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Foundations of Behavioral Economic Analysis (Paperback) | Released: 15 Sep 2020
By: Sanjit Dhami (Author) Publisher: Oxford University Press, USA26.00% Off Original price was: 1,395.00$.1,032.00$Current price is: 1,032.00$.
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This seventh volume of The Foundations of Behavioral Economic Analysis covers a range of topics in behavioral economics. It is an essential guide for advanced undergraduate and postgraduate students seeking a concise and focused text that explores the key areas of emotions in economics, behavioral welfare economics, and neuroeconomics. This... Read More
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Author:
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Sanjit Dhami
Publisher Name:
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Oxford University Press, USA
Language:
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English
Binding:
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(Paperback)
About The Book
This seventh volume of The Foundations of Behavioral Economic Analysis covers a range of topics in behavioral economics. It is an essential guide for advanced undergraduate and postgraduate students seeking a concise and focused text that explores the key areas of emotions in economics, behavioral welfare economics, and neuroeconomics. 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.About the Author: Sanjit Dhami, Professor of Economics, University of Leicester 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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