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 ...

Annales de l'inséé, No. 30/31, The Econometrics of Panel Data (Apr. - Sep., 1978), pp. 83-98 (16 pages) This short communication is meant to explore the potential use of parameter component models in ...

State & Local Government Review, Vol. 10, No. 3 (Sep., 1978), pp. 92-99 (8 pages) A quarterly econometric model, the Louisiana Revenue Projection Model, is developed and tested for forecasting state ...

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

Energy systems face complicated, long-term challenges with a high degree of uncertainty – and every country’s is different.

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Erika Rasure is globally-recognized as a leading consumer economics subject matter expert, ...