Structural workshop paper discrete-choice models of consumer demand in marketing

Marketing Science

Volumn 30, Issue 6, 2011, Pages 977-996

  Chintagunta, Pradeep K ^a   Nair, Harikesh S ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

Demand models; Econometrics; Utility functions

Indexed keywords

EID: 83455228590     PISSN: 07322399     EISSN: 1526548X     Source Type: Journal    
DOI: 10.1287/mksc.1110.0674     Document Type: Review

References (122)

1. Ackerberg, D., L. Benkard, S. Berry, A. Pakes. 2007. Econometric tools for analyzing market outcomes. J. J. Heckman, E. E. Leamer, eds. Handbook of Econometrics, Vol. 6A. North-Holland, Amsterdam, 4172-4209.
2. Albuquerque, P., B. J. Bronnenberg. 2009. Estimating demand heterogeneity using aggregated data: An application to the frozen pizza category. Marketing Sci. 28(2) 356-372.
3. Allenby, G. M., P. E. Rossi. 1991. Quality perceptions and asymmetric switching between brands. Marketing Sci. 10(3) 185-205.
4. Allenby, G. M., P. E. Rossi. 1999. Marketing models of consumer heterogeneity. J. Econometrics 89(1-2) 57-78.
5. Allenby, G. M., M. J. Garratt, P. E. Rossi. 2010. A model for trade-up and change in considered brands. Marketing Sci. 29(1) 40-56.
6. Anderson, S. P., A. de Palma, F. Thisse. 1992. Discrete Choice Theory of Product Differentiation. MIT Press, Cambridge, MA.
7. Anderson, E., D. Simester. 2003. Effects of $9 price endings on retail sales: Evidence from field experiments. Quant. Marketing Econom. 1(1) 93-110.
8. Arora, N., G. M. Allenby, J. L. Ginter. 1998. A hierarchical Bayes model of primary and secondary demand. Marketing Sci. 17(1) 29-44.
9. Bajari, P., A. Hortacsu. 2005. Are structural estimates of auction models reasonable? Evidence from experimental data. J. Political Econom. 113(4) 703-741.
10. Bass, F. M. 1969. A new product growth model for consumer durables. Management Sci. 15(5) 215-227.
11. Benkard, C. L. 2004. A dynamic analysis of the market for widebodied commercial aircraft. Rev. Econom. Stud. 71(7) 581-611.
12. Berry, S., J. Levinsohn, A. Pakes. 1995. Automobile prices in market equilibrium. Econometrica 60(4) 841-890.
13. Bhat, C. R. 2008. The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions. Transportation Res. Part B 42(3) 274-303.
14. Bhat, C. R., A. R. Pinjari. 2010. The generalized multiple discretecontinuous extreme value (GMDCEV) model: Allowing for non-additively separable and flexible utility forms. Working paper, University of Texas at Austin, Austin.
15. Braun, M., A. Bonfrer. 2011. Scalable inference of customer similarities from interactions data using Dirichlet processes. Marketing Sci. 30(3) 513-531.
16. Briesch, R., R. Chintagunta, R. Matzkin. 2002. Semi-parametric estimation of brand choice behavior. J. Amer. Statist. Assoc. 97(460) 973-983.
17. Briesch, R., R. Chintagunta, R. Matzkin. 2010. Nonparametric discrete choice models with unobserved heterogeneity. J. Bus. Econom. Statist. 28(2) 291-307.
18. Bronnenberg, B. J., M. Kruger, C. F. Mela. 2008. The IRI academic data set. Marketing Sci. 27(4) 745-748.
19. Bronnenberg, B. J., J.-P. H. Dubé, M. Gentzkow. 2011. The evolution of brand preferences: Evidence from consumer migration. Amer. Econom. Rev. Forthcoming.
20. Chan, T. Y. 2005. Estimating a continuous hedonic-choice model with an application to demand for soft drinks. RAND J. Econom. 37(2) 466-482.
21. Chan, T., V. Padmanabhan, P. B. Seetharaman. 2007. An econometric model of location and pricing in the gasoline market. J. Marketing Res. 44(4) 622-635.
22. Chatterjee, R., J. Eliashberg. 1990. The innovation diffusion process in a heterogeneous population: A micromodeling approach. Management Sci. 36(9) 1057-1079.
23. Chiang, J. 1991. A simultaneous approach to the whether, what, and how much to buy questions. Marketing Sci. 10(4) 297-315.
24. Chiang, J., J.-F. Lee. 1992. Discrete/continuous models of consumer demand with binding nonnegativity constraints. J. Econometrics 54(1-3) 79-93.
25. Chintagunta, P. K. 1993. Investigating purchase incidence, brand choice and purchase quantity decisions of households. Marketing Sci. 12(2) 184-208.
26. Chintagunta, P., R. Jiang, G. Jin. 2009. Information, learning and drug diffusion: The case of Cox-2 inhibitors. Quant. Marketing Econom. 7(4) 399-443.
27. Chintagunta, P., T. Erdem, P. E. Rossi, M. Wedel. 2006. Structural modeling in marketing: A review and assessment. Marketing Sci. 25(6) 581-605.
28. Christiansen, L. R, D. W. Jorgensen, L. J. Lau. 1975. Transcendental logarithmic utility functions. Amer. Econom. Rev. 65(3) 367-383.
29. Cho, S., J. Rust. 2008. Is econometrics useful for private policy making? A case study of replacement policy at an auto rental company. J. Econometrics 145(1-2) 243-257.
30. Clements, K. W., E. A. Selvanathan. 1988. The Rotterdam demand model and its application in marketing. Marketing Sci. 7(1) 60-75.
31. Davis, P., R. Ribeiro. 2010. A simple globally consistent continuous demand model for market level data. Working paper, London School of Economics and Political Science, London.
32. Deaton, A., J. Muellbauer. 1980. Economics and Consumer Behavior. Cambridge University Press, Cambridge, UK.
33. Dekimpe, M., D. M. Hanssens. 1995. The persistence of marketing effects on sales. Marketing Sci. 14(1) 1-21.
34. Drèze, X., P. Nisol, N. J. Vilcassim. 2004. Do promotions increase store expenditures? A descriptive study of household shopping behavior. Quant. Marketing Econom. 2(1) 59-92.
35. Dubé, J.-P. 2004. Multiple discreteness and product differentiation: Demand for carbonated soft drinks. Marketing Sci. 23(1) 66-81.
36. Dubé, J.-P, G. Hitsch, P. Manchanda. 2005. An empirical model of advertising dynamics. Quant. Marketing Econom. 3(2) 107-144.
37. Dubé, J.-P. H., G. J. Hitsch, P. K. Chintagunta. 2010a. Tipping and concentration in markets with indirect network effects. Marketing Sci. 29(2) 216-249.
38. Dubé, J.-P., G. Hitsch, P. Jindal. 2010b. Estimating durable goods adoption decisions from stated preference data. Working paper, University of Chicago, Chicago.
39. Dubé, J.-P., P. Chintagunta, B. Bronnenberg, R. Goettler, A. Petrin, P. B. Seetheraman, K. Sudhir, R. Thomadsen, Y. Zhao. 2002. Structural applications of the discrete choice model. Marketing Lett. 13(3) 207-220.
40. Dubin, J. A., D. L. McFadden. 1984. An econometric analysis of electricity appliance holdings and consumption. Econometrica 52(2) 345-362.
41. Eckstein, Z., D. Horsky, Y. Raban. 1988. An empirical dynamic model of optimal brand choice. Working paper, Tel Aviv University, Tel Aviv, Israel.
42. Ellickson, P., S. Misra. 2011. Enriching interactions: Incorporating outcome data into static discrete games. Quant. Marketing Econom. Forthcoming.
43. Erdem, T., M. P. Keane. 1996. Decision-making under uncertainty: Capturing dynamic brand choice processes in turbulent consumer goods markets. Marketing Sci. 15(1) 1-20.
44. Erdem, T., S. Imai, M. P. Keane. 2003. Brand and quantity choice dynamics under price uncertainty. Quant. Marketing Econom. 1(1) 5-64.
45. Erdem, T., M. P. Keane, J. Strebel. 2005. Learning about computers: An analysis of information search and technology choice. Quant. Marketing Econom. 3(3) 207-247.
46. Fong, W., S. J. Godsill. 2002. Sequential monte carlo simulation of dynamical models with slowly varying parameters: Application to audio. Proc. IEEE Internat. Conf. Acoustics, Speech, Signal Processing, Vol. 2. IEEE, Piscataway, NJ, 1605-1608.
47. Fong, N. M., D. I. Simester, E. T. Anderson. 2010. Private label vs. national brand price sensitivity: Evaluating non-experimental identification strategies. Working paper, MIT, Cambridge, MA.
48. Fox, J., K. il Kim, S. Ryan, P. Bajari. 2011. A simple nonparametric estimator for the distribution of random coefficients. Working paper, University of Michigan, Minneapolis.
49. Gauri, D., K. Sudhir, D. Talukdar. 2008. The temporal and spatial dimensions of price search: Insights from matching household survey and purchase data. J. Marketing Res 45(2) 226-240.
50. Gentzkow, M. 2007. Valuing new goods in a model with complementarity: Online newspapers. Amer. Econom. Rev. 97(3) 713-744.
51. Goettler, R. L., K. Clay. 2011. Tariff choice with consumer learning and switching costs. J. Marketing Res. 48(4) 633-652.
52. Goldfarb, A., M. Xiao. 2011. Who thinks about the competition? Managerial ability and strategic entry in U.S. local telephone markets. Amer. Econom. Rev. Forthcoming.
53. Gordon, B. R. 2009. A dynamic model of consumer replacement cycles in the PC processor industry. Marketing Sci. 28(5) 846-867.
54. Gorman, W. M. 1959. Separable utility and aggregation. Econometrica 27(3) 469-481.
55. Guadagni, P. M., J. D. C. Little. 1983. A logit model of brand choice calibrated on scanner data. Marketing Sci. 2(3) 203-238.
56. Hajivassiliou, V. A., D. L. McFadden, P. Ruud. 1996. Simulation of multivariate normal rectangle probabilities and their derivatives. J. Econometrics 72(1-2) 85-134.
57. Hanemann, W. M. 1984. Discrete/continuous models of consumer demand. Econometrica 52(3) 541-561.
58. Hartmann, W. 2006. Intertemporal effects of consumption and their implications for demand elasticity estimates. Quant. Marketing Econom. 4(4) 325-349.
59. Hartmann, W. R., H. S. Nair. 2010. Retail competition and the dynamics of demand for tied goods. Marketing Sci. 29(2) 366-386.
60. Hartmann, W., H. S. Nair, S. Narayanan. 2011. Identifying causal marketing mix effects using a regression discontinuity design. Marketing Sci. 30(6) 1079-1097.
61. Hausman, J. A. 1985. The econometrics of nonlinear budget sets. Econometrica 53(6) 1255-1282.
62. Hendel, I. 1999. Estimating multiple-discrete choice models: An application to computerization returns. Rev. Econom. Stud. 66(2) 423-446.
63. Hendel, I., A. Nevo. 2006. Measuring the implications of sales and consumer inventory behavior. Econometrica 74(6) 1637-1673.
64. Hitsch, G. J. 2006. An empirical model of optimal dynamic product launch and exit under demand uncertainty. Marketing Sci. 25(1) 25-50.
65. Horsky, D. 1990. A diffusion model incorporating product benefits, price, income, and information. Marketing Sci. 9(4) 342-365.
66. Horsky, D., P. Nelson. 1992. New brand positioning and pricing in an oligopolistic market. Marketing Sci. 11(2) 133-153.
67. Horsky, D., S. Misra, P. Nelson. 2006. Observed and unobserved heterogeneity in brand-choice models. Marketing Sci. 25(4) 322-335.
68. Ishihara, M. 2010. Dynamic demand for new and used durable goods without physical depreciation: The case of Japanese video games. Working paper, New York University, New York.
69. Israilevich, G. 2004. Assessing supermarket product-line decisions: The impact of slotting fees. Quant. Marketing Econom. 2(2) 141-167.
70. Iyengar, R., C. Van den Bulte, T. W. Valente. 2011. Opinion leadership and social contagion in new product diffusion. Marketing Sci. 30(2) 195-212.
71. Keane, M. P. 1994. A computationally practical simulation estimator for panel data. Econometrica 62(1) 95-116.
72. Kim, J., G. M. Allenby, P. E. Rossi. 2002. Modeling consumer demand for variety. Marketing Sci. 21(3) 229-250.
73. Kim, J., G. M. Allenby, P. E. Rossi. 2007. Product attributes and models of multiple discreteness. J. Econometrics 138(1) 208-230.
74. Lee, L.-F., M. M. Pitt. 1986. Microeconometric demand systems with binding nonnegativity constraints: The dual approach. Econometrica 54(5) 1237-1242.
75. Lee, S., J. Kim, G. M. Allenby. 2010. A direct utility model for asymmetric complements. Working paper, Ohio State University, Columbus.
76. Lenk, P. J., W. S. DeSarbo, P. E. Green, M. R. Young. 1996. Hierarchical Bayes conjoint analysis: Recovery of partworth heterogeneity from reduced experimental designs. Marketing Sci. 15(2) 173-191.
77. Liu, H. 2010. Dynamics of pricing in the video game console market: Skimming or penetration? J. Marketing Res. 47(3) 428-443.
78. Louviere, J. J., D. A. Hensher, J. D. Swait. 2000. Stated Choice Methods: Analysis and Application. Cambridge University Press, Cambridge, UK.
79. Mäler, K.-G. 1974. Environmental Economics: A Theoretical Inquiry. Johns Hopkins University Press for Resources for the Future, Baltimore.
80. Mehta, N., X. Chen, O. Narsimhan. 2010. Examining demand elasticities in Hanemann's framework: A theoretical and empirical analysis. Marketing Sci. 29(3) 422-437.
81. Mela, C. F., S. Gupta, D. R. Lehmann. 1997. The long-term impact of promotion and advertising on consumer brand choice. J. Marketing Res. 34(2) 248-261.
82. Melnikov, O. 2000. Demand for differentiated durable products: The case of the U.S. computer printer market. Working paper, Yale University, New Haven, CT.
83. Miller, R. A. 1984. Job matching and occupational choice. J. Political Econom. 92(6) 1086-1120.
84. Misra, S. 2011. Nonparametric identification in marketing. Working paper, Simon School of Business, University of Rochester, Rochester, NY.
85. Misra, S., H. S. Nair. 2011. A structural model of sales-force compensation dynamics: Estimation and field implementation. Quant. Marketing Econom. 9(3) 211-257.
86. Montgomery, A. L., P. E. Rossi. 1999. Estimating price elasticities with theory-based priors. J. Marketing Res. 36(4) 413-423.
87. Morton, F. S., F. Zettelmeyer, J. Silva-Risso. 2003. Consumer information and discrimination: Does the Internet affect the pricing of new cars to women and minorities? Quant. Marketing Econom. 1(1) 65-92.
88. Melnikov, O. 2000. Demand for differentiated durable products: The case of the U.S. computer printer market. Working paper, Yale University, New Haven, CT.
89. Nair, H. S. 2007. Intertemporal price discrimination with forwardlooking consumers: Application to the US market for console video-games. Quant. Marketing Econom. 5(3) 239-292.
90. Nair, H. S., A. Rao. 2010. Dynamics of experience rating: Evidence from automobile insurance contracts. Working paper, Stanford University, Stanford, CA.
91. Nair, H., J.-P. Dubé, P. Chintagunta. 2005. Accounting for primary and secondary demand effects with aggregate data. Marketing Sci. 24(3) 440-460.
92. Nair, H. S., P. Manchanda, T. Bhatia. 2010. Asymmetric social interactions in prescription behavior: The role of opinion leaders. J. Marketing Res. 47(5) 883-895.
93. Nam, S., P. Manchanda, P. K. Chintagunta. 2010. The effect of signal quality and contiguous word of mouth on customer acquisition for a video-on-demand service. Marketing Sci. 29(4) 690-700.
94. Narayanan, S., P. Manchanda. 2009. Heterogeneous learning and the targeting of marketing communication for new products. Marketing Sci. 28(3) 424-441.
95. Netessine, S., C. S. Tang, eds. 2009. Consumer-Driven Demand and Operations Management Models. International Series in Operations Research and Management Science, Vol. 131. Springer, New York.
96. Orhun, A. Y. 2010. Spatial differentiation in the supermarket industry. Working paper, Ross School of Business, University of Michigan, Ann Arbor.
97. Osborne, M. 2011. Consumer learning, switching costs, and heterogeneity: A structural examination. Quant. Marketing Econom. 9(1) 25-70.
98. Pauwels, K., S. Srinivasan, P. H. Franses. 2007. When do price thresholds matter in retail categories? Marketing Sci. 26(1) 83-100.
99. Phaneuf, D. J., V. K. Smith. 2005. Recreation demand models. K.-G. Mäler, J. R. Vincent, eds. Handbook of Environmental Economics, Vol. 2. North-Holland, Amsterdam, 671-762.
100. Pinkse, J., M. Slade, C. Brett. 2002. Spatial price competition: A semiparametric approach. Econometrica 70(3) 1111-1153.
101. Ratchford, B. T. 2001. The economics of consumer knowledge. J. Consumer Res. 27(4) 397-411.
102. Reiss, P. C., F. A. Wolak. 2007. Structural econometric modeling: Rationales and examples from industrial organization. J. J. Heckman, E. E. Leamer, eds. Handbook of Econometrics, Vol. 6A. North-Holland, Amsterdam, 4277-4415.
103. Rossi, P., G. Allenby, R. McCulloch. 2005. Bayesian Statistics and Marketing. John Wiley & Sons, Chichester, UK.
104. Roy, R. 1947. La distribution du revenu entre les divers biens. Econometrica 15(3) 205-225.
105. Ryan, S. P., C. Tucker. 2011. Heterogeneity and the dynamics of technology adoption. Quant. Marketing Econom., ePub ahead of print August 11.
106. Satomura, S., J. Kim, G. M. Allenby. 2011. Multiple-constraint choice models with corner and interior solutions. Marketing Sci. 30(3) 481-490.
107. Seiler, S. 2010. The impact of search costs on consumer behavior: A dynamic approach. Working paper, Stanford University, Stanford, CA.
108. Shin, S., S. Misra, D. Horsky. 2011. Disentangling preferences and learning in brand choice models. Marketing Sci. Forthcoming.
109. Shriver, S. 2011. Network effects in alternative fuel adoption: Empirical analysis of the market for ethanol. Working paper, Columbia University, New York.
110. Shiv, B., Z. Carmon, D. Ariely. 2005. Placebo effects of marketing actions: Consumers may get what they pay for. J. Marketing Res. 42(November) 383-393.
111. Song, I., P. K. Chintagunta. 2003. A micromodel of new product adoption with heterogeneous and forward-looking consumers: Application to the digital camera category. Quant. Marketing Econom. 1(4) 371-407.
112. Song, I., P. K. Chintagunta. 2007. A discrete-continuous model for multi-category purchase behavior of households. J. Marketing Res. 44(4) 595-612.
113. Sriram, S., P. K. Chintagunta, M. K. Agarwal. 2010. Investigating consumer purchase behavior in related technology product categories. Marketing Sci. 29(2) 291-314.
114. Sun, B. 2005. Promotion effect on endogenous consumption. Marketing Sci. 24(3) 430-443.
115. Teixeira, T. S., M. Wedel, R. Pieters. 2010. Moment-to-moment optimal branding in TV commercials: Preventing avoidance by pulsing. Marketing Sci. 29(3) 783-804.
116. Thomadsen, R. 2005. The effect of ownership structure on prices in geographically differentiated industries. RAND J. Econom. 36(4) 908-929.
117. Vilcassim, N. J. 1989. Extending the Rotterdam model to test hierarchical market structures. Marketing Sci. 8(2) 181-190.
118. von Haefen, R. H., D. J. Phaneuf. 2005. Kuhn-Tucker demand system approaches to non-market valuation. R. Scarpa, A. Alberini, eds. Applications of Simulation Methods in Environmental and Resource Economics. Springer, Dordrecht, The Netherlands, 135-158.
119. Wales, T., A. Woodland. 1983. Estimation of consumer demand systems with binding non-negativity constraints. J. Econometrics 21(3) 263-285.
120. Walsh, J. W. 1995. Flexibility in consumer purchasing for uncertain future tastes. Marketing Sci. 14(2) 148-165.
121. Zhang, J. 2010. The sound of silence: Observational learning in the U.S. kidney market. Marketing Sci. 29(2) 315-335.
122. Zhu, T., V. Singh. 2009. Spatial competition with endogenous location choices-An application to discount retailing. Quant. Marketing Econom. 7(1) 1-35.