Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

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 ...

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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 ...

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, ...

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 ...

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 ...

This paper describes a theoretical approach to determine the downturn loss given default (LGD) for residential mortgages, which is compliant with the regulatory requirement and thus suitable to be ...