scholarly journals Travel Cost Models of the Demand for Rock Climbing

1996 ◽  
Vol 25 (2) ◽  
pp. 133-142 ◽  
Author(s):  
W. Douglass Shaw ◽  
Paul Jakus
Keyword(s):  
Count Data ◽  
Data Model ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Travel Cost ◽  
Rock Climbing ◽  
Cost Models ◽  
The Novel ◽  
Combined Model ◽  
Welfare Measures

In this paper we estimate the demand for rock climbing and calculate welfare measures for changing access to a number of climbs at a climbing area. In addition to the novel recreation application, we extend the travel cost methodology by combining the double hurdle count data model (DH) with a multinomial logit model of site-choice. The combined model allows us simultaneously to explain the decision to participate and to allocate trips among sites. The application is to climbers who visit one of the premiere rock-climbing areas in the northeastern United States and its important substitute sites. We also estimate a conventional welfare measure, which is the maximum WTP to avoid loss of access to the climbing site.

scholarly journals Estimating Recreational Value of Foy's Lake: An Application of Travel Cost Count Data Model for Truncated Zeros

2017 ◽  
Author(s):  
Md. Touhidul Alam ◽  
Anis-Ul-Ekram Chowdury ◽  
Md. Sajib Hossian
Keyword(s):  
Regression Model ◽  
Count Data ◽  
Data Model ◽  
Poisson Regression ◽  
Consumer Surplus ◽  
Travel Cost ◽  
Travel Cost Method ◽  
Poisson Regression Model ◽  
Recreational Value ◽  
Recreational Benefits

To estimate the recreational value provided by the Foy’s Lake annually using the most applicable model for on-site data is the main objective of this study. Adhere to the objective of this study; Individual Travel Cost Method (ITCM) has been applied and Zero Truncated Poisson Regression Model has been found plausible among other models to estimate consumer surplus. Based on the findings of the study, an estimate of the consumer surplus or recreational benefits per trip per visitor can be recommended as BDT 5,875 or US $ 73.44 and counting the consumer surplus per trip per visitor, the annual recreational value (total consumer surplus) provided by the lake is found to be BDT 321 million or US $ 40.2 million.

Demographics and Saving Behavior of Households in Rural Areas of Vietnam: An Empirical Analysis

2013 ◽  
pp. 5-18
Author(s):  
Minh Nguyen Thi ◽  
Nhat Nguyen Hong ◽  
Anh Trinh Trong ◽  
Duc Phung Minh ◽  
Son Le Thai
Keyword(s):  
Rural Areas ◽  
Data Model ◽  
Logit Model ◽  
Multinomial Logit Model ◽  
Household Savings ◽  
Household Saving ◽  
Life Cycle Theory ◽  
Saving Behavior ◽  
And Gender ◽  
The Impact

This paper studies the saving behavior of rural households in Vietnam from two aspects: volume of savings and methods of saving. Two econometric models are conducted, the first one is a panel data model, used to examine the determinants of household saving; and the second one is a multinomial logit model used to investigate how a household chooses the way to save. Both models are based on the life cycle theory of saving and the permanent income hypothesis. We find that the household head’s age, education and gender are closely related to their saving behavior. And the impact of these variables takes different patterns between the two models. The results are useful for further research in forecasting household savings as well as in micro finance to find a better way of serving people who live in rural areas.

scholarly journals Risk of adverse events in gastrointestinal endoscopy: Zero-inflated Poisson regression mixture model for count data and multinomial logit model for the type of event

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253515
Author(s):  
Marco Gemma ◽  
Fulvia Pennoni ◽  
Roberta Tritto ◽  
Massimo Agostoni
Keyword(s):  
Adverse Events ◽  
Count Data ◽  
Logit Model ◽  
Poisson Regression ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Asa Score ◽  
Mallampati Score ◽  
Procedure Duration ◽  
Regression Mixture

Background and aims We analyze the possible predictive variables for Adverse Events (AEs) during sedation for gastrointestinal (GI) endoscopy. Methods We consider 23,788 GI endoscopies under sedation on adults between 2012 and 2019. A Zero-Inflated Poisson Regression Mixture (ZIPRM) model for count data with concomitant variables is applied, accounting for unobserved heterogeneity and evaluating the risks of multi-drug sedation. A multinomial logit model is also estimated to evaluate cardiovascular, respiratory, hemorrhagic, other AEs and stopping the procedure risk factors. Results In 7.55% of cases, one or more AEs occurred, most frequently cardiovascular (3.26%) or respiratory (2.77%). Our ZIPRM model identifies one population for non-zero counts. The AE-group reveals that age >75 years yields 46% more AEs than age <66 years; Body Mass Index (BMI) ≥27 27% more AEs than BMI <21; emergency 11% more AEs than routine. Any one-point increment in the American Society of Anesthesiologists (ASA) score and the Mallampati score determines respectively a 42% and a 16% increment in AEs; every hour prolonging endoscopy increases AEs by 41%. Regarding sedation with propofol alone (the sedative of choice), adding opioids to propofol increases AEs by 43% and adding benzodiazepines by 51%. Cardiovascular AEs are increased by age, ASA score, smoke, in-hospital, procedure duration, midazolam/fentanyl associated with propofol. Respiratory AEs are increased by BMI, ASA and Mallampati scores, emergency, in-hospital, procedure duration, midazolam/fentanyl associated with propofol. Hemorrhagic AEs are increased by age, in-hospital, procedure duration, midazolam/fentanyl associated with propofol. The risk of suspension of the endoscopic procedure before accomplishment is increased by female gender, ASA and Mallampati scores, and in-hospital, and it is reduced by emergency and procedure duration. Conclusions Age, BMI, ASA score, Mallampati score, in-hospital, procedure duration, other sedatives with propofol increase the risk for AEs during sedation for GI endoscopy.

Exploring Attendance at a Traditional Cultural Event: The Case of a Holy Week Celebration

2020 ◽  
Vol 24 (1) ◽  
pp. 153-168
Author(s):  
Víctor Lafuente ◽  
José Ángel Sanz ◽  
María Devesa
Keyword(s):  
Cultural Capital ◽  
Cultural Heritage ◽  
Count Data ◽  
Data Model ◽  
Social Aspects ◽  
Social Nature ◽  
The World ◽  
Local Residents ◽  
The City ◽  
Complex Expression

Holy Week is one of the most important traditions in many parts of the world and a complex expression of cultural heritage. The main goal of this article is to explore which factors determine participation in Holy Week celebrations in the city of Palencia (Spain), measured through the number of processions attended. For this purpose, an econometric count data model is used. Variables included in the model not only reflect participants' sociodemographic features but other factors reflecting cultural capital, accumulated experience, and social aspects of the event. A distinction is drawn between three types of participants: brotherhood members, local residents, and visitors, among whom a survey was conducted to collect the information required. A total of 248 surveys were carried out among brotherhood members, 209 among local residents, and 259 among visitors. The results confirm the religious and social nature of this event, especially in the case of local participants. However, in the case of visitors, participation also depends on aspects reflecting the celebration's cultural and tourist dimension—such as visiting other religious and cultural attractions—suggesting the existence of specific tourism linked to the event. All of this suggests the need to manage the event, ensuring a balance is struck between the various stakeholders' interests and developing a tourist strategy that prioritizes public-private cooperation.

Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters

2014 ◽  
Vol 23 (11) ◽  
pp. 2023-2039 ◽  
Author(s):  
Paat Rusmevichientong ◽  
David Shmoys ◽  
Chaoxu Tong ◽  
Huseyin Topaloglu
Keyword(s):  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Random Choice ◽  
Assortment Optimization

scholarly journals Customers’ Mode Choice Behaviors of Express Service Based on Latent Class Analysis and Logit Model

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Lian Lian ◽  
Shuo Zhang ◽  
Zhong Wang ◽  
Kai Liu ◽  
Lihuan Cao
Keyword(s):  
Logit Model ◽  
Choice Behavior ◽  
Latent Class ◽  
Latent Class Model ◽  
Policy Research ◽  
Multinomial Logit Model ◽  
Class Model ◽  
Taste Heterogeneity ◽  
Using Data ◽  
Service Choice

As the parcel delivery service is booming in China, the competition among express companies intensifies. This paper employed multinomial logit model (MNL) and latent class model (LCM) to investigate customers’ express service choice behavior, using data from a SP survey. The attributes and attribute levels that matter most to express customers are identified. Meanwhile, the customers are divided into two segments (penny pincher segment and high-end segment) characterized by their taste heterogeneity. The results indicate that the LCM performs statistically better than MNL in our sample. Therefore, more attention should be paid to the taste heterogeneity, especially for further academic and policy research in freight choice behavior.

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