The Scandinavian Journal of Economics, Vol. 93, No. 2, Proceedings of a Conference on New Approaches to Empirical Macroeconomics (Jun., 1991), pp. 283-314 (32 pages) Macroeconometric models are in ...

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 ...

Econometrics is often misunderstood and viewed with suspicion. But used appropriately it is a powerful tool to maximise the effectiveness of marketing strategies. Econometric modelling allows us to ...

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 ...

The field of econometrics and statistical methods encompasses a suite of techniques designed to quantify economic relationships, test theories using real-world data, and forecast future trends. This ...

SMU Office of Research & Tech Transfer - Danish physicist Neils Bohr once quipped that prediction is hard, especially when it is about the future. But this is precisely what financial regulators need ...

Thinking long-term amid the current climate of deepening economic uncertainty can feel like a real challenge. While some brands will rely on their use of modelling to guide them to recovery, others ...

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 ...