scholarly journals Appendix B: Approximation of the Variance-Covariance Matrix for the Predicted Probabilities from Results of the Multinomial Logit Model

2012 ◽  
pp. 407-409
Keyword(s):  
Covariance Matrix ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Variance Covariance Matrix

Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters

2014 ◽  
Vol 23 (11) ◽  
pp. 2023-2039 ◽  
Author(s):  
Paat Rusmevichientong ◽  
David Shmoys ◽  
Chaoxu Tong ◽  
Huseyin Topaloglu
Keyword(s):  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Random Choice ◽  
Assortment Optimization

scholarly journals A multinomial logit model of college stopout and dropout behavior

2008 ◽  
Vol 27 (3) ◽  
pp. 319-331 ◽  
Author(s):  
Leslie S. Stratton ◽  
Dennis M. O’Toole ◽  
James N. Wetzel
Keyword(s):  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit

scholarly journals Do Online Shoppers Attend Farmers’ Markets?

2019 ◽  
Vol 11 (10) ◽  
pp. 39
Author(s):  
Jean D. Gumirakiza ◽  
Mara E. Schroering
Keyword(s):  
United States ◽  
Logit Model ◽  
Online Shopping ◽  
Multinomial Logit Model ◽  
The United States ◽  
Multinomial Logit ◽  
Marketing Strategies ◽  
Farmers Markets ◽  
Online Purchases ◽  
Online Shoppers

Online shopping is changing ways in which offline markets operate. As the online shopping for fresh produce takes off, it is important to investigate its effects on existing physical market outlets. The main objective for this study is to explain how often online shoppers attend farmers’ markets. The study uses data that was collected in 2016 from a sample of 1,205 consumers residing in the south region of the United States who made at least two online purchases within six months prior to participating in this study. This study employed a multinomial Logit model and Stata was used to run the regression. Results show that the majority of these online shoppers never attended a farmers’ market. The relative probabilities for the online shoppers to “never” attend farmers’ markets, attend “occasionally”, and “frequently” are 0.54, 0.28, and 0.18 respectively. We found that the lack of awareness, inconvenient place and/or time, and low interests are major reasons for nonattendance. This study suggests that farmers’ markets could greatly benefit by developing marketing strategies targeting online shoppers.

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