Research Note—Estimating Heterogeneous Price Thresholds

References

• Bell D. R., Lattin J. M. Looking for loss aversion in scanner data: The confounding effect of price response heterogeneity. Marketing Sci. (2000) 19:185–200Link, Google Scholar
• Briesch R. A., Krishnamurthi L., Mazumdar T., Raj S. P. A comparative analysis of reference price models. J. Consumer Res. (1997) 24:202–214Crossref, Google Scholar
• Bucklin R. E., Gupta S. Brand choice, purchase incidence, and segmentation: An integrated modeling approach. J. Marketing Res. (1992) 29:201–215Crossref, Google Scholar
• Chang K., Siddarth S., Weinberg C. B. The impact of heterogeneity in purchase timing and price responsiveness on estimates of sticker shock effects. Marketing Sci. (1999) 18:178–192Link, Google Scholar
• Chen C. W. S., Lee J. C. Bayesian inference of threshold autoregressive models. J. Time Ser. Anal. (1995) 16:483–492Crossref, Google Scholar
• Ferreira P. E. A Bayesian analyis of a switching regression models: Known number of regimes. J. Amer. Statist. Assoc. (1975) 70:370–374Crossref, Google Scholar
• Gal-Or E., Gal-Or M. Customized advertising via a common media distributer. Marketing Sci. (2005) 24:241–253Link, Google Scholar
• Geweke J., Terui N. Bayesian threshold autoregressive models for nonlinear times series. J. Time Ser. Anal. (1993) 14:441–454Crossref, Google Scholar
• Gilbride T., Allenby G. M. A choice model with conjunctive, disjunctive, and compensatory screening rules. Marketing Sci. (2004) 21:391–404Link, 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
• Gupta S., Cooper L. G. Discounting of discounts and promotion thresholds. J. Consumer Res. (1992) 19:401–411Crossref, Google Scholar
• Han S. M., Gupta S., Lehmann D. R. Consumer price sensitivity and price thresholds. J. Retailing (2001) 77:435–456Crossref, Google Scholar
• Hardie B. G. S., Johnson E. J., Fader P. S. Modeling loss aversion and reference dependence effects on brand choice. Marketing Sci. (1993) 12:378–394Link, Google Scholar
• Helson H.Adaption-Level Theory (1964) (Harper & Row, New York) Google Scholar
• Kahneman D., Tversky A. Prospect theory: An analysis of decision under risk. Econometrica (1979) 47:263–291Crossref, Google Scholar
• Kalwani M. U., Yim C. K. Consumer price and promotion expectations: An experimental study. J. Marketing Res. (1992) 29:90–100Crossref, Google Scholar
• Kalyanaram G., Little J. D. C. An empirical analysis of latitude of price acceptance in consumer package goods. J. Consumer Res. (1994) 21:408–418Crossref, Google Scholar
• Keane M. P. Modeling heterogeneity and state dependence in consumer choice behavior. J. Bus. Econom. Statist. (1997) 15:310–327Crossref, Google Scholar
• Leichty J. C., Fong D. K. H., DeSarbo W. S. Dynamic models incorporating individual heterogeneity: Utility evolution in conjoint analysis. Marketing Sci. (2005) 24:285–293Link, Google Scholar
• Mayhew G. E., Winer R. S. An empirical analysis of internal and external reference price using scanner data. J. Consumer Res. (1992) 19:62–70Crossref, Google Scholar
• Newton M. A., Raftery A. E. Approximating Bayesian inference with the weighted likelihood bootstrap. J. Roy. Statist. Soc. (1994) B56:3–48Google Scholar
• Putler D. Incorporating reference price effects into a theory of consumer choice. Marketing Sci. (1992) 11:287–309Link, Google Scholar
• Rajendran K. N., Tellis G. J. Contexual and temporal components of reference price. J. Marketing (1994) 58:22–34Crossref, Google Scholar
• Rossi P. E., McCulloch R., Allenby G. The value of purchase history data in target marketing. Marketing Sci. (1996) 15:321–340Link, Google Scholar
• Sherif M., Taub D., Hovland C. I. Assimilation and contrast effects of anchoring stimuli on judgements. J. Experiment. Psych. (1958) 55:150–155Crossref, Google Scholar
• Winer R. A reference price model of brand choice for frequently purchased products. J. Consumer Res. (1986) 13:250–256Crossref, Google Scholar
• Yang S., Allenby G. M. A model for observation, structural, and household heterogeneity in panel data. Marketing Lett. (2000) 11:137–149Crossref, Google Scholar