What Is the Impact of Nonrandomness on Random Choice Models?
Published Online:9 Mar 2021https://doi.org/10.1287/msom.2020.0951
References
- 2020. Heteroscedastic exponomial choice. Oper. Res. Forthcoming.Google Scholar
- (1992) Discrete Choice Theory of Product Differentiation (MIT Press, Cambridge, MA).Crossref, Google Scholar
- (1985) Discrete Choice Analysis: Theory and Application to Travel Demand (MIT Press, Cambridge, MA).Google Scholar
- (1990) The logit model of monopolistic competition: Brand diversity. J. Industry Econom. 38(4):397–415.Crossref, Google Scholar
- (2016) Product assortment and price competition under multinomial logit demand. Production Oper. Management 25(1):114–127.Crossref, Google Scholar
- (1995) A heteroscedastic extreme value model of intercity travel mode choice. Transportation Res. Part B: Methodological 29(6):471–483.Crossref, Google Scholar
- (2020) Management and effects of in-store promotional displays. Manufacturing Service Oper. Management 22(3):481–494.Link, Google Scholar
- (2020) Position ranking and auctions for online marketplaces. Management Sci. 66(8):3617–3634.Link, Google Scholar
- 1976. Improved multiple choice models. Urban Traffic Models PTRC Summer Meeting. University of Warwick, Warwick.Google Scholar
- (1952) A social equilibrium existence theorem. Proc. National Acad. Sci. USA 38(10):886–893.Crossref, Google Scholar
- (1977) Maximum likelihood from incomplete data via the em algorithm. J. Royal Statist. Soc. B 39(1):1–38.Crossref, Google Scholar
- (2009) Competition under generalized attraction models: Applications to quality competition under yield uncertainty. Management Sci. 55(12):2028–2043.Link, Google Scholar
- (2015) Capacity constraints across nests in assortment optimization under the nested logit model. Oper. Res. 63(4):812–822.Link, Google Scholar
- (2018) Capacitated assortment optimization under the multinomial logit model with nested consideration sets. Oper. Res. 66(2):380–391.Link, Google Scholar
- (2014) Price optimization and competition for multi-products under the nested logit model with product-differentiated price coefficients. Oper. Res. 62(2):450–461.Link, Google Scholar
- (2019) Threshold utility model with applications to retailing and discrete choice models. Working paper.Google Scholar
- (2020) Approximation algorithms for product framing and pricing. Oper. Res. 68(1):134–160.Link, Google Scholar
- (1979) Computers and Intractability: A Guide to the Theory of NP-Completeness (Macmillan Higher Education), New York, NY.Google Scholar
- (2019) Pricing for satisficing customers favoring products or availability while incorporating stockouts. Working paper.Google Scholar
- (2015) Pricing under the nested attraction model with a multi-stage choice structure. Oper. Res. 63(4):840–850.Link, Google Scholar
- (2020) Cross-category retailing management: Substitution and complementarity. Manufacturing Service Oper. Management Forthcoming.Google Scholar
- (2007) Demand estimation and assortment optimization under substitution: Methodology and application. Oper. Res. 55(6):1001–1021.Link, Google Scholar
- (2014) A greedy algorithm for the two-level nested logit model. Oper. Res. Lett. 42(5):319–324.Crossref, Google Scholar
- (2015) The d-level nested logit model: Assortment and price optimization problems. Oper. Res. 63(2):325–341.Link, Google Scholar
- (2011) Pricing multiple products with the multinomial logit and nested logit models: Concavity and implications. Manufacturing Service Oper. Management 13(4):549–564.Link, Google Scholar
- (2017) Optimal pricing of correlated product options under the paired combinatorial logit model. Oper. Res. 65(5):1215–1230.Link, Google Scholar
- (2020) Product design under multinomial logit choices: Optimization of quality and prices in an evolving product line. Manufacturing Service Oper. Management 22(5):1011–1025.Google Scholar
- (2019) Product-line pricing under discrete mixed multinomial logit demand. Manufacturing Service Oper. Management 21(1):14–28.Link, Google Scholar
- (1974) Conditional logit analysis of qualitative choice behavior. Zarembka P, ed. Frontiers in Econometrics (Academic Press, New York), 105–142.Google Scholar
- (1978) Modelling the choice of residential location. KarlvistA, Lundqvist L, Snickars F, Weibull J, eds. Spatial Interaction Theory and Planning Models (North-Holland, Amsterdam), 75–96.Google Scholar
- (2008) The EM Algorithm and Extensions, 2nd ed. (John Wiley & Sons, Hoboken, NJ).Crossref, Google Scholar
- (2014) Assortment optimization under the multinomial logit model with random choice parameters. Production Oper. Management 23(11):2023–2039.Crossref, Google Scholar
- (2004) Revenue management under a general discrete choice model of consumer behavior. Management Sci. 50(1):15–33.Link, Google Scholar
- (1998) Supermodularity and Complementarity (Princeton Univ. Press, NJ).Crossref, Google Scholar
- (2001) Oligopoly Pricing: Old Ideas and New Tools (MIT Press, Cambridge, MA).Google Scholar
- (2012) Estimating primary demand for substitutable products from sales transaction data. Oper. Res. 60(2):313–334.Link, Google Scholar
- (2018) When prospect theory meets consumer choice models: Assortment and pricing management with reference prices. Manufacturing Service Oper. Management 20(3):583–600.Link, Google Scholar
- (2020) Consumer choice and market expansion: Modeling, optimization and estimation. Oper. Res. Forthcoming.Google Scholar
- (2018) The impact of consumer search cost on assortment planning and pricing. Management Sci. 64(8):3649–3666.Link, Google Scholar
- (2019) Pricing ancillary service subscriptions. Management Sci. 65(10):4712–4732.Link, Google Scholar
- (1977) On the formation of travel demand models and economic evaluation measures of user benefit. Environmental Planning 9(3):285–344.Crossref, Google Scholar
- (1983) On the convergence properties of the em algorithm. Ann. Statist. 11(1):95–103.Crossref, Google Scholar
- (2019) Empirically estimating strategic behavior for hotel standby upgrade programs. Working paper.Google Scholar
- (2020) Assortment optimization under the pairwise combinatorial logit model. Oper. Res. 68(3):741–761.Link, Google Scholar

