
David L W. answered 07/01/19
PhD Tutor in Math, Statistics and Economics and Writing
Econometrics tends to focus on either being flexible with respect to the probability distribution of the error term, or avoiding bias in estimation. It traditionally has seen itself as enabling the rigorous testing of economic theories. Econometricians have often been distrustful of a-theoretical results, pointing out how economic data does not come from ideal laboratory settings with randomization and controls. In contrast, quantitative analytics is less perfectionist. It often entails data-mining, often with large data-sets, where the perceived usefulness in improving business or political decision-making is what matters most.