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

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 ...

The field of economic models and forecasting encompasses the development and application of theoretical, empirical and computational frameworks to predict future economic outcomes. These models range ...

With “Doughnut Economics,” Kate Raworth looks instead at planetary well-being. By Keridwen Cornelius This article is part of a Women and Leadership special report highlighting the work by women around ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

New economic models can help policymakers better understand the effects of their inflation-taming measures Much about today’s inflation is not well understood. Why are some households seriously harmed ...

Introduction Integrating smoking cessation supports into lung cancer screening can improve abstinence rates. However, ...