Utility independence versus IIA property in independent probit models

2018 ◽  
Vol 26 ◽  
pp. 41-47 ◽  
Author(s):  
Friederike Paetz ◽  
Winfried J. Steiner
Keyword(s):  
Probit Models ◽  
Utility Independence

scholarly journals An Analysis of Consumer Preferences for Value-Added Seafood Products Derived from Crawfish

2002 ◽  
Vol 31 (2) ◽  
pp. 157-170 ◽  
Author(s):  
R. Wes Harrison ◽  
Timothy Stringer ◽  
Witoon Prinyawiwatkul
Keyword(s):  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Value Added ◽  
Utility Functions ◽  
Ordered Probit ◽  
Probit Models ◽  
Seafood Products ◽  
Ordered Probit Models ◽  
Old Men

Conjoint analysis is used to evaluate consumer preferences for three consumer-ready products derived from crawfish. Utility functions are estimated using two-limit tobit and ordered probit models. The results show women prefer a baked nugget or popper type product, whereas 35- to 44-year-old men prefer a microwavable nugget or patty type product. The results also show little difference between part-worth estimates or predicted rankings for the tobit and ordered probit models, implying the results are not sensitive to assumptions regarding the ordinal and cardinal nature of respondent preferences.

scholarly journals Where Can Tourism-Led Growth and Economy-Driven Tourism Growth Occur?

2018 ◽  
Vol 58 (5) ◽  
pp. 760-773 ◽  
Author(s):  
Vera Shanshan Lin ◽  
Yang Yang ◽  
Gang Li
Keyword(s):  
Growth Patterns ◽  
International Tourism ◽  
Causal Relationships ◽  
Regional Economic ◽  
Empirical Results ◽  
Developed Economies ◽  
The Past ◽  
Factors Influencing ◽  
Probit Models ◽  
Practical Implications

In this study, we investigate the causal relationships between international tourism growth and regional economic expansion in China, and more importantly, disclose the factors determining the occurrence of these relationships. The empirical results reveal that 10 of 29 regions experienced tourism-led growth (TLG) during 1978 to 2013, whereas nine regions experienced economy-driven tourism growth (EDTG). Different from the past literature, this study uses Bayesian probit models to unveil the factors influencing these different growth patterns. Our results suggest that regions with less-developed economies, larger economic sizes, and covering larger geographic areas are more likely to experience TLG, and regions with less-developed economies are more likely to experience EDTG as well. Lastly, practical implications are provided.

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