Pricing Multiple Products with the Multinomial Logit and Nested Logit Models: Concavity and Implications
Hongmin Li, Woonghee Tim Huh
Abstract
Hongmin Li, Woonghee Tim Huh
Abstract
We consider the problem of pricing multiple differentiated products with the nested logit model and, as a special case, the multinomial logit model. We prove that concavity of the total profit function with respect to market share holds even when price sensitivity may vary with products. We use this result to analytically compare the optimal monopoly solution to oligopolistic equilibrium solutions. To demonstrate further applications of the concavity result, we consider several multiperiod dynamic models that incorporate the pricing of multiple products in the context of inventory control and revenue management, and establish structural results of the optimal policies.
OpenAlex reports 342 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
We consider the problem of pricing multiple differentiated products with the nested logit model and, as a special case, the multinomial logit model. We prove that concavity of the total profit function with respect to market share holds even when price sensitivity may vary with products. We use this result to analytically compare the optimal monopoly solution to oligopolistic equilibrium solutions. To demonstrate further applications of the concavity result, we consider several multiperiod dynamic models that incorporate the pricing of multiple products in the context of inventory control and revenue management, and establish structural results of the optimal policies.
Key concepts: Multinomial logistic regression, Revenue management, Econometrics, Economics, Context (archaeology), Oligopoly, Profit (economics), Nested logit