A spatial dynamic panel data approach is adopted to study regional growth convergence in the U.S. economy. In the neoclassical growth model, regions and countries are assumed to be independent from each other, which may not be valid in the real world. We introduce technological spillovers into the neoclassical framework, showing that the convergence rate is higher and there is spatial interacti...

This paper shows nonparametric identification of dynamic panel data models with nonseparable heterogeneity and dynamic selection by nonparametrically differencing out these two sources of bias. For T = 3, the model is identified by using a proxy variable. For T = 6, the three additional periods construct the proxy to establish identification. As a consequence of these identification results, a ...

This paper reexamines the determinants of firm performance and, in particular, the role that firm size plays in profitability. A fixed-effects dynamic panel data model for over 7,000 US publicly-held firms during the period 1987–2006 provides evidence that profit rates are positively correlated with firm size in a non-linear manner, holding an array of firmand industry-specific characteristics ...

In the present note we demonstrate how to implement the Lee and Yu (2010) procedure for fixed effects spatial panel data models available from the R (R Development Core Team 2012) package splm (Millo and Piras 2012). Additionally, we also show how to compute the impact estimates introduced by Kelejian, Tavlas, and Hondroyiannis (2006) and formalized in LeSage and Pace (2009). Unlike Matlab (MAT...