2021
DOI: 10.1257/aeri.20200408
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A Behavioral Characterization of the Likelihood Ratio Order

Abstract: It is well known that stochastic dominance is equivalent to a unanimity property for monotone expected utilities. For lotteries over a finite set of prizes, we establish an analogous relationship between likelihood ratio dominance and monotone betweenness preferences, which are an important generalization of expected utility. (JEL D11, D44)

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Cited by 3 publications
(13 citation statements)
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“…Given a weak order on signals ▹, a quasi‐linear function V:normalΔdouble-struckR is monotone if sksk implies Vfalse(δkfalse)Vfalse(δkfalse). In Mihm and Siga (2020a), we show that an environment satisfies the MLRP if and only if there is a weak order ▹ on signals such that vfalse(ωfalse)>vfalse(ωfalse) implies Vfalse(Pωfalse)>Vfalse(Pωfalse) for every monotone quasi‐linear function. The relation between the MLRP and monotone quasi‐linear functions is, therefore, analogous to the well known relation between first‐order stochastic dominance and monotone linear functions.…”
Section: Resultsmentioning
confidence: 93%
See 1 more Smart Citation
“…Given a weak order on signals ▹, a quasi‐linear function V:normalΔdouble-struckR is monotone if sksk implies Vfalse(δkfalse)Vfalse(δkfalse). In Mihm and Siga (2020a), we show that an environment satisfies the MLRP if and only if there is a weak order ▹ on signals such that vfalse(ωfalse)>vfalse(ωfalse) implies Vfalse(Pωfalse)>Vfalse(Pωfalse) for every monotone quasi‐linear function. The relation between the MLRP and monotone quasi‐linear functions is, therefore, analogous to the well known relation between first‐order stochastic dominance and monotone linear functions.…”
Section: Resultsmentioning
confidence: 93%
“…In fact, the MLRP can also be characterized in terms of quasilinear functions. Given a weak order on signals , a quasi-linear function Mihm and Siga (2020a), we show that an environment satisfies the MLRP if and only if there is a weak order on signals such that v(ω) > v(ω ) implies V (P ω ) > V (P ω ) for every monotone quasi-linear function. The relation between the MLRP and monotone quasi-linear functions is, therefore, analogous to the well known relation between first-order stochastic dominance and monotone linear functions.…”
Section: Failures Of Information Aggregationmentioning
confidence: 99%
“…Early literature (e.g., Quirk & Saposnik, 1962;Hadar & Russell, 1969) focuses on the first and second-order stochastic dominance and expected utility. However, the behav ioral foundation of the likelihood-ratio order has not been studied until Mihm & Siga (2021). In Mihm & Siga (2021), the authors provide a different characterization of the likelihood-ratio order using the betweenness preference relation (Dekel, 1986).…”
Section: Introductionmentioning
confidence: 99%
“…It is straightforward to verify that the betweenness condition implies the existence of a betweenness preference (with linear indifference curves in the simplex that are not necessarily parallel) therefore satisfying the betweenness property in SM.11Mihm and Siga (2021) show that there is a precise connection of the MLRP and the betweenness property: the betweenness property is satisfied if states are separated on the simplex by some betweenness order, while the MLRP is satisfied if states are separated for every betweenness order.…”
mentioning
confidence: 99%
“… Mihm and Siga (2021) show that there is a precise connection of the MLRP and the betweenness property: the betweenness property is satisfied if states are separated on the simplex by some betweenness order, while the MLRP is satisfied if states are separated for every betweenness order. …”
mentioning
confidence: 99%