Improving parameter estimates and model prediction by aggregate customization in choice experiments

Journal of Consumer Research

Volumn 28, Issue 2, 2001, Pages 273-283

  Arora, Neeraj ^a   Huber, Joel ^b  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b DUKE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0035538552     PISSN: 00935301     EISSN: None     Source Type: Journal    
DOI: 10.1086/322902     Document Type: Article

References (23)

1. Allenby, Greg M., Neeraj Arora, and James L. Ginter (1995), "Incorporating Prior Knowledge into the Design and Analysis of Conjoint Studies," Journal of Marketing Research, 32 (May), 152-162.
2. -, Neeraj Arora, and James L. Ginter (1998a), "Designing Informative Field Experiments," working paper, Department of Marketing, Ohio State University, Columbus, OH 43210.
3. -, Neeraj Arora, and James L. Ginter (1998b), "On the Heterogeneity of Demand," Journal of Marketing Research, 35 (August), 384-389.
4. Arora, Neeraj, Greg M. Allenby, and James L. Ginter (1998), "A Hierarchical Bayes Model of Primary and Secondary Demand," Marketing Science, 17 (1), 29-44.
5. Ben-Akiva, Moshe and Steven Lerman (1985), Discrete Choice Analysis, Cambridge, MA: MIT Press.
6. Bunch, David S., Jordan J. Louviere, and Don A. Anderson (1994), "A Comparison of Experimental Design Strategies for Multinomial Logit Models: The Case of Generic Attributes," working paper. Graduate School of Management, University of California, Davis, 95616.
7. Carson, Richard T., Jordan J. Louviere, Don A. Anderson, Phipps Arabie, David S. Bunch, David A. Hensher, Richard M. Johnson, Warren F. Kuhfeld, Dan Steinberg, Jeffrey Swait, Harry Timmermans, and James B. Wiley (1994), "Experimental Analysis of Choice," Marketing Letters, 5 (4), 351-367.
8. Cassella, George and Roger L. Berger (1990), Statistical Inference, Pacific Grove, CA: Wadsworth and Brooks/Cole.
9. Chib, Siddhartha and Edward Greenberg (1995), "Understanding the Metropolis-Hastings Algorithm," American Statistician, 49 (November), 327-335.
10. Elrod, Terry, Jordan J. Louviere, and Krishnakumar Davey (1992), "An Empirical Comparison of Ratings-Based and Choice-Based Conjoint Models" Journal of Marketing Research, 19 (August), 368-378.
11. Gelfand, Alan E. and Adrian F. M. Smith (1990), "Sampling-Based Approaches to Calculating Marginal Densities," Journal of the American Statistical Association, 87 (June), 523-532.
12. Harvey, Andrew C. (1989), The Econometric Analysis of Time Series, Cambridge, MA: MIT Press.
13. Huber, Joel and Klaus Zwerina (1996), "The Importance of Utility Balance in Efficient Choice Designs," Journal of Marketing Research, 33 (August), 307-317.
14. Kuhfeld, Warren F., Randall D. Tobias, and Mark Garratt (1994), "Efficient Experimental Design with Marketing Research Applications," Journal of Marketing Research, 31 (November), 545-557.
15. Lenk, Peter J., Wayne S. DeSarbo, Paul E. Green, and Martin R. Young (1996), "Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs," Marketing Science, 15 (2), 173-191.
16. Louviere, Jordan J. and George G. Woodworth (1983), "Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data," Journal of Marketing Research, 20 (November), 350-367.
17. McFadden, Daniel (1974), "Conditional Logit Analysis of Qualitative Choice Behavior," in Frontiers in Econometrics, ed. Paul Zarembka, New York: Academic Press, 105-142.
18. Rossi, Peter E., Robert E. McCulloch, and Greg M. Allenby (1996), "The Value of Purchase History Data in Target Marketing," Marketing Science, 15 (4), 321-340.
19. Sánder, Zsólt and Michel Wedel (2000), "Designing Conjoint Choice Experiments Using Managers' Prior Beliefs," working paper, University of Groningen, The Netherlands.
20. Silvey, Samuel D. (1980), Optimal Design, New York: Chapman & Hall.
21. Wedel, Michel, Wagner Kamakura, Neeraj Arora, Albert Bemmaor, Jeongwen Chiang, Terry Elrod, Rich Johnson, Peter Lenk, Scott Neslin, and Carsten Stig Poulsen (1999), "Heterogeneity and Bayesian Methods in Choice Modeling," Marketing Letters, 10 (3), 219-232.
22. Wittink, Dick R. and Trond Bergestuen (1999), "Forecasting with Conjoint Analysis," in Principles of Forecasting: A Handbook for Researchers and Practitioners, ed. J. Scott Armstrong, Norwell MA: Kluwer Academic, 147-167.
23. Zwerina, Klaus, Joel Huber, and Warren F. Kuhfeld (1996), "A General Method for Constructing Efficient Choice Designs," working paper, Fuqua School of Business, Duke University, Durham, NC 27708. Available from SAS Institute (http:// ftp.sas.com/techsup/download/technote/ts629.pdf).