A generalization of the increasing generalized failure rate unimodality condition

Stefanos Leonardos (), Constandina Koki () and Costis Melolidakis ()
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Stefanos Leonardos: King’s College London
Constandina Koki: University of Warwick
Costis Melolidakis: National and Kapodistrian University of Athens

Annals of Operations Research, 2024, vol. 336, issue 3, No 14, 1679 pages

Abstract: Abstract In this paper, we study unimodality conditions for distributions that describe markets with stochastic demand. Such conditions naturally emerge in the analysis of game-theoretic models of market competition (Cournot games) and supply chain coordination (Stackelberg games). We express the price elasticity of expected demand in terms of the mean residual life (MRL) function of the demand distribution and characterize optimal prices or equivalently, points of unitary elasticity, as fixed points of the MRL function. This leads to economic interpretable conditions on the demand distribution under which such fixed points exist and are unique. We find that markets with increasing price elasticity of expected demand that eventually become elastic correspond to distributions with decreasing generalized mean residual life (DGMRL) and finite second moment. DGMRL distributions strictly generalize the widely used increasing generalized failure rate (IGFR) distributions. We further elaborate on the relationship of the two classes, link their limiting behavior at infinity and examine moment and closure properties of DGMRL distributions that are important in economic applications. The DGMRL unimodality condition is useful in the analysis of optimal decisions under uncertainty in settings that are not covered by the widely-used IGFR condition; thus, it can be of broader interest to the game-theory and operations research literature.

Keywords: Price elasticity of expected demand; Decreasing generalized mean residual life; Increasing generalized failure rate; Unimodality; Fixed points; Revenue maximization; Stochastic demand (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10479-023-05425-z

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