Marketing models of consumer heterogeneity

Journal of Econometrics

Volumn 89, Issue 1-2, 1998, Pages 57-78

  Allenby, Greg M ^a   Rossi, Peter E ^b  

^a OHIO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

Heterogeneity; Probit models; Random effects

Indexed keywords

EID: 0347192053     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-4076(98)00055-4     Document Type: Article

References (28)

1. Allenby, G., Arora, N., Ginter, J., 1998. On the heterogeneity of demand. Journal of Marketing Research, forthcoming.
2. Allenby, G., Ginter, J.L., 1995a. The effects of in-store displays and feature advertising on consideration sets. International Journal of Research in Marketing 12, 76-80.
3. Allenby, G., Ginter, J., 1995b. Using extremes to design products and segment markets. Journal of Marketing Research 32, 392-403.
4. Allenby, G., Lenk, P., 1994. Modeling household purchase behavior with logistic normal regression. JASA 89, 1218-1231.
5. Chamberlain, G., 1984. Panel data. In: Griliches, Intriligator (Eds.), Handbook of Econometrics. North-Holland, Amsterdam.
6. Chintagunta, P., Jain, D.C., Vilcassim, N.J., 1991. Investigating heterogeneity in brand preferences in logit models for panel data. Journal of Marketing Research 28, 417-428.
7. Gelfand, A. et al., 1990. Illustration of Bayesian inference in normal data models using Gibbs sampling. JASA 85, 972-985.
8. Gelfand, A., Smith, A., 1990. Sampling-based approaches to calculating marginal densities. JASA 85, 398-409.
9. Gelman, A., Rubin, D., 1992. A single series from the Gibbs sampler provides a false sense of security. In: Bernardo, J.M. et al. (Eds.), Bayesian Statistics 4. Oxford University Press, Oxford, pp. 625-632.
10. Geweke, J., Keane, M., Runkle, D., 1996. Statistical inference in the multinomial multiperiod probit model. Journal of Econometrics, forthcoming.
11. Gonul, F., Srinivasan, K., 1993. Modeling multiple sources of heterogeneity in multinomial logits: methodological and managerial issues. Marketing Science 12, 213-229.
12. Hajivassiliou, V., Ruud, P., 1994. Classical estimation methods for LDV models using simulation. In: Engle, McFadden (Eds.), Handbook of Econometrics. North-Holland, Amsterdam, pp. 2384-2438.
13. Hausman, J., Ruud, P., 1987. Specifying and testing econometric models for rank-ordered data. Journal of Econometrics 34, 83-104.
14. Hausman, J., Wise D. A., 1978. A conditional probit model for qualitative choice: discrete decisions recognizing interdependence and heterogeneous preferences. econometrica 46, 393-408.
15. Heckman, J., 1982. Statistical models for analysis of discrete panel data. In: Manski, McFadden (Eds.), Structural Analysis of Discrete Data. MIT Press, Cambridge, pp. 114-178.
16. Heckman, J., Singer, B., 1984. A method for minimizing the impact of distributional assumptions in econometric models for duration data. Econometrica 52, 271-320.
17. Kamakura, W., Russell, G., 1989. A probabilistic choice model for market segmentation and elasticity structure. Journal of Marketing Research 26, 379-390.
18. Lenk, P., DeSarbo, W., Green, P., Young, M., 1996. Hierarchical Bayes conjoint analysis: recovery of part worth heterogeneity from reduced experimental designs. Marketing Science 15, 173-191.
19. Mariano, R., Weeks, M., Schuermann, T. (Eds.), 1997. Simulation-Based Inference in Econometrics. Cambridge University Press, Cambridge, forthcoming.
20. McCulloch, R., Rossi, P., 1994. An exact likelihood analysis of the multinomial probit model. Journal of Econometrics 64, 207-240.
21. McCulloch, R., Rossi, P., 1996. Bayesian analysis of multinomial probit model. In: Mariano, Weeks, Schuermann (Eds.), Simulation-Based Inference in Econometrics. Cambridge University, Cambridge.
22. McCulloch, R., Rossi, P., Allenby, G., 1995. Hierarchical modeling of consumer heterogeneity: an application to target marketing. In: Kass, Singpurwalla (Eds.), Case Studies in Bayesian Statistics (1995). Springer, New York, pp. 323-350.
23. Newton, M., Raftery, A., 1994. Approximate Bayesian inference with the weighted likelihood bootstrap. JRSS B 56, 3-48.
24. Rossi, P., Allenby, G., 1993. A Bayesian approach to estimating household parameters. Journal of Marketing Research 30, 171-182.
25. Rossi, P., McCulloch, R., Allenby, G., 1996. On the value of household purchase history information in target marketing. Marketing Science 15, 321-340.
26. Schwarz, G., 1978. Estimating the dimension of a model. The Annals of Statistics 6, 461-464.
27. Tierney, L., 1991. Markov chains for exploring posterior distributions. Technical Report no. 560, School of Statistics, University of Minnesota.
28. Titterington, D., Smith, A.F.M., Makov, U.E., 1985. Statistical Analysis of Finite Mixture Distributions. Wiley, New York.