Combining sources of preference data

Journal of Econometrics

Volumn 89, Issue 1-2, 1998, Pages 197-221

  Hensher, David ^a   Louviere, Jordan ^a   Swait, Joffre ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b Advanis Inc   (United States)

Author keywords

Choice data combination; Choice models; Discrete regression; Heteroscedasticity; Qualitative choice models; Stated preference

Indexed keywords

EID: 0347466726     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-4076(98)00061-X     Document Type: Article

References (67)

1. Adamowicz, W., Louviere, J., Williams, M., 1994. Combining stated and revealed preference methods for valuing environmental amenities. Journal of Environmental Economics and Management 26, 271-292.
2. Adamowicz, W., Swait, J., Boxall, P., Louviere, J., Williams, M., 1996. Perceptions versus objective measures of environmental quality in combined revealed and stated preference models of environmental valuation. Journal of Environmental Economics and Management 32, 65-84.
3. Allenby, G., Ginter, J., 1995. The effects of in-store displays and feature advertising on consideration sets. International Journal of Research in Marketing 12, 67-80.
4. Anderson, D.A., Wiley, J.B., 1992. Efficient choice set designs for estimating availability cross-effects models. Marketing Letters 3 (4), 357-370.
5. Anderson, S., de Palma, A., Thisse, J., 1992. Discrete Choice Theory of Product Differentiation. MIT Press, Cambridge.
6. Ben-Akiva, M., Lerman, S., 1985. Discrete Choice Analysis: Theory and Application to Predict Travel Demand. MIT Press, Cambridge.
7. Ben-Akiva, M., Morikawa, T., 1991. Estimation of travel demand models from multiple data sources. In: Koshi, M. (Ed.), Transportation and Traffic Theory, Proceedings of the 11th ISTTT. Elsevier, Amsterdam, pp. 461-476.
8. Bhat, C.R., 1995. A heteroscedastic extreme value model of intercity travel mode choice. Transportation Research 29B (6), 471-483.
9. Bhat, C.R., 1996. An endogenous segmentation mode choice model with an application to intercity travel. Transportation Science 31, 34-48.
10. Bradley, M., Daly, A., 1994. Use of the logit scaling approach to test rank-order and fatigue effects in stated preference data. Transportation 21 (2), 167-184.
11. Brazell, J., Louviere, J., 1997. Respondents' help, learning and fatigue. INFORMS Marketing Science Conference. University of California at Berkeley, Berkeley, CA.
12. Bunch, D., 1991. Estimability in the multinomial probit model. Transporation Research 25B (1), 1-12.
13. Bunch, D., Louviere, J., Anderson, D., 1996. A comparison of experimental design strategies for choice-based conjoint analysis with generic-attribute multinomial logit models. Unpublished working paper, UC Davis Graduate School of Management, May.
14. Carson, R., Louviere, J., Anderson, D., Arabie, P., Bunch, D., Hensher, D., Johnson, R., Kuhfeld, W., Steinberg, D., Swait, J., Timmermans, H., Wiley, J., 1994. Experimental analysis of choice. Marketing Letters 5 (4), 351-368.
15. Daganzo, C., 1980. Multinomial Probit. Academic Press, New York.
16. Daly, A., 1987. Estimating 'tree' logit models. Transportation Research B 21B, 251-267.
17. de Palma, A., Myers, G.M., Papageorgiou, Y.Y., 1994. Rational choice under an imperfect ability to choose. American Economic Review 84, 419-440.
18. Englin, J., Cameron, T.A., 1996. Augmenting travel cost models with contingent behavior data. Environmental and Resource Economics 7, 133-147.
19. Green, P., Srinivasan, V., 1978. Conjoint analysis in consumer research: Issues and outlook. Journal of Consumer Research 1, 61-68.
20. Green, P., Srinivasan, V., 1990. Conjoint analysis in marketing research: New developments and directions. Journal of Marketing 54 (4), 3-19.
21. Green, P., Wind, Y., 1971. Multiattribute Decisions in Marketing: A Measurement Approach. Dryden Press, Hinsdale, IL.
22. Greene, W., 1996. Heteroskedastic extreme value model for discrete choice. Working paper, New York University.
23. Hanemann, M., Kanninen, B., 1997. The statistical analysis of discrete-response CV data. In: Bateman, I.J., Willis, K.G. (Eds.), Valuing Environmental Preferences: Theory and Practice of the Contingent Valuation Method in the US, EC and Developing Countries. Oxford University Press, Oxford.
24. Hausman, J., Wise, D., 1978. AFDC participation: measured variables or unobserved characteristics, permanent or transitory. Working paper, Department of Economics, MIT, Cambridge, MA.
25. Hensher, D.A., Louviere, J., 1983. Identifying individual preferences for alternative international air fares: An application of functional measurement theory. Journal of Transport Economics and Policy XVII (2), 225-245.
26. Hensher, D., Johnson, L., 1981. Applied Discrete Choice Modelling. Croom Helm, London.
27. Hensher, D.A., 1994. Stated preference analysis of travel choices: The state of the practice. Transportation 21, 107-133.
28. Hensher, D.A., (in press). Extending valuation to controlled value functions and non-uniform scaling with generalised unobserved variances. In: Gärling, T., Laitila, T., Westin, K., (Eds.), Theoretical Foundations of Travel Choice Modeling. Pergamon, Oxford.
29. Hensher, D.A., (1998). Establishing a fare elasticity regime for urban passenger transport. Journal of Transport Economics and Policy 32 (2) 221-246.
30. Hensher, D.A., Barnard, P.O., 1990. The orthogonality issue in stated choice designs. In: Fischer, M., Nijkamp, P., Papageorgiou, Y. (Eds.), Spatial Choices and Processes. North-Holland, Amsterdam, pp. 265-278.
31. Hensher, D.A., Bradley, M., 1993. Using stated response data to enrich revealed preference discrete choice models. Marketing Letters 4 (2), 39-152.
32. Huber, J., Zwerina, K., 1996. The importance of utility balance in efficient choice set designs. Journal of Marketing Research 33, 307-317.
33. Kahneman, D., Tversky, A., 1979. Prospect theory: An analysis of decisions under risk. Econometrica 47, 263-291.
34. Kahneman, D., Tversky, A., 1984. Choices, values and frames. American Psychologist 39, 341-350.
35. Keane, M., 1995. Modelling heterogeneity and state dependence in consumer choice behavior. Working paper, Department of Economics, University of Minnesota.
36. Keller, K.L., 1993. Conceptualizing, measuring and managing customer-based brand equity. Journal of Marketing 57 (1), 1-22.
37. Krantz, D.H., Tversky, A., 1971. conjoint-measurement analysis of composition rules in psychology. Psychological Review 78, 151-169.
38. Krantz, D.H., Luce, R.D., Suppes, P., Tversky, A., 1971. Foundations of Measurement. Academic Press, New York.
39. Lancaster, K., 1966. A new Approach to consumer theory. Journal of political Economy 74, 132-157.
40. Louviere, J.J., 1995. Relating stated preference measures and models to choices in real markets: Calibration of CV responses. In: Bjornstad, D.J., Kahn, J.R. (Eds.), The Contingent Valuation of Environmental Resources. Edward Elgar, Brookfield, pp. 167-188.
41. Louviere, J.J., 1974. Predicting the evaluation of real stimulus objects from an abstract evaluation of their attributes: The case of trout streams. Journal of Applied Psychology 59 (5), 572-577.
42. Louviere, J.J., 1988a. Analyzing Decision Making: Metric Conjoint Analysis. Sage Publications, Newbury Park, CA.
43. Louviere, J.J., 1988b. Conjoint analysis modelling of stated preferences: A review of theory, methods, recent developments and external validity. Journal of Transport Economics and Policy 20, 93-119.
44. Louviere, J.J., 1994. Conjoint analysis. In: Bagozzi, R. (Ed.), Advanced Methods of Marketing Research. Blackwell Publishers, Cambridge, MA, pp. 223-259.
45. Louviere, J.J., Hensher, D.A., 1983. Using discrete choice models with experimental design data to forecast consumer demand for a unique cultural event. Journal of Consumer Research 10 (3), 348-361.
46. Louviere, J.J., Swait, J., 1996. Searching for regularities in choice processes, or the little constant that could. Working paper, Department of Marketing, Faculty of Economics, University of Sydney, August 1996.
47. Louviere, J.J., Woodworth, G., 1983. Design and analysis of simulated consumer choice or allocation experiments: An approach based on aggregate data. Journal of Marketing Research 20, 350-367.
48. Louviere, J.J., Fox, M., Moore, W., 1993. Cross-task validity comparisons of stated preference choice models. Marketing Letters 4 (3), 205-213.
49. Luce, R.D., 1959. Individual Choice Behavior: A Theoretical Analysis. Wiley, New York.
50. Lynch, J., 1985. Uniqueness issues in the decompositional modeling of multiattribute overall evaluations. Journal of Marketing Research 22, 1-19.
51. Machina, M.J., 1987. Choice under uncertainty: Problems solved and unsolved. Economic Perspectives 1 (1), 121-154.
52. McFadden, D., 1974. Conditional logit analysis of qualitative choice behaviour. In: Zarembka, P. (Ed.), Frontiers in Econometrics. Academic Press, New York, pp. 105-142.
53. McFadden, D., 1981. Econometric models of probabilistic choice. In: Manski, C., McFadden, D., (Eds.), Structural Analysis of Discrete Data with Econometric Applications. MIT Press, Cambridge, MA 198-272.
54. McFadden, D., Tye, W., Train, K., 1977. An application of diagnostic tests for independence from irrelevant alternatives property of the multinomial logit model. Transportation Research Record 637, 39-46.
55. Meyer, R., Levin, I., Louviere, J., 1984. Functional analysis of mode choice. Transportation Research Record 673, 1-7.
56. Morikawa, T., 1989. Incorporating stated preference data in travel demand analysis. Ph.D. Dissertation, Department of Civil Engineering, MIT.
57. Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T., 1986. Numerical Recipes. Cambridge University Press, Cambridge.
58. Restle, F., 1961. Psychology of Judgment and Choice. Wiley, New York.
59. Rushton, G., 1969. Analysis of spatial behaviour by revealed space preference. Annals of the Association of American Geographers 59, 391-400.
60. Small, K., 1987. A discrete choice model for ordered alternatives. econometrica 55 (2), 409-424.
61. Small, K., 1994. Approximate generalized extreme value models of discrete choice. Journal of Econometrics 62, 351-382.
62. Swait, J., Adamowicz, W., 1997. The effect of choice environment and task demands on consumer behavior: Discriminating between contribution and confusion. Working paper, Department. of Rural Economy, University of Alberta, 39 pp.
63. Swait, J., Louviere J., 1993. The role of the scale parameter in the estimation and use of multinomial logit models. Journal of Marketing Research 30, 305-314.
64. Swait, J., Stacey, E.C., 1996. Consumer brand assessment and assessment confidence in models of longitudinal choice behavior. Presented at the 1996 INFORMS Marketing Science Conference, 7-10 March, Gainesville, FL.
65. Swait, J., Erdem, T., Louviere, J., Dubelaar, C., 1993. The equalization price: A measure of consumer-perceived brand equity. International Journal of Research in Marketing 10, 23-45.
66. Swait, J., Louviere, J., Williams, M., 1994. A sequential approach to exploiting the combined strengths of SP and RP data: Application to freight shipper choice. Transportation 21 (2), 135-152.
67. Thurstone, L., 1927. A law of comparative judgment. Psychological Review 34, 273-286.