- Shopping Bag ( 0 items )
Other sellers (Hardcover)
-
All (10) from $69.99
-
New (7) from $76.82
-
Used (3) from $69.99
More About This Textbook
Overview
What People Are Saying
From the Publisher
“The book is a modern take on decision making. The innovative scope will inspire instructors by encouraging them to include a combination rather than a subset of decision-theoretic, statistical, behavioral, and philosophical concepts in their courses."—Marzena J. Rostek, University of Wisconsin
“Written by a leading authority and teacher in the area of decision theory, this is a terrific combined textbook–handbook for students and practitioners of management. Indeed, it is a terrific book for everyone interested in ‘making better decisions.’"
—Adam Brandenburger, New York University
“This book is extremely effective for anyone who wants to acquire quick, basic understanding of old and new concepts of decision theory, with a minimum level of technical details.”
—Ehud Kalai, Northwestern University
"Gilboa is one of the leaders of the revolution that has swept through the field of decision theory in the past few decades, in which mathematical methods of statistics and economics have been integrated with findings from modern psychology. In this book he provides an accessible and practical survey of the state of the art, which encourages readers to reflect on – and try to sharpen – their intuitions and habits of decision making. It would make an excellent primary or supplementary text for an undergraduate- or masters-level course in decision theory. It should also be useful and enjoyable reading for anyone who wants to learn about concepts that can be used and mistakes that should be avoided when taking calculated risks."
—Robert Nau, Duke University
"Itzhak Gilboa is one of the deepest thinkers in modern decision theory. In this fascinating and wonderfully written book he uses the fundamental models of decision making as a basis for reflection upon several systematic patterns revealed by our everyday choices. He strikes a nice balance between analytical models, psychological insights, and pragmatism with the end goals of improving our decision making and better understanding the decisions of others."
—Tomasz Strzalecki, Harvard University
Product Details
Meet the Author
Table of Contents
Acknowledgments.
1. Background.
Suggested Reading.
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.
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.
4. Decisions under Risk.
Introduction.
Problems.
The Independence Axiom.
Von Neumann and Morgenstern’s Result.
Measurement of Utility.
Risk Aversion.
Prospect Theory.
Exercises.
5. Decisions under Uncertainty.
Introduction.
Problems.
Subjective Probability.
Learning From the Fact We Know.
Causality.
The Sure Thing Principle.
Alternative Models.
Objective Probabilities.
Exercises.
6. Well-Being and Happiness.
Introduction.
Problems – Group A.
Problems – Group B.
Well-Being.
Measurement Issues.
What’s Happiness?
Exercises.
Appendix A: Optimal Choice.
Appendix B: Probability and Statistics.
Solutions.
Index.