Book contents
- Frontmatter
- Contents
- Preface
- Introduction
- Part I Expected utility
- Part II Nonexpected utility for Risk
- Part III Nonexpected utility for uncertainty
- 13 Conclusion
- Appendices
- Appendix A Models never hold perfectly: how to handle their deficiencies?
- Appendix B Choosing from multiple prospects and binary choice: the principles of revealed preference
- Appendix C Dynamic decisions
- Appendix D Applications other than decision under uncertainty
- Appendix E Bisymmetry-based preference conditions
- Appendix F Nonmonotonic rank-dependent models and the Fehr–Schmidt model of welfare evaluation
- Appendix G Extensions of finite-dimensional results to infinite-dimensional results: a meta-theorem
- Appendix H Measure theory
- Appendix I Related textbooks and surveys
- Appendix J Elaborations of exercises
- Appendix K Skipping parts and interdependencies between sections
- References
- Author index
- Subject index
Appendix I - Related textbooks and surveys
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Preface
- Introduction
- Part I Expected utility
- Part II Nonexpected utility for Risk
- Part III Nonexpected utility for uncertainty
- 13 Conclusion
- Appendices
- Appendix A Models never hold perfectly: how to handle their deficiencies?
- Appendix B Choosing from multiple prospects and binary choice: the principles of revealed preference
- Appendix C Dynamic decisions
- Appendix D Applications other than decision under uncertainty
- Appendix E Bisymmetry-based preference conditions
- Appendix F Nonmonotonic rank-dependent models and the Fehr–Schmidt model of welfare evaluation
- Appendix G Extensions of finite-dimensional results to infinite-dimensional results: a meta-theorem
- Appendix H Measure theory
- Appendix I Related textbooks and surveys
- Appendix J Elaborations of exercises
- Appendix K Skipping parts and interdependencies between sections
- References
- Author index
- Subject index
Summary
The topic of the first part of this book, expected utility, has been covered by many textbooks and surveys. The focus on measurement and behavioral foundations, as in this book, is primarily found in books from decision analysis (risk theory applied to management science). These include Bunn (1984), Clemen (1991; the first part has much material on modeling actual decision situations and there are many case studies), von Winterfeldt & Edwards (1986), Keeney & Raiffa (1976; Chs. 1–4, with Chs. 5 and 6 focusing on questions of aggregation as in our §3.7; read Raiffa 1968 first), and Raiffa (1968 Chs. 1, 2, 4, 5, 6). Although Luce & Raiffa (1957) is mostly on game theory, its presentation of uncertainty and risk in Chs. 2 and 13 is outstanding. Economic works include the well-written Drèze (1987 first two chapters), Gollier (2001a), Kreps (1988), Machina (1987), and Mas-Colell, Whinston, & Green (1995 Chs. 1, 6). Mathematical works include the valuable and efficient collection of material in Fishburn (1970, 1981), the deep and rich Krantz et al. (1971), and the impressive and mature Pfanzagl (1968). Fishburn (1972) gives a convenient introduction to the mathematics of decision theory. Medical works close to the topic of this book include the accessible Sox et al. (1986) and the deeper and more technical Weinstein et al. (1980), with a broader exposition on cost-effectiveness analyses in Drummond et al. (1987) and Gold et al. (1996). Philosophical works include the impressive Broome (1991).
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- Chapter
- Information
- Prospect TheoryFor Risk and Ambiguity, pp. 397 - 398Publisher: Cambridge University PressPrint publication year: 2010