Product-Line Pricing Under Discrete Mixed Multinomial Logit Demand
Winner—2017 M&SOM Practice-Based Research Competition
Published Online:16 May 2018https://doi.org/10.1287/msom.2017.0675
References
- (2010) Joint dynamic pricing of multiple perishable products under consumer choice. Management Sci. 56(8):1345–1361.Link, Google Scholar
- (2013) Price competition under mixed multinomial logit demand functions. Management Sci. 59(8):1817–1835.Link, Google Scholar
- (2016) The exponomial choice model: A new alternative for assortment and price optimization. Oper. Res. 64(1):79–93.Link, Google Scholar
- (2008) Joint inventory and pricing decisions for an assortment. Oper. Res. 56(5):1247–1255.Link, Google Scholar
- (2016) A Markov chain approximation to choice modeling. Oper. Res. 64(4):886–905.Link, Google Scholar
- (1980) The effect of fuel economy standards on the U.S. automotive market: An hedonic demand analysis. Transportation Res. 14A(5–6):367–378.Crossref, Google Scholar
- (2004) Convex Optimization (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
- (1980) Measuring the societal impacts of automobile downsizing. Transportation Res. 14A(5–6):423–434.Crossref, Google Scholar
- (2009) Dynamic pricing and inventory control of substitute products. Manufacturing Service Oper. Management 11(2):317–339.Link, Google Scholar
- (2015) Bounding optimal expected revenues for assortment optimization under mixtures of multinomial logits. Production Oper. Management 24(10):1598–1620.Crossref, Google Scholar
- (2014) Multiproduct price optimization and competition under the nested logit model with product-differentiated price sensitivities. Oper. Res. 62(2):450–461.Link, Google Scholar
- (2003) A latent class model for discrete choice analysis: Contrasts with mixed logit. Transportation Res. Part B: Methodological 37(8):681–698.Crossref, Google Scholar
- (1983) A logit model of brand choice calibrated on scanner data. Marketing Sci. 2(3):203–238.Link, Google Scholar
- (1996) Optimizing multinomial logit profit functions. Management Sci. 42(7):992–1003.Link, Google Scholar
- (2005) Product line selection and pricing with modularity in design. Manufacturing Service Oper. Management 7(3):172–187.Link, Google Scholar
- (2015) Technical note—Pricing under the nested attraction model with a multistage choice structure. Oper. Res. 63(4):840–850.Link, Google Scholar
- (1989) A probabilistic choice model for market segmentation and elasticity structure. J. Marketing Res. 26(4):379–390.Crossref, Google Scholar
- (2011) Optimal and competitive assortments with endogenous pricing under hierarchical consumer choice models. Management Sci. 57(9):1546–1563.Link, Google Scholar
- (2015) PBM competition in pharmaceutical supply chain: Formulary design and drug pricing. Manufacturing Service Oper. Management 17(4):511–526.Link, Google Scholar
- (2015) The d-level nested logit model: Assortment and price optimization problems. Oper. Res. 63(2):325–342.Link, Google Scholar
- (2011) Pricing multiple products with the multinomial logit and nested logit models: Concavity and implications. Manufacturing Service Oper. Management 13(4):549–563.Link, Google Scholar
- (2007) Joint pricing, assortment, and inventory decisions for a retailer’s product line. Naval Res. Logist. 54(3):315–330.Crossref, Google Scholar
- (1974) The measurement of urban travel demand. J. Public Econom. 3(4):303–328.Crossref, Google Scholar
- (1978) Modelling the choice of residential location. Karlqvist A, Lundqvist L, Snickars F, Weibull J, eds. Spatial Interaction Theory and Planning Models (North-Holland Publishing Company, Amsterdam), 75–96.Google Scholar
- (1980) Econometric models for probabilistic choice among products. J. Bus. 53(3):S13–S29.Crossref, Google Scholar
- (2000) Mixed MNL models for discrete response. J. Appl. Econometrics 15(5):447–470.Crossref, Google Scholar
- (2016) End-to-end predictive analytics and optimization in Ingram Micro’s two-tier distribution business. Interfaces 46(1):49–73.Link, Google Scholar
- (1999) Industrial pricing: Theory and managerial practice. Marketing Sci. 18(3):435–454.Link, Google Scholar
- (2005) Pricing and Revenue Optimization (Stanford University Press, Stanford, CA).Crossref, Google Scholar
- (2015) Approximation methods for pricing problems under the nested logit model with price bounds. INFORMS J. Comput. 27(2):335–357.Link, Google Scholar
- (2014) Assortment optimization under the multinomial logit model with random choice parameters. Production Oper. Management 23(11):2023–2039.Crossref, Google Scholar
- (2008) Practice prize winner—A nested logit model of product and transaction-type choice for planning automakers’ pricing and promotions. Marketing Sci. 27(4):545–566.Link, Google Scholar
- (2008) Chrysler and JD Power: Pioneering scientific price customization in the automobile industry. Interfaces 38(1):26–39.Link, Google Scholar
- (1981) Minimization by random search techniques. Math. Oper. Res. 6(1):19–30.Link, Google Scholar
- (2007) Demand management and inventory control for substitutable products. Working paper, Duke University, Durham, NC.Google Scholar
- (2003) Discrete Choice Methods with Simulation (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
- (1987) The demand for local telephone service: A fully discrete model of residential calling patterns and service choices. RAND J. Econom. 18(1):109–123.Crossref, Google Scholar
- (2012) Capacitated assortment and price optimization under the multinomial logit model. Oper. Res. Lett. 40(6):492–497.Crossref, Google Scholar

