Analysis of the Impact of Sample Size, Attribute Variance and Within-Sample Choice Distribution on the Estimation Accuracy of Multinomial Logit Models Using Simulated Data

2018 ◽  
Vol 27 (6) ◽  
pp. 771-789
Author(s):  
Minhui Zeng ◽  
Ming Zhong ◽  
John Douglas Hunt
Keyword(s):  
Sample Size ◽  
Simulated Data ◽  
Multinomial Logit ◽  
Estimation Accuracy ◽  
Logit Models ◽  
Multinomial Logit Models ◽  
The Impact

scholarly journals Willingness to Pay for Genetically Modified Oil, Cornflakes, and Salmon: Evidence from a U.S. Telephone Survey

2005 ◽  
Vol 37 (3) ◽  
pp. 701-719 ◽  
Author(s):  
Naoya Kaneko ◽  
Wen S. Chern
Keyword(s):  
Willingness To Pay ◽  
Contingent Valuation ◽  
Sample Size ◽  
Vegetable Oil ◽  
Telephone Survey ◽  
Genetically Modified ◽  
Multinomial Logit ◽  
Logit Models ◽  
Multinomial Logit Models ◽  
The Mean

This paper reports results from a U.S. national telephone survey on genetically modified foods (vegetable oil, cornflakes, and salmon). The survey featured a contingent valuation in which respondents chose between the GM and non-GM alternatives with an option of indifference. The binomial and multinomial logit models yielded estimated willingness to pay (WTP) to avoid the GM alternatives. Respondents were willing to pay 20.9%, 14.8%, 28.4%, and 29.7% of the base prices to avoid GM vegetable oil, GM cornflakes, GM-fed salmon, and GM salmon, respectively. The inclusion of indifference option could increase the sample size and moderate the mean WTP.

Stochastic Prediction in Multinomial Logit Models

2000 ◽  
Vol 46 (8) ◽  
pp. 1137-1144 ◽  
Author(s):  
Arthur Hsu ◽  
Ronald T. Wilcox
Keyword(s):  
Multinomial Logit ◽  
Logit Models ◽  
Multinomial Logit Models

scholarly journals Semiparametric multinomial logit models for analysing consumer choice behaviour

2007 ◽  
Vol 91 (3) ◽  
pp. 225-244 ◽  
Author(s):  
Thomas Kneib ◽  
Bernhard Baumgartner ◽  
Winfried J. Steiner
Keyword(s):  
Consumer Choice ◽  
Multinomial Logit ◽  
Logit Models ◽  
Choice Behaviour ◽  
Multinomial Logit Models
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