Life-Cycle Position and Migration to Urban and Rural Areas: Estimations of a Mixed Logit Model on French Data

This study employs a mixed logit model approach to evaluate contributing factors that significantly affect the severity of head-on crashes. The head-on crash data are collected from Highway Safety Information System (HSIS) from 2005 to 2013 in North Carolina. The effects that vehicle, driver, roadway, and environmental characteristics have on the injury severity of head-on crashes are examined. The results of this research demonstrate that adverse weather, young drivers, rural roadways, and pickups are found to be better modeled as random-parameters at specific injury severity levels, while others should remain fixed. Also, the model results indicate that driving under the influence of alcohol or drugs, grade or curve roadway configuration, old drivers, high speed limit, motorcycles will increase the injury severity of head-on crashes. Adverse weather condition, two-way divided road, traffic control, young drivers, and pickups will decrease the injury severity of head-on crashes.

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Quality and Consumer Choice in Healthcare: Evidence from Kidney Transplantation

The B E Journal of Economic Analysis & Policy ◽

10.1515/1538-0653.1349 ◽

2006 ◽

Vol 5 (1) ◽

Cited By ~ 2

Author(s):

David H Howard

Keyword(s):

Kidney Transplantation ◽

Consumer Choice ◽

Logit Model ◽

Mixed Logit ◽

Mixed Logit Model ◽

Hospital Level ◽

Standard Deviation Increase ◽

Policy Debates ◽

Medicare Patients ◽

Insured Patients

AbstractMost studies of competition in health care focus on prices and costs, but concerns about quality play a central role in policy debates. If demand is inelastic to quality, then competition may reduce patient welfare. This study uses a dataset of patient registrations for kidney transplantation in conjunction with a mixed logit model to gauge consumers’ responsiveness to quality when choosing hospitals. Results indicate that at the hospital level, a one-standard deviation increase in the graft-failure rate is associated with a 6% decline in patient registrations. Privately-insured patients are more responsive to quality than Medicare patients, suggesting that insurers consider quality when contracting with providers.

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Economic Valuation of Local Environmental Amenities: A Case Study of Bahir Dar City, Amhara Regional State, Ethiopia

African Journal of Hospitality, Tourism and Leisure ◽

10.46222/ajhtl.19770720-127 ◽

2021 ◽

pp. 698-711

Author(s):

Mekuannet Worku ◽

Tefera Berihun Taw ◽

Malaku Tarekegn

Keyword(s):

Logit Model ◽

Mixed Logit ◽

Sampling Technique ◽

Preference Heterogeneity ◽

Primary Data ◽

Mixed Logit Model ◽

Palm Tree ◽

Bahir Dar ◽

Environmental Amenities ◽

Attribute Levels

This study estimates the economic value of local environmental amenities in Bahir Dar city which is one of the tourist attraction sites in Ethiopia. The study employed choice experiment valuation method by identifying four environmental amenities attributes (Lake Tana, urban park, palm tree and street cleanliness). The study used probability multi-stage random sampling technique. The analysis was based on primary data surveyed from households in Bahir Dar city. The study presented nine choices set for each respondent; each choice set has three alternatives including the status quo option. The study employed a mixed logit model. The result showed that all improved attribute levels have positive signs and statistically significant. As expected and consistent with economic theory the monetary cost has negative signs and significant. The mixed logit model showed that there is preference heterogeneity in some attribute levels. Based on the finding, the study recommends that the city administration and the concerned body expected to implement the hypothetical policy scenario so as to improve environmental amenity.

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Comparative Study on Value of a Statistical Life in Road Traffic Based on Mixed Logit Model

Green, Smart and Connected Transportation Systems - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-15-0644-4_68 ◽

2020 ◽

pp. 871-885

Author(s):

Wen-ge Liu ◽

Sheng-chuan Zhao

Keyword(s):

Comparative Study ◽

Logit Model ◽

Road Traffic ◽

Mixed Logit ◽

Mixed Logit Model ◽

Statistical Life

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Influence of Electronic-Docking Stations on China’s Dockless Bikesharing Programs: Evidence from Beijing

Sustainability ◽

10.3390/su12093588 ◽

2020 ◽

Vol 12 (9) ◽

pp. 3588

Author(s):

Xiaofang Yang ◽

Hai Jiang

Keyword(s):

Logit Model ◽

Regression Models ◽

Stated Preference ◽

Mixed Logit ◽

Mixed Logit Model ◽

Choice Probability ◽

Monthly Income ◽

The Sustainable Development ◽

Physical Exercises ◽

Research Questions

Electronic-docking stations have been proposed and tested by some Chinese cities to address the issue of disorderly parking of dockless bikesharing programs. We study the influence of electronic-docking stations on dockless bikesharing programs, and measure and explain riders’ preferences toward dockless bikesharing and electronic-docking stations. These research questions are addressed by a mixed logit model and regression models based on stated preference survey data collected in Beijing. We obtain some interesting empirical results which offer some guidance for governments and operators to facilitate the sustainable development of dockless bikesharing programs. For instance, we find that riders are sensitive to the density for electronic-docking stations, but somewhat indifferent to the rental fee of 1–2 yuan for each ride; the choice probability of riding a dockless shared bike drops by about 8–9% when access or egress time increases by 5 min; the fraction of riders interested in dockless bikesharing programs is close to 100%, while launching electronic-docking stations reduces this number to 88%; riders are willing to pay about 1.0–1.1 yuan to save access or egress time by 5 min; riders who live or work away from public transit stations or who often engage in physical exercises are interested in dockless bikesharing programs; and riders indifferent to the introduction of electronic-docking stations mainly include those who are above 26 years old and those with monthly income less than or equal to 8000 yuan.

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