Data," Econometrics 9712002, University Library of Munich, Germany.
    5. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-563, July.
    6. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    7. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    8. Jérôme Vandenbussche & Philippe Aghion & Costas Meghir, 2006. "Growth, distance to frontier and composition of human capital," Journal of Economic Growth, Springer, vol. 11(2), pages 97-127, June.
    9. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
    10. Suzanne McCoskey & Chihwa Kao, 1998. "A residual-based test of the null of cointegration in panel data," Econometric Reviews, Taylor & Francis Journals, vol. 17(1), pages 57-84.
    11. 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.
    12. Peter J. Klenow & Mark Bils, 2000. "Does Schooling Cause Growth?," American Economic Review, American Economic Association, vol. 90(5), pages 1160-1183, December.
    13. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    14. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    15. Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-193, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. shah, Muhammad ibrahim, 2019. "Fostering innovation in South Asia: Evidence from FMOLS and Causality analysis," MPRA Paper 96193, University Library of Munich, Germany.
    2. Bekhet, Hussain Ali & Latif, Nurul Wahilah Abdul, 2018. "The impact of technological innovation and governance institution quality on Malaysia's sustainable growth: Evidence from a dynamic relationship," Technology in Society, Elsevier, vol. 54(C), pages 27-40.
    3. Pu‐yan Nie & Yong‐cong Yang, 2023. "Innovation and competition with human capital input," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1779-1785, April.
    4. Alvarado, Rafael & Murshed, Muntasir & Cifuentes-Faura, Javier & Işık, Cem & Razib Hossain, Mohammad & Tillaguango, Brayan, 2023. "Nexuses between rent of natural resources, economic complexity, and technological innovation: The roles of GDP, human capital and civil liberties," Resources Policy, Elsevier, vol. 85(PA).
    5. Polona Domadenik & Dasa Farcnik, 2012. "The Role of the Education System and On-the-Job Training in Innovation: Evidence from the Slovenian Manufacturing and Service Sector," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 14(1), pages 43-67, April.

    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. Valérie Mignon & Christophe Hurlin, 2007. "Une synthèse des tests de cointégration sur données de panel," Économie et Prévision, Programme National Persée, vol. 180(4), pages 241-265.
    2. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    3. In Choi, 2012. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    4. Tarlok Singh, 2017. "Are Current Account Deficits in the OECD Countries Sustainable? Robust Evidence from Time-Series Estimators," The International Trade Journal, Taylor & Francis Journals, vol. 31(1), pages 29-64, January.
    5. Joakim Westerlund, 2006. "Testing for Panel Cointegration with Multiple Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(1), pages 101-132, February.
    6. Luciano Gutierrez, 2005. "Tests for cointegration in panels with regime shifts," Econometrics 0505007, University Library of Munich, Germany.
    7. Suwastika Naidu, 2016. "Does Human Development Influence Women’s Labour Force Participation Rate? Evidences from the Fiji Islands," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 1067-1084, July.
    8. Rapach, David E. & Weber, Christian E., 2004. "Are real interest rates really nonstationary? New evidence from tests with good size and power," Journal of Macroeconomics, Elsevier, vol. 26(3), pages 409-430, September.
    9. Liu, De-Chih, 2014. "The link between unemployment and labor force participation rates in Japan: A regional perspective," Japan and the World Economy, Elsevier, vol. 30(C), pages 52-58.
    10. Samih Antoine Azar & Angelic Salha, 2017. "The Bias in the Long Run Relation between the Prices of BRENT and West Texas Intermediate Crude Oils," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 44-54.
    11. Ketenci, Natalya, 2014. "The Feldstein –Horioka Puzzle and structural breaks: Evidence from the largest countries of Asia," MPRA Paper 54660, University Library of Munich, Germany.
    12. Natalya Ketenci, 2016. "The Feldstein–Horioka Puzzle and Structural Breaks: Evidence from the Largest Countries of Asia," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 10(3), pages 337-354, August.
    13. Ketenci, Natalya, 2013. "The Feldstein–Horioka puzzle in groupings of OECD members: A panel approach," Research in Economics, Elsevier, vol. 67(1), pages 76-87.
    14. Castelló-Climent, Amparo & Mukhopadhyay, Abhiroop, 2013. "Mass education or a minority well educated elite in the process of growth: The case of India," Journal of Development Economics, Elsevier, vol. 105(C), pages 303-320.
    15. Wilton Bernardino & João B. Amaral & Nelson L. Paes & Raydonal Ospina & José L. Távora, 2022. "A statistical investigation of a stock valuation model," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
    16. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    17. Esra N. Kılcı & Burcu Kıran Baygın, 2019. "Analysis of the Relationship between Real Effective Exchange Rate, Common Equity Tier 1 Ratio and Return on Equity: Evidence from Turkey," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 7(2), pages 319-332, December.
    18. Martin T. Bohl & Alexander Pütz & Pierre L. Siklos & Christoph Sulewski, 2018. "Information Transmission under Increasing Political Tension – Evidence for the Berlin Produce Exchange 1887-1896," CQE Working Papers 7618, Center for Quantitative Economics (CQE), University of Muenster.
    19. Kim, Dukpa & Oka, Tatsushi & Estrada, Francisco & Perron, Pierre, 2020. "Inference related to common breaks in a multivariate system with joined segmented trends with applications to global and hemispheric temperatures," Journal of Econometrics, Elsevier, vol. 214(1), pages 130-152.
    20. Rapach, David E. & Wohar, Mark E., 2004. "Testing the monetary model of exchange rate determination: a closer look at panels," Journal of International Money and Finance, Elsevier, vol. 23(6), pages 867-895, October.

    More about this item

    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:fgv:eesptd:245. 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/eegvfbr.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.