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The Foundations of Behavioral Economic Analysis: Other-Regarding Preferences

by Dhami Sanjit
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Current price ₹627.00
Original price ₹895.00
Original price ₹895.00
Original price ₹895.00
(-30%)
₹627.00
Current price ₹627.00

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Book cover type: Paperback
  • ISBN13: 9780198837435
  • Binding: Paperback
  • Subject: Economics
  • Publisher: Oxford UP
  • Publisher Imprint: Oxford UP
  • Publication Date:
  • Pages: 336
  • Original Price: INR 895.0
  • Language: English
  • Edition: N/A
  • Item Weight: 500 grams
  • BISAC Subject(s): Economics / Microeconomics

Taken from the first definitive introduction to behavioral economics, The Foundations of Behavioral Economic Analysis: Other-Regarding Preferences is an authoritative and cutting edge guide to this essential topic for advanced undergraduate and postgraduate students. It considers the evidence from experimental games on human sociality, and gives models and applications of inequity aversion, intention based reciprocity, conditional cooperation, human virtues, and social identity.

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, 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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