Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

The Scandinavian Journal of Economics, which first appeared in 1899 as Ekonomisk Tidskrift publishes research of the highest scientific quality from Nordic and international contributors in all areas ...

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 paper points to some of the difficulties in large-scale econometric modeling. The major issues here include the logic of the equations, the nature of the stochastic disturbance terms, the logic ...

ECONOMISTS develop economic models to explain consistently recurring relationships. Their models link one or more economic variables to other economic variables (see “What Are Economic Models,” F&D, ...