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An empirical investigation of the determinants of R&D cooperation: An application of the inverse hyperbolic sine transformation

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  • Carboni, Oliviero A.

Abstract

This paper applies the Inverse Hyperbolic Sine (IHS) transformation to explore the variables that determine a firm’s R&D collaborative expenditure. The IHS specification is used to overcome the inconsistencies deriving from non-normality of error terms which are typical in censored data. This represents a novelty in R&D studies. The sample employed refers to 1231 Italian firms where the dependent variable under investigation is strongly skewed by the zero values and by the extreme observations. The results show that standard errors are smaller in the IHS model than in the more common logarithmic one. The analysis also shows that size and public grants are effective in determining the level of cooperative R&D expenditure. Absorptive capacity, outsourcing inputs or services externally and the industry, also play an important role.

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  • Carboni, Oliviero A., 2012. "An empirical investigation of the determinants of R&D cooperation: An application of the inverse hyperbolic sine transformation," Research in Economics, Elsevier, vol. 66(2), pages 131-141.
  • Handle: RePEc:eee:reecon:v:66:y:2012:i:2:p:131-141
    DOI: 10.1016/j.rie.2012.01.002
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    3. Chiara Franco & Manuela Gussoni, 2014. "The role of firm and national level factors in fostering R&D cooperation: a cross country comparison," The Journal of Technology Transfer, Springer, vol. 39(6), pages 945-976, December.
    4. Victor Lavric, 2012. "The Dynamics Of R&D Activities In Romania Within The European Context," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 6(1), pages 648-654, November.
    5. OA Carboni & G. Medda, 2017. "Do Investment and Innovation Boost Export? An Analysis on European Firms," Working Paper CRENoS 201708, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    6. Ghislain B. D. Aïhounton & Arne Henningsen, 2019. "Units of Measurement and the Inverse Hyperbolic Sine Transformation," IFRO Working Paper 2019/10, University of Copenhagen, Department of Food and Resource Economics.
    7. Hueth, Brent M. & Hutchins, Jared, 2018. "Production Credit Associations and Agricultural Productivity Change in the United States, 1920-1940," 2018 Annual Meeting, August 5-7, Washington, D.C. 274384, Agricultural and Applied Economics Association.
    8. POPA Ion & LAVRIC Victor, 2013. "Managerial Methods Stimulating New Ideas Or Creativity In Romania Wihin The European Context," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 65(6), pages 128-138.
    9. Amoroso, S., 2013. "Heterogeneity of innovative, collaborative, and productive firm-level processes," Other publications TiSEM f5784a49-7053-401d-855d-1, Tilburg University, School of Economics and Management.
    10. David Powell & Seth Seabury, 2018. "Medical Care Spending and Labor Market Outcomes: Evidence from Workers' Compensation Reforms," American Economic Review, American Economic Association, vol. 108(10), pages 2995-3027, October.
    11. David Powell, 2020. "Does Labor Supply Respond to Transitory Income? Evidence from the Economic Stimulus Payments of 2008," Journal of Labor Economics, University of Chicago Press, vol. 38(1), pages 1-38.
    12. G. Medda & OA Carboni, 2019. "External R&D Acquisition and Product Innovation," Working Paper CRENoS 201906, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    13. Sara Amoroso, 2014. "The hidden costs of R&D collaboration," JRC Working Papers on Corporate R&D and Innovation 2014-02, Joint Research Centre (Seville site).
    14. David Aristei & Michela Vecchi & Francesco Venturini, 2016. "University and inter-firm R&D collaborations: propensity and intensity of cooperation in Europe," The Journal of Technology Transfer, Springer, vol. 41(4), pages 841-871, August.

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