Stochastic Dominance and the Demand for Insurance

Rachel J. Huang and Larry Y. Tzeng ()
Additional contact information
Rachel J. Huang: National Central University
Larry Y. Tzeng: National Taiwan University

A chapter in Handbook of Insurance, 2025, pp 83-94 from Springer

Abstract: Abstract This chapter points out the obstacles to analyzing the demand for insurance by using the traditional stochastic dominance rules when the insurance premium is actuarially unfair. We further review the almost stochastic dominance rules and show how to employ them to examine the demand for insurance. Some directions for future studies in this line of research are provided.

Keywords: Demand for insurance; Stochastic dominance; Almost stochastic dominance; Extreme preferences (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-69674-9_4

Ordering information: This item can be ordered from
http://www.springer.com/9783031696749

DOI: 10.1007/978-3-031-69674-9_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().