Forecasting new product penetration with flexible substitution patterns

Journal of Econometrics

Volumn 89, Issue 1-2, 1998, Pages 109-129

  Brownstone, David ^a   Train, Kenneth ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Mixed logit; Probit; Random coefficients logit; Simulation

Indexed keywords

EID: 0348096622     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-4076(98)00057-8     Document Type: Article

References (33)

1. Allenby, G., Lenk, P., 1994. Modeling household purchase behavior with logistic normal regression. Journal of the American Statistical Association 89, 1218-1231.
2. Ben-Akiva, M., Bolduc, D., 1996. Multinomial probit with a logit kernel and a general parametetric specification of the covariance structure. Working paper, Department of Economics, MIT.
3. Ben-Akiva, M., Lerman, S., 1985. Discrete Choice Analysis. MIT Press, Cambridge, MA.
4. Bhat, C., 1996a. Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling. Working paper, Department of Civil Engineering, University of Massachusetts at Amherst.
5. Bhat, C., 1996b. Incorporating observed and unobserved heterogeneity in urban work travel mode choice modeling. Working paper, Department of Civil Engineering, University of Massachusetts at Amherst.
6. Boyd, J., Melman, R., 1980. The effect of fuel economy standards on the U.S. automotive market: An hedonic demand analysis. Transportation Research 14A, 367-378.
7. Brownstone, D., Bunch, D., Golob, T., Ren, W., 1996. Transactions choice model for forecasting demand for alternative-fuel vehicles. Research in Transportation Economics 4, 87-129.
8. Bunch, D., Bradley, M., 1995. Personal vehicle survey model results: Modeling reactions to hypothetical future alternative and conventional fuel vehicles. Working paper, Graduate School of Management, University of California, Davis.
9. Cardell, N., Dunbar, F., 1980. Measuring the societal impacts of automobile downsizing. Transportation Research 14A, 423-434.
10. Erdem, T., 1995. A dynamic analysis of market structure based on panel data. Working paper, Haas School of Business, University of California, Berkeley.
11. Elrod, T., 1988. Choice map: Inferring a product market map from observed choice behavior. Marketing Letters 2, 253-266.
12. Geweke, J., 1991. Efficient simulation from the multivariate normal and Student-t distributions subject to linear constraints. Computer Science and Statistics. Proceedings of the 23rd Symposium on the Interface. American Statistical Association, Alexandria, VA.
13. Green, P., Srinivasan, V., 1990. Conjoint analysis in marketing research: New developments and directions. Journal of Marketing 54, 3-19.
14. Hajivassiliou, V., McFadden, D., 1990. A method of simulated scores for the estimation of LDV models. Cowles Foundation Discussion paper #967, Yale University.
15. Hajivassiliou, V., McFadden, D., Ruud, P., 1992. Simulation of multivariate normal rectangle probabilities and their derivatives: theoretical and computational results. Cowles Foundation Discussion paper # 1021, Yale University.
16. Hajivassiliou, V., Ruud, P., 1994. Classical estimation methods for LDV models using simulation. In: Engle, R., McFadden, D., (Eds.), Handbook of Econometrics, vol. IV. Elsevier, New York.
17. Hensher, D., 1992. Stated-preference analysis of travel choices: The state of the practice. Transportation 21, 107-133.
18. Keane, M., 1990. Four essays in empirical macro and labor economics. Ph.D. Dissertation, Brown University.
19. Lee, L., 1992. On efficiency of methods of simulated moments and maximum simulated likelihood estimation of discrete response models. Econometrica 8, 518-552.
20. Louviere, J., 1994. Comjoint analysis. In: Bagozzi, R. (Ed.), Advanced Methods of Marketing Research. Blackwell Publishers, Cambridge, MA.
21. McFadden, D., 1973. Conditional logit analysis of qualitative choice behavior. In Zarembka, P. (Ed.), Frontiers in econometrics. Academic Press, New York.
22. McFadden, D., 1975. On independence, structure and simultaneity in transportation demand analysis. Working paper # 7511, Urban Travel Demand Forecasting Project, Institute of Transportation and Traffic Engineering, University of California, Berkeley.
23. McFadden, D., 1978. Modeling the choice of residential location. In Karquist, A. et al. (Eds.), Spatial Interaction Theory and Planning Models. North-Holland, Amsterdam.
24. McFadden, D., 1989. A method of simulated moments for estimation of the multinomial probit without numerical integration. Econometrica 57, 995-1026.
25. McFadden, D., Train, K., 1997. Mixed MNL models of discrete choice. Working paper, Department of Economics, University of California, Berkeley.
26. McFadden, D., Ruud, P., 1994. Estimation by simulation. Review of Economics and Statistics 76, 591-608.
27. Mehndiratta, S., 1996. Time-of-day effects in inter-city business travel. Ph.D. Thesis, Department of Civil Engineering, University of California, Berkeley.
28. Revelt, D., Train, K., 1998. Mixed logit with repeated choices: Households' choices of appliance efficiency level. Review of Economics and Statistics, 80 (4).
29. Stern, S., 1992. A method for smoothing simulated moments of discrete probabilities in multinomial probit models. Econometrica 60, 943-952.
30. Train, K., 1980. The potential market for non-gasoline-powered automobiles. Transportation Research 14A, 405-414.
31. Train, K., 1986. Qualitative Choice Analysis. MIT Press, Cambridge, MA.
32. Train, K., 1995. Simulation methods for probit and related models based on convenient error partitioning. Working paper, Department of Economics, University of California, Berkeley.
33. Train, K., 1998. Recreation demand models with taste differences over people. Land Economics, 74(2) 230-239.