Description
Oxford The Foundations of Behavioral Economic Analysis Volume-III: Behavioral Time Discounting By Sanjit Dhami (9780198837442)
Taken from the first definitive introduction to behavioral economics,?The Foundations of Behavioral Economic Analysis: Behavioral Time Discounting?is an authoritative and cutting edge guide to this essential topic for advanced undergraduate and postgraduate students. It considers the evidence against the exponential discounted utility model and describes several behavioral models such as hyperbolic discounting, attribute based models, and the reference time theory.
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 behavioural economics.
Sanjit Dhami
- Taken from the definitive textbook on behavioral economics
- Deals with theory, evidence, and applications
- Contains exercises to test understanding and to challenge the reader to go beyond the material in the text
New to this Edition:
- Includes brief new material that updates discussion
- Accompanied by new introductions, prefaces, and selected guides to recent literature to contextualize the topic within its wider field.
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.






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