This paper discusses two longstanding questions in growth econometrics which involve multiple hypothesis testing. In cross sectional GDP growth regressions many variables are simultaneously tested for significance. Similarly, when investigating pairwise convergence of output in panel data sets...

In this paper, we propose three new tests for serial correlation in the disturbances of fixed-effects panel data models. First, a modified Bhargava, Franzini and Narendranathan (1982) panel Durbin-Watson statistic that does not need to be tabulated as it follows a standard normal distribution....

This paper argues that typical applications of panel unit root tests should take possible nonstationarity in the volatility process of the innovations of the panel time series into account. Nonstationarity volatility arises for instance when there are structural breaks in the innovation...

While the limiting null distributions of cointegration tests are invariant to a certain amount of conditional heteroskedasticity as long as global homoskedasticity conditions are fulfilled, they are certainly affected when the innovations exhibit time-varying volatility. Worse yet, distortions...

In its decarbonization efforts, the European Union aims to decrease energy consumption through technological advances. One of the most prominent advances is the increased extension and utilization of digital information and communication technologies. However, there is little understanding of...

This paper proposes a fixed-effect panel methodology that enables us to simultaneously take into account both TFP convergence and the traditional neoclassical-type of convergence. We analyse a sample of 199 European regions between 1985 and 2006 and find the absence of an overall process of TFP...

The 2001 White Paper and its development in the 3rd European Road Safety Action Program, represent a turning point in the history of the European Road Safety Policy. The possible determinants of the road mortality in the EU over (2000-2009) are examined using a panel data. Our main finding is...