The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose the optimal distribution of outcomes. This assumes that the decision maker trusts the model completely. But what should a decision maker do if the model cannot be trusted? Lars Hansen and Thomas Sargent, two leading macroeconomists, push the field forward as they set about answering this question. They adapt robust control techniques and apply them to economics. By using this theory to let decision makers acknowledge misspecification i.
Publisher:Princeton : Princeton University Press, 2011.
Content descriptions
Bibliography, etc. Note:
Includes bibliographical references (pages 413-425) and indexes.
Formatted Contents Note:
11. Competitive equilibria without robustness12. Competitive equilibria with robustness; 13. Asset pricing; 14. Risk sensitivity, model uncertainty, and asset pricing; 15. Markov perfect equilibria with robustness; 16. Robustness in forward-looking models; Part V: Robust estimation and filtering; 17. Robust filtering with commitment; 18. Robust filtering without commitment; Part VI: Extensions; 19. Alternative approaches; References; Index; Author Index; Matlab Index.
E-book
