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A simple derivation of Prelec's probability weighting function
8 references·16 citing·24 second hop
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this work references cited by second hop

References

  • 1979Prospect Theory: An Analysis of Decision under Risk48,459 cited
  • 1988Prospect theory: An analysis of decision under risk32,475 cited
  • 1992Advances in prospect theory: Cumulative representation of uncertainty15,457 cited
  • 1984Choices, values, and frames.6,505 cited
  • 2013Choices, Values, and Frames5,320 cited
  • 1982A theory of anticipated utility3,136 cited
  • 1998The Probability Weighting Function1,998 cited
  • 2001Reduction Invariance and Prelec's Weighting Functions91 cited

Cited by

  • 2007Why do people pay taxes? Prospect theory versus expected utility theory274 cited
  • 2011Probability Weighting Functions33 cited
  • 2008On probabilities and loss aversion32 cited
  • 2013Using logarithmic derivative functions for assessing the risky weighting function for binary gambles15 cited
  • 2013Compound invariance implies prospect theory for simple prospects12 cited
  • 2012An extension of the Becker proposition to non-expected utility theory11 cited
  • 2008A General Theory of Time Discounting: The Reference-Time Theory of Intertemporal Choice9 cited

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2010
Composite Prospect Theory: A proposal to combine ‘prospect theory’ and ‘cumulative prospect theory’
8 cited
  • 2010The Behavioral Economics of Insurance4 cited
  • 2014Cumulative Prospect Theory2 cited
  • 2020On a derivation of the Goldstein–Einhorn probability weighting functions2 cited
  • 2008Insurance and Probability Weighting Functions2 cited
  • 2010Individual Property Risk Management1 cited
  • 2007On the Paradigm of Loss Aversion1 cited
  • 2010The behavioral economics of the demand for insurance1 cited
  • 2010Asymptotic Theory of Stochastic Choice Functionals for Prospects With Embedded Comotonic Probability Measures0 cited