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Nonetheless, there are two unknowns in the issue that enhance the problem for locating an optimal pricing. In this paper, we show that a dynamic pricing exists in multi-demand markets with 4 gamers, multi-demand markets with at most two optimal allocations, and tri-demand markets. On this work we present two contributions: (1) we develop a novel approach of mapping traffic and topology data to a demand and value mannequin; and (2) we match this model on three large real-world networks: an European transit ISP, a content material distribution network, and an educational analysis community, and run counterfactuals to evaluate the consequences of different pricing strategies on each the ISP revenue and the patron surplus. Not like properly-recognized prior criticism of established SCC models, including DICE and RICE (Stern et al., 2021), we base our proposal primarily on the observation that the current mannequin innovation process for integrated assessment fashions (IAMs) shouldn’t be optimal. The first model relies on the assumption that the volatility elasticity is fixed, which is named constant volatility elasticity (CVE) model.

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