This is a preview. Log in through your library . Abstract In this paper four alternative quarterly econometric models of investment behavior are fitted to a common set of data for individual ...

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 ...

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

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

The Wharton Model is extrapolated for 24 quarters with appropriate assumptions. The problems involved in specifying a fresh model for long range forecasting are then outlined, including "endogenizing ...

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, ...

Economists at the John A. Volpe National Transportation Systems Center (Volpe) recently announced completing the development of an econometric model, on behalf of the Federal Highway Administration, ...

This course is compulsory on the MSc in Finance and Economics and MSc in Finance and Economics (Work Placement Pathway). This course is not available as an outside option to students on other ...