Analyses of spatial or network data are now very common. Nevertheless, statistical inference is challenging since unobserved heterogeneity can be correlated across neighboring observational units. We develop an estimator for the variance-covariance matrix (VCV) of OLS and 2SLS that allows for...

This paper discusses global public goods related to the world';s land resources, their current provision and likely future provision, their potential impacts on the world's poorest households, as well as prospects for using foreign assistance to enhance these outcomes. Specifically, the paper...

This paper discusses global public goods related to the world';s land resources, their current provision and likely future provision, their potential impacts on the world's poorest households, as well as prospects for using foreign assistance to enhance these outcomes. Specifically, the paper...

This paper discusses global public goods related to the world.s land resources, their current provision and likely future provision, their potential impacts on the world.s poorest households, as well as prospects for using foreign assistance to enhance th

Big data analytics with the cloud computing are one of the emerging area for processing and analytics. Fog computing is the paradigm where fog devices help to reduce latency and increase throughput for assisting at the edge of the client. This article discusses the emergence of fog computing for...