Artikel

A new approach of stochastic dominance for ranking transformations on the discrete random variable

This paper presents some new stochastic dominance (SD) criteria for ranking transformations on a random variable, which is the first time that this is done for transformations under the discrete framework. By using the expected utility theory, the authors first propose a sufficient condition for general transformations by first degree SD (FSD), and further develop it into the necessary and sufficient condition for monotonic transformations. For the second degree SD (SSD) case, they divide the monotonic transformations into increasing and decreasing categories, and further derive their necessary and sufficient conditions, respectively. For two different discrete random variables with the same possible states, the authors obtain the sufficient and necessary conditions for FSD and SSD, respectively. The new SD criteria have the following features: each FSD condition is represented by the transformation functions and each SSD condition is characterized by the transformation functions and the probability distributions of the random variable. This is different from the classical SD approach where FSD and SSD conditions are described by cumulative distribution functions. Finally, a numerical example is provided to show the effectiveness of the new SD criteria.

Language
Englisch

Bibliographic citation
Journal: Economics: The Open-Access, Open-Assessment E-Journal ; ISSN: 1864-6042 ; Volume: 11 ; Year: 2017 ; Issue: 2017-14 ; Pages: 1-23 ; Kiel: Kiel Institute for the World Economy (IfW)

Classification
Wirtschaft
Model Construction and Estimation
Criteria for Decision-Making under Risk and Uncertainty
Subject
stochastic dominance
transformation
utility theory
insurance

Event
Geistige Schöpfung
(who)
Gao, Jianwei
Zhao, Feng
Event
Veröffentlichung
(who)
Kiel Institute for the World Economy (IfW)
(where)
Kiel
(when)
2017

DOI
doi:10.5018/economics-ejournal.ja.2017-14
Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Gao, Jianwei
  • Zhao, Feng
  • Kiel Institute for the World Economy (IfW)

Time of origin

  • 2017

Other Objects (12)