Learning models: An assessment of progress, challenges, and new developments

Marketing Science

Volumn 32, Issue 6, 2013, Pages 913-938

  Ching, Andrew T ^a   Erdem, Tülin ^b   Keane, Michael P ^c  

^a UNIVERSITY OF TORONTO   (Canada)

^b NEW YORK UNIVERSITY   (United States)

^c NUFFIELD COLLEGE   (United Kingdom)

Author keywords

Brand equity; Choice modeling; Dynamic programming; Learning models; Structural models

Indexed keywords

EID: 84888110290     PISSN: 07322399     EISSN: 1526548X     Source Type: Journal    
DOI: 10.1287/mksc.2013.0805     Document Type: Article

References (112)

1. Ackerberg D. (2003) Advertising, learning, and consumer choice in experience good markets: A structural empirical examination. Internat. Econom. Rev. 44(3):1007-1040.
2. Ackerberg D., Benkard L, Berry S, Pakes A (2007) Econometric tools for analyzing market outcomes. Heckman JJ, Leamer EE, eds. Handbook of Econometrics, Vol. 6A, Chapter 63 (North-Holland, Amsterdam).
3. Aguirregebirria V., Mira P (2010) Dynamic discrete choice structural models: A survey. J. Econometrics 156(1):38-67.
4. Anand B., Shachar R (2011) Advertising, the matchmaker. RAND J. Econom. 42(2):205-245.
5. Banerjee A. V (1992) A simple model of herd behavior. Quart. J. Econom. 107(3):797-817.
6. Berry S., Levinsohn J, Pakes A (1995) Automobile prices in market equilibrium. Econometrica 63(4):841-890.
7. Cai H., Chen Y, Fang H (2009) Observational learning: Evidence from a randomized natural field experiment. Amer. Econom. Rev. 99(3):864-882.
8. Camacho N., Donkers B, Stremersch S (2011) Predictably non-Bayesian: Quantifying salience effects in physician learning about drug quality. Marketing Sci. 30(2):305-320.
9. Chamberlain G. (1984) Panel data. Griliches Z, Intriligator MD, eds. Handbook of Econometrics, Vol. 2 (Elsevier Science, Amsterdam), 1247-1318.
10. Chan T., Hamiltion B (2006) Learning, private information, and the economic evaluation of randomized experiments. J. Political Econom. 114(6):997-1040.
11. Chan T., Narasimhan C, Xie Y (2013) Treatment effectiveness and side effects: A model of physician learning. Management Sci. 59(6):1309-1325.
12. Che H., Erdem T, Öncü S (2011) Periodic consumer learning and evolution of consumer brand preferences. Working paper, New York University, New York.
13. Chen X., Chen Y, Weinberg C (2013) Learning about movies: The impact of movie release types on the nationwide box office. J. Cultural Econom. 37(3):359-386.
14. Chernew M., Gowrisankaran G, Scanlon D (2008) Learning and the value of information: Evidence from health plan report cards. J. Econometrics 144(1):156-174.
15. Chevalier J., Goolsbee A (2009) Are durable goods consumers forward-looking? Evidence from college textbooks. Quart. J. Econom. 124(4):1853-1884.
16. Ching A., Ishihara M (2010) The effects of detailing on prescribing decisions under quality uncertainty. Quant. Marketing Econom. 8(2):123-165.
17. Ching A., Erdem T, Keane M (2009) The price consideration model of brand choice. J. Appl. Econometrics 24(3):393-420.
18. Ching A. T (2000) Dynamic equilibrium in the U.S. prescription drug market after patent expiration. Ph.D. dissertation, University of Minnesota, Minneapolis.
19. Ching A. T (2010a) Consumer learning and heterogeneity: Dynamics of demand for prescription drugs after patent expiration. Internat. J. Indust. Organ. 28(6):619-638.
20. Ching A. T (2010b) A dynamic oligopoly structural model for the prescription drug market after patent expiration. Internat. Econom. Rev. 51(4):1175-1207.
21. Ching A. T (2013) Comments on: "Social learning and peer effects in consumption: Evidence from movie sales" by E. Moretti. Working paper, Rotman School of Management, University of Toronto, Toronto.
22. Ching A. T, Ishihara M (2012) Measuring the informative and persuasive roles of detailing on prescribing decisions. Management Sci. 58(7):1374-1387.
23. Ching A. T, Erdem T, Keane M (2010) How much do consumers know about the quality of products? Evidence from the diaper market. Working paper, Rotman School of Management, University of Toronto, Toronto.
24. Ching A. T, Erdem T, Keane M (2012a) A simple approach to estimate the roles of learning and inventories in consumer choice. Working paper, Rotman School of Management, University of Toronto, Toronto.
25. Ching A. T, Clark R, Horstmann I, Lim H (2011) The effects of publicity on demand: The case of anti-cholesterol drugs. Working paper, Rotman School of Management, University of Toronto, Toronto. http://ssrn.com/abstractD1782055.
26. Ching A. T, Imai S, Ishihara M, Jain N (2012b) A practitioner's guide to Bayesian estimation of discrete choice dynamic programming models. Quant. Marketing Econom. 10(2):151-196.
27. Chintagunta P. K, Jing R, Jin GZ (2009) Information, learning, and drug diffusion: The case of Cox-2 inhibitors. Quant. Marketing Econom. 7(4):399-443.
28. Chintagunta P., Goettler R, Kim M (2012) New drug diffusion when forward-looking physicians learn from patient feedback and detailing. J. Marketing Res. 49(6):807-821.
29. Chung D., Steenburgh T, Sudhir K (2013) Do bonuses enhance sales productivity? A dynamic structural analysis of bonus-based compensation plans. Working paper, Harvard Business School, Boston.
30. Coscelli A., Shum M (2004) An empirical model of learning and patient spillover in new drug entry. J. Econometrics 122(2): 213-246.
31. Crawford G., Shum M (2005) Uncertainty and learning in pharmaceutical demand. Econometrica 73(4):1137-1173.
32. Deighton J. (1984) The interaction of advertising and evidence. J. Consumer Res. 11(3):763-770.
33. Dickstein M. (2012) Efficient provision of experience goods: Evidence from antidepressant choice. Working paper, Stanford University, Stanford, CA.
34. Dubé J. P, Hitsch G, Rossi P (2010) State dependence and alternative explanations for consumer inertia. RAND J. Econom. 41(1):417-445.
35. Eckstein Z., Horsky D, Raban Y (1988) An empirical dynamic model of brand choice. Working Paper 88, University of Rochester, Rochester, NY.
36. Erdem T. (1998) An empirical analysis of umbrella branding. J. Marketing Res. 35(3):339-351.
37. Erdem T., Keane MP (1996) Decision-making under uncertainty: Capturing dynamic brand choice processes in turbulent consumer goods markets. Marketing Sci. 15(1):1-20.
38. Erdem T., Swait J (1998) Brand equity as a signaling phenomenon. J. Consumer Psych. 7(2):131-157.
39. Erdem T., Imai S, Keane M (2003) Brand and quantity choice dynamics under price uncertainty. Quant. Marketing Econom. 1(1):5-64.
40. Erdem T., Katz M, Sun B (2010) A simple test for distinguishing between internal reference price theories. Quant. Marketing Econom. 8(3):303-332.
41. Erdem T., Keane MP, Sun B (2008) A dynamic model of brand choice when price and advertising signal product quality. Marketing Sci. 27(6):1111-1125.
42. Erdem T., Keane M, Öncü S, Strebel J (2005) Learning about computers: An analysis of information search and technology choice. Quant. Marketing Econom. 3(3):207-246.
43. Ericson R., Pakes A (1995) Markov-perfect industry dynamics: A framework for empirical work. Rev. Econom. Stud. 62(1): 53-82.
44. Fang H., Wang Y (2010) Estimating dynamic discrete choice models with hyperbolic discounting, with an application to mammography decisions. NBER Working Paper 16438, National Bureau of Economic Research, Cambridge, MA.
45. Fernandez J. M (2013) An empirical model of learning under ambiguity: The case of clinical trials. Internat. Econom. Rev. 54(2):549-573.
46. Ferreyra M. M, Kosenok G (2011) Learning about new products: An empirical study of physicians' behavior. Econom. Inquiry 49(3):876-898.
47. Geweke J., Keane M (2000) Bayesian inference for dynamic discrete choice models without the need for dynamic programming. Mariano R., Schuermann T, Weeks MJ, eds. Simulation-Based Inference and Econometrics: Methods and Applications (Cambridge University Press, Cambridge, UK), 100-131.
48. Geweke J., Keane M (2001) Computationally intensive methods for integration in econometrics. Heckman JJ, Leamer EE, eds. Handbook of Econometrics, Vol. 5 (Elsevier Science, Amsterdam), 3463-3568.
49. Gittins J. C, Jones DM (1979) A dynamic allocation index for the discounted multiarmed bandit problem. Biometrika 66(3):771-784.
50. Goettler R., Clay K (2011) Tariff choice with consumer learning and switching costs. J. Marketing Res. 48(4):633-652.
51. Grubb M., Osborne M (2012) Cellular service demand: Tariff choice, usage uncertainty, biased beliefs, learning, and bill shock. Working paper, MIT Sloan School of Management, Cambridge, MA.
52. Guadagni P. M, Little JDC (1983) A logit model of brand choice calibrated on scanner data. Marketing Sci. 2(3):203-238.
53. Heckman J. J (1981) Heterogeneity and state dependence. Rosen S, ed. Studies in Labor Markets (University of Chicago Press, Chicago), 91-140.
54. Heckman J. J (1997) Instrumental variables: A study of implicit behavioral assumptions used in making program evaluations. J. Human Resources 32(3):441-462.
55. Hendel I., Nevo A (2006) Measuring the implications of sales and consumer inventory behavior. Econometrica 74(6):1637-1673.
56. Hendel I., Nevo A (2013) Intertemporal price discrimination in storable goods markets. Amer. Econom. Rev. Forthcoming.
57. Hendricks K., Sorensen A (2009) Information and the skewness of music sales. J. Political Econom. 117(2):324-369.
58. Hitsch G. J (2006) An empirical model of optimal dynamic product launch and exit under demand uncertainty. Marketing Sci. 25(1):25-50.
59. Hoffman M., Burks S (2013) Training contracts, worker overconfidence, and the provision of firm-sponsored general training. Working paper, Yale School of Management, New Haven, CT.
60. Houser D. (2003) Bayesian analysis of a dynamic stochastic model of labor supply and saving. J. Econometrics 113(2):289-335.
61. Houser D., Keane M, McCabe K (2004) Behavior in a dynamic decision problem: An analysis of experimental evidence using a Bayesian type classification algorithm. Econometrica 72(3): 781-822.
62. Hu Y., Kayaba Y, Shum M (2013) Nonparametric learning rules from bandit experiments: The eyes have it! Games Econom. Behav. 81(September):215-231.
63. Imai S., Jain N, Ching A (2009) Bayesian estimation of dynamic discrete choice models. Econometrica 77(6):1865-1899.
64. Ishihara M., Ching AT (2012) Dynamic demand for new and used durable goods without physical depreciation: The case of Japanese video games. Working paper, Stern School of Business, New York University, New York. http://ssrn.com/ abstract=2189871.
65. Israel M. (2005) Services as experience goods: An empirical examination of consumer learning in automobile insurance. Amer. Econom. Rev. 95(5):1444-1463.
66. Iyengar R., Ansari A, Gupta S (2007) A model of consumer learning for service quality and usage. J. Marketing Res. 44(4):529-544.
67. Jovanovic B. (1979) Job matching and the theory of turnover. J. Political Econom. 87(5):972-990.
68. Kalra A., Li S, Zhang W (2011) Understanding responses to contradictory information about products. Marketing Sci. 30(6): 1098-1114.
69. Keane M. (1992) A note on identification in the multinomial probit model. J. Bus. Econom. Statist. 10(2):193-200.
70. Keane M. (1993) Simulation estimation for panel data models with limited dependent variables. Maddala GS, Rao CR, Vinod HD, eds. The Handbook of Statistics, Vol. 11 (North-Holland, Amsterdam), 545-571.
71. Keane M. (1994) A computationally practical simulation estimator for panel data. Econometrica 62(1):95-116.
72. Keane M. (2010a) Structural vs. atheoretic approaches to econometrics. J. Econometrics 156(1):3-20.
73. Keane M. (2010b) A structural perspective on the experimentalist school. J. Econom. Perspect. 24(2):47-58.
74. Keane M. P, Wolpin KI (1994) The solution and estimation of discrete choice dynamic programming models by simulation: Monte Carlo evidence. Rev. Econom. Statist. 76(4):648-672.
75. Keane M. P, Todd PE, Wolpin KI (2011) The structural estimation of behavioral models: Discrete choice dynamic programming methods and applications. Ashenfelter O, Card D, eds. Handbook of Labor Economics, Vol. 4A (Elsevier, San Diego), 331-461.
76. Keller K. (2002) Branding and brand equity. Weitz B, Wensley R, eds. Handbook of Marketing (Sage, London), 151-178.
77. Kihlstrom R., Riordan M (1984) Advertising as a signal. J. Political Econom. 92(3):427-450.
78. Knight B., Schiff N (2010) Momentum and social learning in presidential primaries. J. Political Econom. 118(6):1110-1150.
79. Koopmans T. C, Rubin H, Leipnik RB (1950) Measuring the equation systems of dynamic economics. Koopmans TC, ed. Cowles Commission Monograph 10: Statistical Inference in Dynamic Economic Models (John Wiley & Sons, New York), 53-237.
80. Leffler K. B (1981) Persuasion or information? The economics of prescription drug advertising. J. Law Econom. 24(1):45-74.
81. Lim H., Ching A (2012) A structural analysis of promotional mix, publicity and correlated learning: The case of statins. Working paper, University of Toronto, Toronto.
82. Marcoul P., Weninger Q (2008) Search and active learning with correlated information: Empirical evidence from mid-Atlantic clam fisherman. J. Econom. Dynam. Control 32(6):1921-1948.
83. Maskin E., Tirole J (1988) A theory of dynamic oligopoly, I and II. Econometrica 56(3):549-570.
84. Matzkin R. L (2007) Nonparametric identification. Heckman JJ, Leamer E. E, eds. Handbook of Econometrics, Vol. 6B (North-Holland Press, Amsterdam), 5307-5368.
85. McCulloch R, Polson N, Rossi P (2000) A Bayesian analysis of the multinomial probit model with fully identified parameters. J. Econometrics 99(1):173-193.
86. Mehta N., Chen X, Narasimhan O (2008) Informing, transforming, and persuading: Disentangling the multiple effects of advertising on brand choice decisions. Marketing Sci. 27(3):334-355.
87. Mehta N., Rajiv S, Srinivasan K (2004) The role of forgetting in memory-based choice decisions. Quant. Marketing Econom. 2(2):107-140.
88. Miller R. (1984) Job matching and occupational choice. J. Political Econom. 92(6):1086-1120.
89. Mira P. (2007) Uncertain infant mortality, learning, and life-cycle fertility. Internat. Econom. Rev. 48(3):809-846.
90. Miravete E. (2003) Choosing the wrong calling plan? Ignorance and learning. Amer. Econom. Rev. 93(1):297-310.
91. Moretti E. (2011) Social learning and peer effects in consumption: Evidence from movie sales. Rev. Econom. Stud. 78:356-393.
92. Narayanan S., Manchanda P (2009) Heterogeneous learning and the targeting of marketing communication for new products. Marketing Sci. 28(3):424-441.
93. Narayanan S., Chintagunta P, Miravete E (2007) The role of self selection, usage uncertainty, and learning in the demand for local telephone service. Quant. Marketing Econom. 5(1):1-34.
94. Narayanan S., Manchanda P, Chintagunta P (2005) Temporal differences in the role of marketing communication in new product categories. J. Marketing Res. 42(3):278-290.
95. Norets A. (2009) Notes and comments: Inference in dynamic discrete choice models with serially correlated unobserved state variables. Econometrica 77(5):1665-1682.
96. Osborne M. (2011) Consumer learning, switching costs, and heterogeneity: A structural examination. Quant. Marketing Econom. 9(1):25-46.
97. Pastorino E. (2012) Careers in firms: Estimating a model of learning, job assignment, and human capital acquisition. Research Department Staff Report 469, Federal Reserve Bank of Minneapolis, Minneapolis.
98. Roberts J. H, Urban GL (1988) Modeling multiattribute utility, risk, and belief dynamics for new consumer durable brand choice. Management Sci. 34(2):167-185.
99. Rust J. (1994) Structural estimation of markov decision processes. Engle R. F, McFadden DL, eds. Handbook of Econometrics, Vol. 4 (Elsevier Science, Amsterdam), 3081-3143.
100. Rust J. (2010) Comments on: "Structural vs. atheoretic approaches to econometrics" by Michael Keane. J. Econometrics 156(1):21-24.
101. Shin S., Misra S, Horsky D (2012) Disentangling preferences and learning in brand choice models. Marketing Sci. 31(1):115-137.
102. Sims C. A (1972) Money, income, and causality. Amer. Econom. Rev. 62(4):540-552.
103. Sridhar K., Bezawada R, Trivedi M (2012) Investigating the drivers of consumer cross-category learning for new products using multiple data sets. Marketing Sci. 31(4):668-688.
104. Stange K. (2012) An empirical investigation of the option value of college enrollment. Amer. Econom. J.: Appl. Econom. 4:49-84.
105. Stinebrickner T., Stinebrickner R (2012) Learning about academic ability and college dropout decision. J. Labor Econom. 30(4):707-748.
106. Watanabe Y. (2009) Learning and bargaining in dispute resolution: Theory and evidence for medical malpractice litigation. Working paper, Northwestern University, Evanston, IL.
107. Xiao M. (2010) Is quality accreditation effective? Evidence from the childcare market. Internat. J. Indust. Organ. 28(6):708-721.
108. Yang B., Ching AT (2013) Dynamics of consumer adoption of financial innovation: The case of ATM cards. Management Sci. Forthcoming.
109. Yang S., Zhao Y, Erdem T, Koh D (2010) Modeling consumer choice with dyadic learning and information sharing: An intrahousehold analysis. Working paper, Stern School of Business, New York University, New York.
110. Yao S., Mela CF, Chiang J, Chen Y (2012) Determining consumers' discount rates with field studies. J. Marketing Res. 49(6):822-841.
111. Zhang J. (2010) The sound of silence: Observational learning in the U.S. kidney market. Marketing Sci. 29(2):315-335.
112. Zhao Y., Zhao Y, Helsen K (2011) Consumer learning in a turbulent market environment: Modeling consumer choice dynamics after a product-harm crisis. J. Marketing Res. 48(2):255-267.