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Quantile Regression for Panel Data: An Empirical Approach for Knowledge Spillovers Endogeneity

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  • Luigi Aldieri
  • Concetto Paolo Vinci

Abstract

The aim of this paper is to investigate the extent to which knowledge spillovers effects are sensitive to different levels of innovation. We develop a theoretical model in which the core of spillover effect is showed and then we implement the empirical model to test for the results. In particular, we run the quantile regression for panel data estimator (Baker, Powell, & Smith, 2016), to correct the bias stemming from the endogenous regressors in a panel data sample. The findings identify a significant heterogeneity of technology spillovers across quantiles: the highest value of spillovers is observed at the lowest quartile of innovation distribution. The results might be interpreted to provide some useful implications for industrial policy strategy.

Suggested Citation

  • Luigi Aldieri & Concetto Paolo Vinci, 2017. "Quantile Regression for Panel Data: An Empirical Approach for Knowledge Spillovers Endogeneity," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(7), pages 106-113, July.
  • Handle: RePEc:ibn:ijefaa:v:9:y:2017:i:7:p:106-113
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    References listed on IDEAS

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    3. Sabeeh Ullah, 2023. "Impact of COVID-19 Pandemic on Financial Markets: a Global Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 982-1003, June.
    4. Fu, Guomin & Zhu, Sijia, 2023. "Innovation, financial risk and natural resources for sustainable development: Fresh evidence from BRICS economies," Resources Policy, Elsevier, vol. 80(C).
    5. João Leitão & João Capucho, 2021. "Institutional, Economic, and Socio-Economic Determinants of the Entrepreneurial Activity of Nations," Administrative Sciences, MDPI, vol. 11(1), pages 1-32, March.
    6. Ayoola Tajudeen John & Obokoh Lawrence Ogechukwu, 2018. "Corporate Governance and Financial Distress in the Banking Industry: Nigerian Experience," Journal of Economics and Behavioral Studies, AMH International, vol. 10(1), pages 182-193.

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    More about this item

    Keywords

    innovation; spillovers; quantile regression; knowledge diffusion;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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