Demand Estimation Under Uncertain Consideration Sets

References

• Alba J, Chattopadhyay A (1985) Effects of context and postcategory cues on recall of competing brands. J. Marketing Res. 22(3):340–349.Crossref, Google Scholar
• Alptekinoğlu A, Semple JH (2016) The exponomial choice model: A new alternative for assortment and price optimization. Oper. Res. 64(1):79–93.Link, Google Scholar
• Aouad A, Farias VF, Levi R (2021) Assortment optimization under consider-then-choose choice models. Management Sci. 67(6):3368–3386.Link, Google Scholar
• Blanchet J, Gallego G, Goyal V (2016) A Markov chain approximation to choice modeling. Oper. Res. 64(4):886–905.Link, Google Scholar
• Block H, Marschak J (1960) Random orderings and stochastic theories of responses. Contributions Probability Statist. 2:97–132.Google Scholar
• Bronnenberg BJ, Kruger MW, Mela CF (2008) Database paper—The IRI marketing data set. Marketing Sci. 27(4):745–748.Link, Google Scholar
• Campbell BM (1969) The existence of evoked set and determinants of its magnitude in brand choice behavior. PhD thesis, Columbia University, New York.Google Scholar
• Davis JM, Gallego G, Topaloglu H (2014) Assortment optimization under variants of the nested logit model. Oper. Res. 62(2):250–273.Link, Google Scholar
• DeHoratius N, Raman A (2008) Inventory record inaccuracy: An empirical analysis. Management Sci. 54(4):627–641.Link, Google Scholar
• Duran MA, Grossmann IE (1986) An outer-approximation algorithm for a class of mixed-integer nonlinear programs. Math. Programming 36(3):307–339.Crossref, Google Scholar
• Farias VF, Jagabathula S, Shah D (2013) A nonparametric approach to modeling choice with limited data. Management Sci. 59(2):305–322.Link, Google Scholar
• Feldman J, Topaloglu H (2015) Bounding optimal expected revenues for assortment optimization under mixtures of multinomial logits. Production Oper. Management 24(10):1598–1620.Crossref, Google Scholar
• Feldman J, Topaloglu H (2018) Capacitated assortment optimization under the multinomial logit model with nested consideration sets. Oper. Res. 66(2):380–391.Link, Google Scholar
• Feldman J, Paul A, Topaloglu H (2019) Assortment optimization with small consideration sets. Oper. Res. 67(5):1283–1299.Link, Google Scholar
• Gallego G, Li A (2017) Attention, consideration then selection choice model. Preprint, submitted March 2017, https://dx.doi.org/10.2139/ssrn.2926942.Google Scholar
• Graham RL (1995) Handbook of Combinatorics (Elsevier, New York).Google Scholar
• Hauser JR (1978) Testing the accuracy, usefulness, and significance of probabilistic choice models: An information-theoretic approach. Oper. Res. 26(3):406–421.Link, Google Scholar
• Hauser JR (2014) Consideration-set heuristics. J. Bus. Res. 67(8):1688–1699.Crossref, Google Scholar
• Hauser JR, Wernerfelt B (1990) An evaluation cost model of consideration sets. J. Consumer Res. 16(4):393–408.Crossref, Google Scholar
• Hogarth RM, Karelaia N (2005) Simple models for multiattribute choice with many alternatives: When it does and does not pay to face trade-offs with binary attributes. Management Sci. 51(12):1860–1872.Link, Google Scholar
• Howard JA, Sheth JN (1969) The theory of buyer behavior. New York 63:145.Google Scholar
• Hoyer WD (1984) An examination of consumer decision making for a common repeat purchase product. J. Consumer Res. 11(3):822–829.Crossref, Google Scholar
• Jagabathula S, Rusmevichientong P (2017) A nonparametric joint assortment and price choice model. Management Sci. 63(9):23128–3145.Google Scholar
• Jagabathula S, Vulcano G (2018) A partial-order-based model to estimate individual preferences using panel data. Management Sci. 64(4):1609–1628.Link, Google Scholar
• Jagabathula S, Subramanian L, Venkataraman A (2020) A conditional gradient approach for nonparametric estimation of mixing distributions. Management Sci. 66(8):3635–3656.Link, Google Scholar
• Kang Y, Gershwin SB (2005) Information inaccuracy in inventory systems: Stock loss and stockout. IIE Trans. 37(9):843–859.Crossref, Google Scholar
• Lee E, Lee B (2012) Herding behavior in online p2p lending: An empirical investigation. Electronic Commerce Res. Appl. 11(5):495–503.Crossref, Google Scholar
• Lynch JG, Alba J, Hutchinson JW (1991) Memory and decision making. Kassarjian HH, Robertson TS, eds. Handbook of Consumer Theory and Research (Prentice-Hall Inc., Englewood Cliffs, NJ), 1–49.Google Scholar
• Manzini P, Mariotti M (2014) Stochastic choice and consideration sets. Econometrica 82(3):1153–1176.Crossref, Google Scholar
• Montgomery H, Svenson O (1976) On decision rules and information processing strategies for choices among multiattribute alternatives. Scandinavian J. Psych. 17(1):283–291.Crossref, Google Scholar
• Newman JP, Ferguson ME, Garrow LA, Jacobs TL (2014) Estimation of choice-based models using sales data from a single firm. Manufacturing Service Oper. Management 16(2):184–197.Link, Google Scholar
• Ratchford BT (1982) Cost-benefit models for explaining consumer choice and information seeking behavior. Management Sci. 28(2):197–212.Link, Google Scholar
• Roberts JH, Lattin JM (1997) Consideration: Review of research and prospects for future insights. J. Marketing Res. 34(3):406–410.Crossref, Google Scholar
• Sher I, Fox JT, il Kim J, Bajari P (2011) Partial identification of heterogeneity in preference orderings over discrete choices. Technical report, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Strauss D (1979) Some results on random utility models. J. Math. Psych. 20(1):35–52.Crossref, Google Scholar
• Swait J, Ben-Akiva M (1987) Incorporating random constraints in discrete models of choice set generation. Transportation Res. Part B: Methodological 21(2):91–102.Crossref, Google Scholar
• Talluri K, Van Ryzin G (2004) Revenue management under a general discrete choice model of consumer behavior. Management Sci. 50(1):15–33.Link, Google Scholar
• Tversky A (1972) Elimination by aspects: A theory of choice. Psych. Rev. 79(4):281.Crossref, Google Scholar
• Vulcano G, Van Ryzin G, Ratliff R (2012) Estimating primary demand for substitutable products from sales transaction data. Oper. Res. 60(2):313–334.Link, Google Scholar
• Wang R, Sahin O (2018) The impact of consumer search cost on assortment planning and pricing. Management Sci. 64(8):3649–3666.Link, Google Scholar
• Wright P, Barbour F (1977) Phased Decision Strategies: Sequels to an Initial Screening (Graduate School of Business, Stanford University, Stanford, CA).Google Scholar