Beyond the Endogeneity Bias: The Effect of Unmeasured Brand Characteristics on Household-Level Brand Choice Models

References

• Allenby G. M., Rossi P. E. Marketing models of consumer heterogeneity. J. Econometrics (1999) 89:57–78Crossref, Google Scholar
• Bajari P., Benkard C. L. Demand estimation with heterogeneous consumers and unobserved product characteristics: A hedonic approach. (2004) . Working paper, Duke University, Durham, NCGoogle Scholar
• Berry S. Estimating discrete-choice models of product differentiation. RAND J. Econom. (1994) 25:242–262Crossref, Google Scholar
• Berry S., Levinsohn J., Pakes A. Automobile prices in market equilibrium. Econometrica (1995) 63:841–890Crossref, Google Scholar
• Besanko D., Gupta S., Jain D. Logit demand estimation under competitive pricing behavior: An equilibrium framework. Management Sci. (1998) 44(November):1533–1547Link, Google Scholar
• Blundell R., Powell J. Endogeneity in semiparametric binary response models. (2001) . Working paper, University College London, London, U.KGoogle Scholar
• Chiang J. The simultaneous approach to the whether, what, and how much to buy questions. Marketing Sci. (1991) 10:297–315Link, Google Scholar
• Draganska M., Jain D. C. Structural models of competitive market behavior. Management Sci. (2002) 50:605–616Link, Google Scholar
• Dubé J. P. Multiple discreteness and product differentiation: Demand for carbonated soft drinks. Marketing Sci. (2004) 23(1):66–81Link, Google Scholar
• Elrod T., Keane M. P. A factor-analytic probit model for representing the market structure in panel data. J. Marketing Res. (1995) 32:1–16Crossref, Google Scholar
• Erdem T., Imai S., Keane M. P. A model of consumer brand and quantity choice dynamics under price uncertainty. Quant. Marketing Econom. (2003) 1(1):1–65Google Scholar
• Goolsbee A., Petrin A. The consumer gains from direct broadcast satellites and the competition with cable TV. Econometrica (2004) 72:351–381Crossref, Google Scholar
• Guadagni P. M., Little J. D. C. A logit model of brand choice calibrated on scanner data. Marketing Sci. (1983) 2:203–238Link, Google Scholar
• Hajivassiliou V., McFadden D. The method of simulated scores for the estimation of LDV models with an application to external debt crises. (1993) . Unpublished, University of California at Berkeley, Berkeley, CAGoogle Scholar
• Huber J., Train K. On the similarity of classical and Bayesian estimates of individual mean partworths. Marketing Lett. (2001) 12:259–269Crossref, Google Scholar
• Keane M., Rao C. R., Maddala G. S., Vinod D. Simulation estimation for panel data models with limited dependent variables. The Handbook of Statistics 11 Econometrics (1993) (Elsevier Science Publishers, Amsterdam, The Netherlands) 545–572Crossref, Google Scholar
• Keane M. P. Modeling heterogeneity and state dependence in consumer choice behavior. J. Bus. Econom. Statist. (1997) 15:310–327Crossref, Google Scholar
• Kim J., Allenby G. M., Rossi P. E. Modelling consumer demand for variety. Marketing Sci. (2002) 21:229–250Link, Google Scholar
• Kuksov D., Villas-Boas J. M. Endogeneity and individual consumer choice. (2003) . Working paper, Washington University, St. Louis, MOGoogle Scholar
• McFadden D., Manski C., McFadden D. Econometric models of probabilistic choice. Structural Analysis of Discrete Data with Econometric Applications (1981) (MIT Press, Cambridge, MA) Google Scholar
• McFadden D., Train K. Mixed MNL models for discrete responses. J. Appl. Econometrics (2000) 15:447–470Crossref, Google Scholar
• Mehta N., Rajiv S., Srinivasan K. Price uncertainty and consumer search: A structural model of consideration set formation. Marketing Sci. (2003) 22:58–84Link, Google Scholar
• Nevo A. Measuring market power in the ready-to-eat cereal industry. Econometrica (2001) 69(2):307–342Crossref, Google Scholar
• Petrin A., Train K. Omitted product attributes in discrete choice models. (2002) . Working paper, University of Chicago, Chicago, ILGoogle Scholar
• Revelt D., Train K. Customer-specific taste parameters and mixed logit. (1999) . Working paper, University of California at Berkeley, Berkeley, CAGoogle Scholar
• Rosen S. Hedonic prices and implicit markets: Product differentiation in pure competition. J. Political Econom. (1974) 82:34–55Crossref, Google Scholar
• Rossi P. E., McCulloch R. E., Allenby G. M. The value of purchase history data in target marketing. Marketing Sci. (1996) 15:321–340Link, Google Scholar
• Sudhir K. Structural analysis of competitive pricing in the presence of a strategic retailer. Marketing Sci. (2001) 20:244Link, Google Scholar
• Van Nierop E., Paap R., Bronnenberg B., Franses P. H., Wedel M. Modeling unobserved consideration sets for household panel data. (2001) . Working Paper 356, Marketing Studies Center, John E. Anderson Graduate School of Management, University of California at Los Angeles, Los Angeles, CAGoogle Scholar
• Villas-Boas M., Winer R. Endogeneity in brand choice models. Management Sci. (1999) 45(10):1324–1338Link, Google Scholar
• Villas-Boas M., Zhao Y. The ketchup marketplace: Retailer, manufacturers, and individual consumers. (2001) . Working paper, University of California at Berkeley, Berkeley, CAGoogle Scholar
• Yang S., Chen Y., Allenby G. Bayesian analysis of simultaneous demand and supply. Quant. Marketing Econom. (2003) 1(3):244–264Google Scholar