Spatial econometrics addresses the challenges posed by spatially correlated data, enabling researchers to understand and quantify how economic phenomena in one location can influence those in ...

This is a preview. Log in through your library . Abstract A method for optimization in nonlinear stochastic models is proposed in this paper, and applied to study monetary and fiscal policy in the St.

The logic is straightforward. Frontier model development is capital-intensive, compute-hungry, and concentrated among a ...

This course, presented by the Institute for Capacity Development, gives government officials a rigorous foundation estimating of macro-econometric models and their application for nowcasting, ...