Mixed Logit Analysis of International Airline Choice

Author(s):  
Chieh-Hua Wen ◽  
Tan-Ni Chen ◽  
Wan-Wen Huang
2011 ◽  
Vol 43 (3) ◽  
pp. 621-630 ◽  
Author(s):  
Darren N. Moore ◽  
William H. Schneider ◽  
Peter T. Savolainen ◽  
Mohamadreza Farzaneh

2001 ◽  
Vol 41 (3) ◽  
pp. 475-505 ◽  
Author(s):  
Jan Rouwendal ◽  
Erik Meijer
Keyword(s):  

2018 ◽  
Vol 17 (3) ◽  
pp. 183-210 ◽  
Author(s):  
Carlos C. Bautista

A multidimensional poverty index is constructed for the Philippines using the Alkire-Foster methodology and data from a 2011 annual poverty indicators survey. This is disaggregated into urban and rural population groups, as well as by dimension and administrative region. At the province level, the study finds a positive relation between poverty incidence and intensity, but the highest intensity levels are experienced in areas where incidence is not that high relative to other areas. Provinces with high incomes generally have low poverty indices and the relationship appears to be nonlinear. An examination of household poverty using mixed logit analysis shows that poverty risk rises with household size. A substantial reduction of the risk is observed for households with heads who were able to matriculate high school. The household head's health status has a negative impact on the household's risk of being poor. These are contrasted with the results using the income poverty definition. Policy implications are drawn from the calculations and the econometric results.


Author(s):  
Alex Hainen

This paper examines 29,403 entering vehicles that rejected two or more headways for a total of 69,123 rejected headways. A detailed series of temporal parameters was established and used to estimate a mixed binary logit model and understand rejection/acceptance decisions. This technique allows for the parameter estimates to vary across the population and across the set of decisions that drivers made and suggests that drivers may modify their critical headway as they wait at the yield bar. The results from this paper indicate that future consideration of capacity using a dynamic critical headway could be useful in modeling and capacity estimation.


2021 ◽  
Vol 8 ◽  
Author(s):  
Sara Maruyama ◽  
Juyun Lim ◽  
Nadia A. Streletskaya

Consumer demand for clean label has risen in recent years. However, clean label foods with simple and minimalistic ingredient lists are often expensive to produce and/or may possess less desirable sensory qualities. Accordingly, understanding consumer preferences regarding the clean label trend would be of great interest to the food industry. Here we investigate how ingredient lists and associated sensory quality descriptions may influence consumer preferences using a hypothetical choice experiment. In particular, we test the impacts of four common stabilizers (carrageenan, corn starch, milk protein concentrate, and pectin) and textural characteristics on preferences and willingness to pay for plain yogurt. A total of 250 yogurt consumers participated in the study. The results of a mixed logit analysis suggest that clean labeling significantly increases the likelihood of consumer choice, while poor texture reduces consumer choice. More importantly, the negative impact of poor texture seems to be less significant for clean label yogurts compared to that for yogurts with longer ingredient lists. Among all stabilizers, corn starch in particular has a significant negative impact on consumer choice. The estimated average consumer willingness to pay for clean labels is between $2.54 and $3.53 for 32 oz yogurt formulations. Furthermore, clean labels minimize the negative impact of textural defects with consumers willing to pay an estimated premium of $1.61 for the family size yogurt with a simple ingredient list. Results of latent class modeling reveal two classes of consumers with similar patterns of demand who prefer clean labels and, on average, would rather purchase a yogurt with a textural defect than opt out of purchasing a yogurt entirely. Implications for the food industry are discussed.


Cancers ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 6110
Author(s):  
Zixuan Zhao ◽  
Lingbin Du ◽  
Le Wang ◽  
Youqing Wang ◽  
Yi Yang ◽  
...  

This study aimed to identify preferred lung cancer screening modalities in a Chinese population and predict uptake rates of different modalities. A discrete choice experiment questionnaire was administered to 392 Chinese individuals aged 50–74 years who were at high risk for lung cancer. Each choice set had two lung screening options and an option to opt-out, and respondents were asked to choose the most preferred one. Both mixed logit analysis and stepwise logistic analysis were conducted to explore whether preferences were related to respondent characteristics and identify which kinds of respondents were more likely to opt out of any screening. On mixed logit analysis, attributes that were predictive of choice at 1% level of statistical significance included the screening interval, screening venue, and out-of-pocket costs. The preferred screening modality seemed to be screening by low-dose computed tomography (LDCT) + blood test once a year in a general hospital at a cost of RMB 50; this could increase the uptake rate by 0.40 compared to the baseline setting. On stepwise logistic regression, those with no endowment insurance were more likely to opt out; those who were older and housewives/househusbands, and those with a health check habit and with commercial endowment insurance were less likely to opt out from a screening programme. There was considerable variance between real risk and self-perceived risk of lung cancer among respondents. Lung cancer screening uptake can be increased by offering various screening modalities, so as to help policymakers further design the screening modality.


2013 ◽  
Vol 50 ◽  
pp. 1073-1081 ◽  
Author(s):  
Joon-Ki Kim ◽  
Gudmundur F. Ulfarsson ◽  
Sungyop Kim ◽  
Venkataraman N. Shankar

2017 ◽  
Vol 108 ◽  
pp. 234-244 ◽  
Author(s):  
Chen Chen ◽  
Jason C. Anderson ◽  
Haizhong Wang ◽  
Yinhai Wang ◽  
Rachel Vogt ◽  
...  

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