EconPapers    
Economics at your fingertips  
 

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

Luigi Aldieri () and Concetto Paolo Vinci

International Journal of Economics and Finance, 2017, vol. 9, issue 7, 106-113

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.

Keywords: innovation; spillovers; quantile regression; knowledge diffusion (search for similar items in EconPapers)
JEL-codes: R00 Z0 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://ccsenet.org/journal/index.php/ijef/article/view/67814/37453 (application/pdf)
http://ccsenet.org/journal/index.php/ijef/article/view/67814 (text/html)

Related works:
Working Paper: Quantile regression for Panel data: An empirical approach for knowledge spillovers endogeneity (2017) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:ijefaa:v:9:y:2017:i:7:p:106-113

Access Statistics for this article

More articles in International Journal of Economics and Finance from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().

 
Page updated 2019-10-10
Handle: RePEc:ibn:ijefaa:v:9:y:2017:i:7:p:106-113