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 ...

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 ...

When both variables are subject to error, a straight line may be fitted by minimizing the sum of squared distances of the observed points to the line. Approximate distributions of the slope of this ...

ORF estimates, based on a linear econometric model, show that for the period 2017-23, there was a 1.11 percent increase in jobs for a percent increase in value added. (Image/PTI) India’s unemployment ...