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 ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

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 ...

The problem of price stabilization of primary commodities is dealt with here in the context of one commodity--tin. An attempt has been made to construct and estimate an econometric model with main ...

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 ...

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 ...

Provides an overview of how econometric modelling can help marketers understand how much each media channel contributes and over what timescale. Econometric modelling is a broad-level analytical ...

Businesses are always keen to improve their return on investments in marketing spend. For achieving this objective, understanding the full cycle of the customer journey across various channels is ...