scholarly journals Econometric Modelling: Basics

2020 ◽  
pp. 61-81
Author(s):  
Petr Mariel ◽  
David Hoyos ◽  
Jürgen Meyerhoff ◽  
Mikolaj Czajkowski ◽  
Thijs Dekker ◽  
...  
Keyword(s):  
Logit Model ◽  
Mixed Logit ◽  
Random Parameter ◽  
Estimation Procedure ◽  
Random Coefficients ◽  
Mixed Logit Model ◽  
Choice Data ◽  
Cost Attribute ◽  
Attribute Levels ◽  
The Cost

AbstractThis chapter addresses basic topics related to choice data analysis. It starts by describing the coding of attribute levels and choosing the functional form of the attributes in the utility function. Next, it focuses on econometric models with special attention devoted to the random parameter mixed logit model. In this context, the chapter compares different coefficient distributions to be used, addresses specifics of the cost attribute coefficient and it pays attention to potential correlations between random coefficients. Finally, topics related to the estimation procedure such as assuring its convergence or random draws are discussed.

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

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.

scholarly journals Exploring the Effect of Bicycle Infrastructure on Car Usage: A Case Study in Huhhot, China

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Meiying Jian ◽  
Xiaojuan Li ◽  
Jinxin Cao ◽  
Zhenyu Liu
Keyword(s):  
Logit Model ◽  
Stated Preference ◽  
Mixed Logit ◽  
Random Coefficients ◽  
Decision Makers ◽  
Walking Distance ◽  
Mixed Logit Model ◽  
Rational Allocation ◽  
Bicycle Infrastructure

This study aimed to quantitatively investigate the effect of bicycle infrastructure on car usage. The mixed logit model with random coefficients was used to capture the differences in individuals’ preferences. Based on data from a stated preference survey conducted in Huhhot, China, the estimated results showed that the mixed logit model provides better fitting than the standard logit model. Considerable variations were found in individuals’ attitudes toward the use of cars and bicycles. Riding a bicycle is preferred by most individuals. Furthermore, based on the constraints for maintaining the effect on car usage equal, the equivalent change in parking fees for improvement in bicycle infrastructures was estimated. The results showed that the effect of a 100 m reduction in walking distance to bicycle stations on the probability of driving is the same as that of an approximately 2.00 yuan/h (US 0.30$/h) increase in the parking fees, and the effect of providing bike lanes is in line with additional parking fees of approximately 3.00 yuan/h (US 0.45$/h). The findings of this study can be an important reference for decision makers to consider improvements in bicycle systems and rational allocation of infrastructure investment and road resources.

A Mixed Logit Model of the Relationship between Unionization and Right-to-Work Legislation

1979 ◽  
Vol 87 (3) ◽  
pp. 648-655 ◽  
Author(s):  
Ronald S. Warren, ◽  
Robert P. Strauss
Keyword(s):  
Logit Model ◽  
Mixed Logit ◽  
Mixed Logit Model ◽  
Right To Work ◽  
The Relationship

Modeling head-on crash severity on NCDOT freeways: a mixed logit model approach

2019 ◽  
Vol 46 (4) ◽  
pp. 322-328 ◽  
Author(s):  
Pengfei Liu ◽  
Wei (David) Fan
Keyword(s):  
Logit Model ◽  
Injury Severity ◽  
Safety Information ◽  
Mixed Logit ◽  
Weather Condition ◽  
Mixed Logit Model ◽  
Young Drivers ◽  
Adverse Weather Condition ◽  
Adverse Weather ◽  
Model Approach

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.

Quality and Consumer Choice in Healthcare: Evidence from Kidney Transplantation

2006 ◽  
Vol 5 (1) ◽  
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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