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Specification tests for the multinomial logit model [PDF]
Econometrica, 1984 In the paper we provide two sets of computationally convenient specification tests for the multinomial logit model. The first test is an application of the \textit{J. Hausman} [ibid. 46, 1251-1271 (1978; Zbl 0397.62043)] specification test procedure. The basic idea for the test here is to test the reverse implication of the independence from irrelevant
J. Hausman, D. McFadden
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Management Sciences, 2020
We examine the revenue–utility assortment optimization problem with the goal of finding an assortment that maximizes a linear combination of the expected revenue of the firm and the expected utility of the customer.
Mika Sumida +4 more
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We examine the revenue–utility assortment optimization problem with the goal of finding an assortment that maximizes a linear combination of the expected revenue of the firm and the expected utility of the customer.
Mika Sumida +4 more
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Multinomial Logit Specification Tests
International Economic Review, 1985This paper considers tests of the multinomial logit (MNL) model against unspecified alternative models. The test we propose avoids both the asymptotic bias of the likelihood ratio test originally suggested by \textit{D. McFadden}, \textit{K. Train} and \textit{W. Tye} [An application of diagnostic tests for the independence from irrelevant alternatives
Hsiao, Cheng, Small, K.
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Assortment Optimization Under the Multinomial Logit Model with Sequential Offerings
INFORMS journal on computing, 2020We consider assortment optimization problems, where the choice process of a customer takes place in multiple stages. There is a finite number of stages. In each stage, we offer an assortment of products that does not overlap with the assortments offered ...
Nan Liu, Yuhang Ma, Huseyin Topaloglu
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Demand Estimation Under the Multinomial Logit Model from Sales Transaction Data
Manufacturing & Service Operations Management, 2020Problem definition: A major task in retail operations is to optimize the assortments exhibited to consumers. To this end, retailers need to understand customers’ preferences for different products.
Tarek Abdallah, Gustavo J. Vulcano
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Investigating influence factors of traffic violation using multinomial logit method
International Journal of Injury Control and Safety Promotion, 2020Deaths and injuries resulted from road traffic crashes remain a serious problem globally, and current trends suggest that this will continue to be the case in the foreseeable future mainly in developing countries.
Tefera Bahiru Ambo, Jian Ma, Chuanyun Fu
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Transportation Research Record: Journal of the Transportation Research Board, 2009
Statisticians along with other scientists have made significant computational advances that enable the estimation of formerly complex statistical models. The Bayesian inference framework combined with Markov chain Monte Carlo estimation methods such as the Gibbs sampler enable the estimation of discrete choice models such as the multinomial logit (MNL)
Washington, Simon +3 more
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Statisticians along with other scientists have made significant computational advances that enable the estimation of formerly complex statistical models. The Bayesian inference framework combined with Markov chain Monte Carlo estimation methods such as the Gibbs sampler enable the estimation of discrete choice models such as the multinomial logit (MNL)
Washington, Simon +3 more
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Optimizing Multinomial Logit Profit Functions
Management Science, 1996The multinomial logit model is a standard approach for determining the probability of purchase in product line problems. When the purchase probabilities are multiplied by product contribution margins, the resulting profit function is generally nonconcave.
Ward Hanson, Kipp Martin
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Product-Line Pricing Under Discrete Mixed Multinomial Logit Demand
Manufacturing & Service Operations Management, 2019We study a product-line price optimization problem with demand given by a discrete mixed multinomial logit (MMNL) model.
Hongmin Li +3 more
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Two-stage multinomial logit model
Expert Systems with Applications, 2011We suggest a two-stage multinomial logit model (TMLM) for incorporating and interpreting both the interaction and main effects in the model for multi-categorized responses. TMLM combines the robustness of multinomial logit model (MLM) with the good properties of decision tree (DT), which makes it possible to cluster homogeneous subjects and thus to ...
Jin-Hyung Kim, Mijung Kim
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