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 ...

Surveying economists for their projections on a variety of economic and financial indicators and aggregating the results has wide appeal, and for good reason. The wisdom of the crowd, such as it is, ...

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 ...

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 ...

This course, presented by the Institute for Capacity Development, gives government officials a rigorous foundation estimating of macro-econometric models and their application for nowcasting, ...

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 ...