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Testing for Second-Order Stochastic Dominance of Two Distributions

Kaur, Amarjot, Prakasa Rao, B.L.S., Singh, Harshinder·1994·Econometric Theory

Abstract

A distribution function F is said to stochastically dominate another distribution function G in the second-order sense if , for all x. Second-order stochastic dominance plays an important role in economics, finance, and accounting. Here a statistical test has been constructed to test , for some x ∈ [a, b], against the hypothesis , for all x ∈ [a, b], where a and b are any two real numbers. The test has been shown to be consistent and has an upper bound α on the asymptotic size. The test is expected to have usefulness for comparison of random prospects for risk averters.

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Metadata

Authors
Kaur, A., Prakasa Rao, B. L. S., & Singh, H.
Venue
Econometric Theory
Published
1994-12
Volume
10
Issue
5
Pages
849-866
ISSN
  • 0266-4666 (ISSN-L)
  • 1469-4360
OpenAlex
W2010168683
Cited by
179
References
0
FWCI
0.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Testing for Second-Order Stochastic Dominance of Two Distributions. https://app.cochat.ai/papers/10.1017/s0266466600008884
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Kaur, A., Prakasa Rao, B. L. S., & Singh, H. (1994). Testing for Second-Order Stochastic Dominance of Two Distributions. Econometric Theory. https://doi.org/10.1017/s0266466600008884

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