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published papers on the superiority of HB model?

Dear All,
Please, can anyone provide some published papers that support the superiority (in therms of estimates, correct predictions...) of HB compared with standard models such as multinomial logit, random parameter logit etc.
thank you very much,
Faical
asked Jul 18, 2012 by anonymous
retagged Sep 13, 2012 by Walter Williams

1 Answer

0 votes
From our side of things, we have an HB section in our technical papers library at https://www.sawtoothsoftware.com/education/techpap.shtml.
answered Jul 18, 2012 by Brian McEwan Gold Sawtooth Software, Inc. (38,315 points)
Thanks so much Brian. I already had a look on HB section. Just I was asking if someone is aware of papers published in peer reviewed journals. I am revising a paper and the reviewer asked for some references that show the superiority of HB compared with the random parameter logit.

Many Thanks

Faical
In the references of our CBC/HB help files, there are several papers that have been in JMR.  Here's the full list:


Allenby, G. M., Arora, N., and Ginter, J. L. (1995) "Incorporating Prior Knowledge into the Analysis of Conjoint Studies," Journal of Marketing Research, 32 (May) 152-62.  
 
  
 
 Allenby, G. M., Arora, N., and Ginter, J. L. (1998) "On the Heterogeneity of Demand," Journal of Marketing Research, 35, (August) 384-389.  
 
  
 
 Allenby, G. M. and Ginter, J. L. (1995) "Using Extremes to Design Products and Segment Markets," Journal of Marketing Research, 32, (November) 392-403.  
 
  
 
 Chib, S. and Greenberg, E. (1995) "Understanding the Metropolis-Hastings Algorithm," American Statistician, 49, (November) 327-335.  
 
  
 
 Cohen, Steve (2003), "Maximum Difference Scaling: Improved Measures of Importance and Preference for Segmentation," 2003 Sawtooth Software Conference Proceedings, 61-74.  
 
  
 
 Feller, William, "An Introduction to Probability Theory and Its Applications," Vol. 1, Second edition, Wiley 1957, page 104.  
 
  
 
 Gelman, A., Carlin, J. B., Stern H. S. and Rubin, D. B. (1995) "Bayesian Data Analysis," Chapman & Hall, Suffolk.  
 
  
 
 Hauser, J. R. (1978) "Testing and Accuracy, Usefulness, and Significance of Probabilistic Choice Models: An Information-Theoretic Approach," Operations Research, 26, (May-June), 406-421.  
 
  
 
 Huber, J., Orme B., and Miller, R. (1999) "Dealing with Product Similarity in Conjoint Simulations," Sawtooth Software Conference Proceedings, Sawtooth Software, Sequim.  
 
  
 
 Huber, J., Arora, N., and Johnson, R. (1998) "Capturing Heterogeneity in Consumer Choices," ART Forum, American Marketing Association.  
 
  
 
 Johnson, R. M. (1997) "ICE: Individual Choice Estimation," Sawtooth Software, Sequim.  
 
  
 
 Johnson, R. M. (1999), "The Joys and Sorrows of Implementing HB Methods for Conjoint Analysis," Technical Paper available at www.sawtoothsoftware.com.  
 
  
 
 Johnson, R. M. (2000), "Monotonicity Constraints in Conjoint Analysis With Hierarchical Bayes," Technical Paper available at www.sawtoothsoftware.com.  
 
  
 
 Lenk, P. J., DeSarbo, W. S., Green P. E. and Young, M. R. (1996) "Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs," Marketing Science, 15, 173-191.  
 
  
 
 McCullough, Richard Paul (2009), "Comparing Hierarchical Bayes and Latent Class Choice: Practical Issues for Sparse Data Sets," Sawtooth Software Conference Proceedings, Sawtooth Software, Sequim, WA.  
 
  
 
 Orme, Bryan (2005), "Accuracy of HB Estimation in MaxDiff Experiments," Technical paper available at https://www.sawtoothsoftware.com.  
 
  
 
 Pinnell, Jon (1999), "Should Choice Researchers Always Use 'Pick One' Respondent Tasks?" Sawtooth Software Conference Proceedings, Sawtooth Software, Sequim, WA.  
 
  
 
 Sa Lucas, Luis (2004), "Scale Development with MaxDiffs: A Case Study," 2004 Sawtooth Software Conference Proceedings, 69-82.  
 
  
 
 Sentis, K. & Li, L. (2000), "HB Plugging and Chugging: How Much Is Enough?" Sawtooth Software Conference Proceedings, Sawtooth Software, Sequim.  
 
  
 
 Sentis, K. & Li, L. (2001), "One Size Fits All or Custom Tailored: Which HB Fits Better?" Sawtooth Software Conference Proceedings, Sawtooth Software, Sequim.  
 
  
 
 Wittink, D. R., (2000), "Predictive Validity of Conjoint Analysis," Sawtooth Software Conference Proceedings, Sawtooth Software, Sequim.
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