A comparative analysis of freeway crash incident clearance time using random parameter and latent class hazard-based duration model

2021 ◽  
pp. 106303
Author(s):  
Naima Islam ◽  
Emmanuel K. Adanu ◽  
Alexander M. Hainen ◽  
Steve Burdette ◽  
Randy Smith ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Latent Class ◽  
Random Parameter ◽  
Duration Model ◽  
Clearance Time

scholarly journals Análisis econométrico de la heterogeneidad de las preferencias de los individuos: Aplicación a la valoración económica de la conservación del paisaje agrícola de montaña

2011 ◽  
Vol 8 (1) ◽  
pp. 103 ◽  
Author(s):  
Sergio Colombo ◽  
Nick Hanley
Keyword(s):  
Latent Class ◽  
Random Parameter ◽  
Choice Models ◽  
Latent Class Models ◽  
Preference Heterogeneity ◽  
Stated Choice ◽  
Empirical Application ◽  
Random Parameter Logit ◽  
Class Models

The need to account for respondents’ preference heterogeneity in stated choice models has motivated researchers to apply random parameter logit and latent class models. In this paper we compare these three alternative ways of incorporating preference heterogeneity in stated choice models and evaluate how the choice of model affects welfare estimates in a given empirical application. Finally, we discuss what criteria to follow to decide which approach is most appropriate.

Consumer preference for wine from hand-harvested grapes

2019 ◽  
Vol 122 (8) ◽  
pp. 2551-2567 ◽  
Author(s):  
Andrea Dominici ◽  
Fabio Boncinelli ◽  
Francesca Gerini ◽  
Enrico Marone
Keyword(s):  
Latent Class ◽  
Consumer Preferences ◽  
Latent Class Model ◽  
Interactive Effect ◽  
Consumer Preference ◽  
Random Parameter ◽  
Content Type ◽  
Organic Certification ◽  
Taste Heterogeneity ◽  
The Impact

Purpose The purpose of this paper is to investigate preferences for wine made from hand-harvested grapes, and the interactive effect between this attribute and organic certification. Design/methodology/approach Data were collected via an online choice experiment involving a sample of 408 Italian wine consumers. A random parameter logit was performed to estimate consumer preferences for wine attributes: harvest type, organic and the interaction between these. The experiment also includes geographical indications and price. Furthermore, a latent class model (LCM) is performed to investigate taste heterogeneity for the included wine attributes. Findings On average, consumers prefer the wine produced with hand-harvested grapes. The hypothesis of an interaction between organic and hand-harvested attributes is rejected. Using the LCM, the authors identify three segments with significant taste heterogeneity in terms of the magnitude and the sign of the parameters. Moreover, consumer attitudes towards food naturalness differ according to their belonging to the segments. Originality/value The novelty of this article is twofold. First, this study investigates, for the first time, the impact of the hand-harvested method on consumer wine preferences. Second, hand-harvesting and organic have independent values.

scholarly journals POSITIONING VIETNAM’S PANGASIUS CATFISH IN THE FRENCH MARKET USING DISCRETE CHOICE MODEL

2014 ◽  
Vol 17 (4) ◽  
pp. 96-111
Author(s):  
Thong Tien Nguyen ◽  
Hung Manh Nguyen
Keyword(s):  
Discrete Choice ◽  
Low Income ◽  
Latent Class ◽  
Choice Model ◽  
Latent Class Model ◽  
Random Parameter ◽  
Discrete Choice Model ◽  
Class Model ◽  
Additional Information ◽  
Random Parameter Model

The study used discrete choice model to investigate the position of Vietnam’s Pangasius catfish in the French market. Data was collected via a choice experiment designed for 12 aquaculture species familiar to French consumers. The random parameter model was estimated and used to calculate the share elasticity. The market position of the aquaculture products in this study was calculated based on the competitive clout, vulnerability scores, and ranked-order implicit values. The results show that Vietnam’s Pangasius has a low competitive clout, high vulnarability score, and low ranked-order implicit value. A latent class model was also estimated for comparison and acquisition of additional information. A strong segment of Pangasius (11.9%) is described by low income and education consumers, women at mid-age dominated, and family with children. To improve the Pangasius position and image in the international market, Vietnam needs promotional and marketing campaigns at global level for the product.

Patient Preferences Concerning Alternative Treatments for Neuroendocrine Tumors: Results of the “PIANO-Study”

2019 ◽  
Vol 35 (03) ◽  
pp. 243-251
Author(s):  
Axel C. Mühlbacher ◽  
Christin Juhnke
Keyword(s):  
Overall Survival ◽  
Neuroendocrine Tumors ◽  
Patient Preferences ◽  
Latent Class ◽  
Malignant Tumors ◽  
Random Parameter ◽  
Latent Class Models ◽  
Response To Treatment ◽  
Therapeutic Decisions ◽  
Random Parameter Logit

AbstractObjectivesNeuroendocrine tumors (NETs) are rare, slow-growing malignant tumors. So far, there are no data on patient preferences regarding its therapy. This empirical study aimed to elicit patient preferences in the drug treatment of NET.MethodsBased on qualitative patient interviews and an analytic hierarchy process, six patient-relevant attributes were analyzed and weighted using a discrete-choice experiment. Patients were recruited with the help of a NET support group. An experimental 3*3 + 6*3 –MNL design was created using NGene. The design consisted of eighty-four choices, divided into seven blocks. Participants were randomly assigned to these blocks. The analysis included random parameter logit and latent class models.ResultsA total of 275 participants (51.6 percent female; mean age, 58.4 years) were included. The preference analysis within the random parameter logit model, taking into account the 95 percent confidence interval, showed predominance for the attribute “overall survival.” The attributes “response to treatment” and “stabilization of tumor growth” followed. The side effects “nausea/vomiting” and “diarrhea” were considered of relatively equal importance. Latent class analysis of possible subgroup differences revealed three preference patterns.ConclusionsPreferences can influence therapeutic decisions. Preference analyses indicated that “overall survival” had the strongest influence, with participants clearly weighing outcome attributes higher than side effect attributes. In conclusion, mono-criterial decisions would not fully reflect patient perspectives.

scholarly journals Technological Differences, Theoretical Consistency, and Technical Efficiency: The Case of Hungarian Crop-Producing Farms

2020 ◽  
Vol 12 (3) ◽  
pp. 1147 ◽  
Author(s):  
Lajos Baráth ◽  
Imre Fertő ◽  
Heinrich Hockmann
Keyword(s):  
Technical Efficiency ◽  
Latent Class ◽  
Unobserved Heterogeneity ◽  
Explanatory Power ◽  
Random Parameter ◽  
Latent Class Models ◽  
Economic Conditions ◽  
Accurate Estimation ◽  
Regularity Conditions ◽  
Production Factors

Effective agricultural policymaking requires the accurate estimation of the production technology and efficiency of farms. However, several methodological issues should be considered when modelling production and estimating technical efficiency. In this paper, we focus on two of these—technological heterogeneity and theoretical consistency—as implied in microeconomic theory. Heterogeneity in the efficiency literature is often evaluated using a variable intercept model. However, in farm production, it is likely that heterogeneity also affects the marginal productivity of production factors. Some earlier papers investigated the effect of unobserved heterogeneity on technical efficiency using latent class models, but the application of random parameter models is limited. One of our main contributions in this paper is that we apply a modified version of a random parameter model to investigate the effect of unobserved heterogeneity on production factors and efficiency. The second aim was to impose regularity conditions into the model through introducing linear and non-linear constraints and thereby investigate their significance. Third, we examined the relationship between unobserved heterogeneity and the natural and economic conditions of farms. Our findings show that heterogeneity has a greater effect on variation in output than technical efficiency; furthermore, the violation of theoretical consistency significantly influences the results. These findings also reveal that the explanatory power of regional natural and economic conditions is significant but not sufficient on the variance of estimated unobserved heterogeneity.

scholarly journals Establishment and Application of an Evaluation Model for Orchid Island Sustainable Tourism Development

2019 ◽  
Vol 16 (5) ◽  
pp. 755 ◽  
Author(s):  
Han-Shen Chen
Keyword(s):  
Latent Class ◽  
Evaluation Model ◽  
Latent Class Model ◽  
Random Parameter ◽  
Sea Turtle ◽  
Tourism Industry ◽  
Ecological Resources ◽  
Flying Fish ◽  
Study Results ◽  
Orchid Island

Global warming and climate change increase the likelihood of weather-related natural disasters that threaten ecosystems and consequently affect the tourism industry which thrives on the natural attributes of island regions. Orchid Island, the study area, is home to the Yami (Tao) tribe—the only indigenous people of Taiwan with a marine culture. The island possesses rich geological and topographical features (such as coral reefs) and distinctive biological and ecological resources (such as the green sea turtle, flying fish, and Orchid Island scops owl), and organizes traditional festivals and activities (such as the flying fish festival) as well as tribal tourism activities. These factors contribute to its immense potential to become the new tourism hotspot. To study the factors enhancing tourist experiences, a random utility model was constructed using a choice experiment method (CEM) for the tourist resort on Orchid Island. The study results demonstrated that: (1) Limiting tourists to 600/day; employing professional tour guides; providing better recreational facilities; introducing additional experience-enhancing activities; and lowering contributions towards the professional ecosystem conservation trust fund will improve the overall effectiveness of attracting tourists to Orchid Island. The evaluation results from both conditional logit and random parameter logit models were similar; (2) the analysis results from the latent class model demonstrated that island tourism has significant market segmentation. The socioeconomic backgrounds of tourists, their experiences, and their preferences exhibit heterogeneity, with significant differences in willingness to pay for island tourism.

Minority households’ willingness to pay for public and private wildfire risk reduction in Florida

2017 ◽  
Vol 26 (8) ◽  
pp. 744 ◽  
Author(s):  
Armando González-Cabán ◽  
José J. Sánchez
Keyword(s):  
Willingness To Pay ◽  
Risk Reduction ◽  
Low Income ◽  
Cost Sharing ◽  
Latent Class ◽  
Latent Class Model ◽  
Random Parameter ◽  
Cost Share ◽  
Wildfire Risk ◽  
Private And Public

The purpose of this work is to estimate willingness to pay (WTP) for minority (African-American and Hispanic) homeowners in Florida for private and public wildfire risk-reduction programs and also to test for differences in response between the two groups. A random parameter logit and latent class model allowed us to determine if there is a difference in wildfire mitigation program preferences, whether WTP is higher for public or private actions for wildfire risk reduction, and whether households with personal experience and who perceive that they live in higher-risk areas have significantly higher WTP. We also compare Florida minority homeowners’ WTP values with Florida original homeowners’ estimates. Results suggest that Florida minority homeowners are willing to invest in public programs, with African-Americans WTP values at a higher rate than Hispanics. In addition, the highest priority for cost-sharing funds would go to low-income homeowners, especially to cost-share private actions on their own land. These results may help fire managers optimise allocation of scarce cost-sharing funds for public v. private actions.

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