Models are essential inputs to economic analysis. Yet, an economic model is at best only an approximation to a complex social reality. Economists have approached the issue of model misspecification from two perspectives. A first approach considers how agents within an economic model deal with the possibility that their model of the world may be wrong. A second approach studies how existing econometric techniques for the analysis and interpretation of data must be modified when the model is misspecified. In both settings, robust decision making requires the economic agent or the econometrician to explicitly allow for the risk of misspecification. The aim of the conference, “Robustness in Economics and Econometrics,” is to bring together researchers engaged in these two modeling approaches.

This conference is co-sponsored by BFI’s Macro Finance Research Program and Big Data Initiative.

Agenda

Friday, April 5, 2019
08:00:00–09:00:00

Registration and Breakfast

09:00:00–09:05:00

Welcoming Remarks

09:05:00–10:05:00

Assessing Misspecification and Aggregation for Structured Preferences

10:05:00–11:05:00

Belief Heterogeneity with Uninsurable Risks

 

11:05:00–11:20:00

Break

11:20:00–12:20:00

Self-justified Equilibria: Existence and Computation

12:30:00–13:30:00

Lunch

13:30:00–14:30:00

Sensitivity and Informativeness under Local Misspecification

15:30:00–15:45:00

Break

15:45:00–16:45:00

Structured Uncertainty and Model Misspecification

Saturday, April 6, 2019
08:15:00–09:00:00

Registration and Breakfast

09:00:00–10:00:00

Statistical Reports for Remote Agents

Sensitivity Analysis using Approximate Moment Condition Models

11:00:00–11:15:00

Break

Robust Dynamic Utility

12:15:00–13:15:00

Lunch

13:15:00–14:15:00

Counterfactual Sensitivity and Robustness

14:15:00–14:30:00

Break