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 ...

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 ...

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

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 ...

Econometric models are widely used in the creation and evaluation of economic policy in the public and private sectors. But these models are useful only if they adequately account for the phenomena 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 ...