panel cointegration for copula-based multivariate models to justify international r&d spillovers

In this paper we develop a new methodology to measure and to analysis panel Cointegration. Our new approach proposes one copula-based test for testing cross-sectional independence of panel models. To justify international R&D Spillover, we adopt a copula based multivariate model as a new approach, it is important to test the cross-sectional dependence in panel models because the existence of cross-sectional dependence will invalidate conventional tests such as t-tests and F-tests which use standard covariance estimators of parameters estimators. Estimation methods depend on the existing of cross-sectional in the error of panel models