Researchers say governments and financial institutions underestimating threat because they rely on models that assume climate ...

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 ...

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

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, ...

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 ...

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 ...

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

Businesses are always keen to improve their return on investments in marketing spend. For achieving this objective, understanding the full cycle of the customer journey across various channels is ...