Risky Curves Risky Curves

Risky Curves

On the Empirical Failure of Expected Utility

Daniel Friedman and Others
    • $99.99
    • $99.99

Publisher Description

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.

GENRE
Business & Personal Finance
RELEASED
2014
February 5
LANGUAGE
EN
English
LENGTH
140
Pages
PUBLISHER
Taylor & Francis
SELLER
Taylor & Francis Group
SIZE
1.5
MB
The King of Chicago The King of Chicago
2017
Ne deviens jamais pauvre ! Ne deviens jamais pauvre !
2015
Ne deviens jamais vieux Ne deviens jamais vieux
2013
Running Out of Road Running Out of Road
2020
Don't Ever Look Back Don't Ever Look Back
2014
Don't Ever Get Old Don't Ever Get Old
2012