Lars Peter Hansen

We should always be critical of our models and constantly seek to improve them.

The generalized method of moments has provided a common language for empirical researchers across different fields of economics.

Robust policies are those that perform reasonably well under a variety of plausible model specifications.

The challenge is to incorporate realistic forms of uncertainty into our economic models.

The GMM is a powerful tool for estimating parameters and testing hypotheses in dynamic economic models.

Econometrics is an art as much as it is a science.

The robust control framework allows us to quantify the trade-off between optimality and robustness.

We need to be mindful of the assumptions we make when building economic models.

The generalized method of moments has provided a rigorous foundation for much of modern empirical economics.

Uncertainty is a fundamental aspect of economic decision-making, and we must account for it.

The rational expectations revolution has fundamentally altered how we think about economic policy.

In econometrics, the generalized method of moments provides a flexible framework for estimation under uncertainty.

Economic models must account for the incomplete information that agents face in real life.

Robustness in decision-making is key when facing model uncertainty.

The interplay between theory and data is the essence of modern economics.

Time series analysis reveals the hidden structures in economic fluctuations.

Policy makers should beware of overconfidence in their forecasts.

Asset pricing under uncertainty demands a deep understanding of risk.

Economics is not just about numbers; it's about human behavior.

The Nobel Prize is a recognition of collaborative efforts in the field.