The Foundations of Behavioral Economic Analysis
Oxford University Press (Verlag)
978-0-19-885367-1 (ISBN)
This fifth volume of The Foundations of Behavioral Economic Analysis covers behavioral models of learning. It is an essential guide for advanced undergraduate and postgraduate students seeking a concise and focused text on this important subject, and examines heuristics and biases in judgment and decision making, mental accounting, and behavioral finance and bounded rationality.
This updated extract from Dhami's leading textbook allows the reader to pursue subsections of this vast and rapidly growing field and to tailor their reading to their specific interests in behavioral economics.
Sanjit Dhami is Professor of Economics at the University of Leicester. He studied at the Delhi School of Economics and the University of Toronto for his Masters, MPhil, and PhD degrees in economics. He has previously taught at the Universities of Toronto, Essex, and Newcastle. His research has mainly focused on behavioral economic theory and its applications. He has published on the axiomatic foundations of the various components of prospect theory, behavioral political economy using other-regarding preferences, behavioral time preferences, foundations of behavioral game theory, and applications in tax evasion, stochastic dominance concepts under other-regarding preferences, and in behavioral law and economics.
Preface to Volume V
Preface to The Foundations of Behavioral Economic Analysis
Introduction to Volume V
Introduction to Behavioral Economics and the Book Volumes
1: Heuristics and Biases in Judgment and Decision Making
2: Mental Accounting
3: Behavioral Finance and Bounded Rationality
4: A Guide to Further Reading
| Erscheinungsdatum | 21.02.2020 |
|---|---|
| Verlagsort | Oxford |
| Sprache | englisch |
| Maße | 187 x 242 mm |
| Gewicht | 728 g |
| Themenwelt | Wirtschaft ► Volkswirtschaftslehre ► Mikroökonomie |
| ISBN-10 | 0-19-885367-X / 019885367X |
| ISBN-13 | 978-0-19-885367-1 / 9780198853671 |
| Zustand | Neuware |
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