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Risky Curves On the Empirical Failure of Expected Utility 1st Edition by Daniel Friedman, R Mark Isaac, Duncan James, Shyam Sunder ISBN 0415636108 978-0415636100

  • SKU: BELL-21911288
Risky Curves On the Empirical Failure of Expected Utility 1st Edition by Daniel Friedman, R Mark Isaac, Duncan James, Shyam Sunder ISBN 0415636108 978-0415636100
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Risky Curves On the Empirical Failure of Expected Utility 1st Edition by Daniel Friedman, R Mark Isaac, Duncan James, Shyam Sunder ISBN 0415636108 978-0415636100 instant download after payment.

Publisher: Routledge
File Extension: PDF
File size: 9.86 MB
Pages: 140
Author: Daniel Friedman, R. Mark Isaac, Duncan James, Shyam Sunder
ISBN: 9781138096462, 1138096466
Language: English
Year: 2017

Product desciption

Risky Curves On the Empirical Failure of Expected Utility 1st Edition by Daniel Friedman, R Mark Isaac, Duncan James, Shyam Sunder ISBN 0415636108 978-0415636100 by Daniel Friedman, R. Mark Isaac, Duncan James, Shyam Sunder 9781138096462, 1138096466 instant download after payment.

Risky Curves: On the Empirical Failure of Expected Utility 1st Edition by Daniel Friedman, R. Mark Isaac, Duncan James, Shyam Sunder - Ebook PDF Instant Download/Delivery: 0415636108, 978-0415636100

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Product details:

ISBN 10: 0415636108 

ISBN 13: 978-0415636100

Author: Daniel Friedman, R. Mark Isaac, Duncan James, Shyam Sunder

For several decades, the orthodox economics approach to understanding choice under risk has been to assume that each individual person maximizes some sort of personal utility function defined over purchasing power. This new volume contests that even the best wisdom from the orthodox theory has not yet been able to do better than supposedly naïve models that use rules of thumb, or that focus on the consumption possibilities and economic constraints facing the individual.

The authors assert this by first revisiting the origins of orthodox theory. They then recount decades of failed attempts to obtain meaningful empirical validation or calibration of the theory. Estimated shapes and parameters of the "curves" have varied erratically from domain to domain (e.g., individual choice versus aggregate behavior), from context to context, from one elicitation mechanism to another, and even from the same individual at different time periods, sometimes just minutes apart.

This book proposes the return to a simpler sort of scientific theory of risky choice, one that focuses not upon unobservable curves but rather upon the potentially observable opportunities and constraints facing decision makers. It argues that such an opportunities-based model offers superior possibilities for scientific advancement. At the very least, linear utility – in the presence of constraints - is a useful bar for the "curved" alternatives to clear.

Table of contents:

  1. The Challenge of Understanding Choice Under Risk

  2. Historical Review of Research Through 1960

  3. Measuring Individual Risk Preferences

  4. Aggregate Level Evidence From the Field

  5. What Are Risk Preferences?

  6. Risky Opportunities

  7. Possible Ways Forward

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Tags: Daniel Friedman, R Mark Isaac, Duncan James, Shyam Sunder, Risky Curves, Expected Utility, Empirical Failure

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