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, ...

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 study inference in structural models with a jump in the conditional density, where location and size of the jump are described by regression curves. Two prominent examples are auction models, where ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation In forecasting economic time series, statistical models often need to be complemented with a process to impose various ...

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 ...