Dhami | The Foundations of Behavioral Economic Analysis | Buch | 978-0-19-885368-8 | www.sack.de

Buch, Englisch, 300 Seiten, Print PDF, Format (B × H): 189 mm x 246 mm, Gewicht: 585 g

Dhami

The Foundations of Behavioral Economic Analysis

Volume VI: Behavioral Models of Learning
Erscheinungsjahr 2019
ISBN: 978-0-19-885368-8
Verlag: Oxford University Press(UK)

Volume VI: Behavioral Models of Learning

Buch, Englisch, 300 Seiten, Print PDF, Format (B × H): 189 mm x 246 mm, Gewicht: 585 g

ISBN: 978-0-19-885368-8
Verlag: Oxford University Press(UK)


This sixth 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 evolutionary game theory, models of learning, and stochastic social dynamics.

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.

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Autoren/Hrsg.


Weitere Infos & Material


- Preface to Volume VI

- Preface to the Foundations of Behavioral Economic Analysis

- Introduction to Volume VI

- Introduction to Behavioral Economics and the Book Volumes

- 1: Evolutionary Game Theory

- 2: Models of Learning

- 3: Stochastic Social Dynamics

- 4: A Guide to Further Reading

- Appendices


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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