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 ...

Economists develop economic models to explain consistently recurring relationships. Their models link one or more economic variables to other economic variables (see “Economic Models,” p. 8). For ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

Lawrence Klein, the University of Pennsylvania economist who won the 1980 Nobel Prize for his computer-based models that help governments forecast the future and act accordingly, died Sunday at his ...

Conventional tests for composite hypotheses in minimum distance models can be unreliable when the relationship between the structural and reduced-form parameters is highly nonlinear. Such nonlinearity ...

This is a preview. Log in through your library . Abstract This paper analyses the stochastic simulation of econometric models using three different methods for ...