Foundations of Behavioral Economic Analysis Volume 1: Behavioral Economics of Risk, Uncertainty, and Ambiguity

This first volume of The Foundations of Behavioral Economic Analysis covers the opening topic found in this definitive introduction to the subject: the behavioral economics of risk, uncertainty, and ambiguity. It is an essential guide for advanced undergraduate and postgraduate students seeking a concise and focused text on this important subject, and examines how the decision maker chooses his optimal action in the presence of risk, uncertainty, and ambiguity.

This, the first of seven volumes, revises and updates Dhami's leading textbook allowing the reader to pursue parts of this rapidly growing field that are tailored to their specific interests in behavioural economics

Sanjit Dhami, Professor of Economics, University of Leicester, UK

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 I: Behavioral Economics of Risk, Uncertainty, and Ambiguity
Preface to the Foundations of Behavioral Economic Analysis
Introduction to Volume I
Introduction to Behavioral Economics and the Book Volumes
1. The Evidence on Human Choice under Risk and Uncertainty
2. Behavioral Models of Decision Making
3. Applications of Behavioral Decision Theory
4. Human Behavior under Ambiguity
A Selected Guide to the Recent Literature (2015--2018)
References