Focus is on efficient estimation of a dynamic space-time panel data model that incorporates spatial dependence, temporal dependence, as well as space-time covariance and can be implemented in large N and T situations, where N is the number of spatial units and T the number of time periods....

We apply a heterogenous coefficient spatial autoregressive panel model from Aquaro, Bailey and Pesaran (2015) to explore competition/cooperation by Berlin fueling stations in setting prices for diesel and E5 fuel. Unlike the maximum likelihood estimation method set forth by Aquaro, Bailey and...

The Developing Hispanic-Serving Institution (DHSI) Program is one of the largest federal grant programs that support Hispanic-Serving Institutions. We employ an eleven-year panel dataset of U.S. higher education institutions to implement a difference-in-differences (DID) design, two-way fixed...