Machine generated contents note: Chapter 1. Background.
Suggested Reading.
Chapter 2. Judgment and Choice Biases.
Introduction.
Problems - Group A.
Problems - Group B.
Framing Effects.
Brainstorming and Formal Models.
Endowment Effect.
Sunk Costs.
Decision Trees.
Representativeness Heuristic.
Availability Heuristic.
Anchoring.
Mental Accounting.
Dynamic Inconsistency.
Exercises.
Chapter 3. Consuming Statistical Data.
Introduction.
Problems.
Conditional Probabilities.
Gambler's Fallacy.
Biased Samples.
Regression to the Mean.
Correlation and Causation.
Statistical Significance.
Bayesian and Classical Statistics.
Exercises.
Chapter 4. Decisions under Risk.
Introduction.
Problems.
The Independence Axiom.
von-Neumann and Morgenstern's Result.
Measurement of Utility.
Risk Aversion.
Prospect Theory.
Exercises.
Chapter 5. Decisions under Uncertainty.
Introduction.
Problems.
Subjective Probability.
Learning from the fact we know.
Causality.
The Sure Thing Principle.
Alternative Models.
Objective Probabilities.
Exercises.
Chapter 6. Well-Being and Happiness.
Introduction.
Problems - Group A.
Problems - Group B.
Well Being.
Measurement Issues.
What's Happiness?
Exercises.
Chapter 7. Appendix A: Optimal Choice.
Chapter 8. Appendix B: Probability and Statistics.
Solutions.
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Making better decisions : decision theory in practice by Itzhak Gilboa. ISBN 9781444336528. Published by Wiley-Blackwell in 2011. Publication and catalogue information, links to buy online and reader comments.
