I’m trying to evaluate a new keynesian model, and make estimates with different variations around a “ground model”. Does anyone have any comments on how I should compare the different models and conclude which one is most likely the best by:
- Maximum Likelihood estimation
- Bayesian estimation
Is the smoothed shock graphs the only thig I can use for comparison?