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 ...

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 ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

This paper points to some of the difficulties in large-scale econometric modeling. The major issues here include the logic of the equations, the nature of the stochastic disturbance terms, the logic ...

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

Camelot Global commercial director Richard Bateson reminds us that econometric models are only as good as the data that goes into them, and more evidence is always needed to prove the return on ...

Forecasting exchange rates is a complex task that involves analyzing numerous factors, including economic indicators, political events, market sentiment, and technical analysis. Various methods and ...

The global financial crisis, triggered by the subprime mortgage problem and resulting in the collapse of a major American investment bank in September 2008, has seriously affected the Japanese economy ...