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 ...

We investigate impact analysis and its asymptotic inference for spatial autoregressive models. We propose using the delta method, which enables us to obtain the dispersion in an explicit form. In ...

AI is moving faster and becoming more diverse than ever. The next competitive advantage may come from a new architecture.

Autoregressive models are a statistical technique used to predict future values in a sequence based on its past values. It is essentially a fancy way of saying that it uses the past to predict the ...