scholarly journals How to Measure Flamenco Performer Value? A Cultural Economic Approach

2021 ◽  
Vol 68 ◽  
pp. 71-77
Author(s):  
Jesús Heredia-Carroza ◽  
Helena Saraiva ◽  
Carlos Chavarría-Ortíz
Keyword(s):  
Decision Making ◽  
Logit Model ◽  
Perceived Value ◽  
Economic Approach ◽  
Ordered Logit ◽  
Cultural Economic ◽  
Ordered Logit Model ◽  
Musical Genres ◽  
Empirical Methodology ◽  
Positive Effect

This article designs an empirical methodology to measure the perceived value of the performers, specifically using the significant example of flamenco performer. The methodology is based on an Ordered Logit Model whose dependent variable is the valuation of the flamenco performer by spectators, which complements the research carried out by Heredia-Carroza (2019). The results show that virtuosity, feelings, Roma origin of the performer are significant and they have a positive effect in the valuation of it. Also, spectator’s features as time consuming and number of albums acquired have a positive effect in the performer valuation. Finally, the results have a greater importance as they provide recording companies, an instrument that reduces uncertainty about the characteristics of the performer and it can also be used as a decision-making instrument for future signings of performers in record companies based on the spectators’ perceptions. This methodology could be replicated for the study of other musical genres.

scholarly journals Air Transport Passengers’ Satisfaction: an Ordered Logit Model

2018 ◽  
Vol 33 ◽  
pp. 147-154 ◽  
Author(s):  
Maria Grazia Bellizzi ◽  
Laura Eboli ◽  
Carmen Forciniti ◽  
Gabriella Mazzulla
Keyword(s):  
Logit Model ◽  
Air Transport ◽  
Ordered Logit ◽  
Ordered Logit Model

scholarly journals Investigating the Impacts of Real-Time Weather Conditions on Freeway Crash Severity: A Bayesian Spatial Analysis

2020 ◽  
Vol 17 (8) ◽  
pp. 2768 ◽  
Author(s):  
Qiang Zeng ◽  
Wei Hao ◽  
Jaeyoung Lee ◽  
Feng Chen
Keyword(s):  
Real Time ◽  
Spatial Correlation ◽  
Logit Model ◽  
Weather Conditions ◽  
Crash Severity ◽  
Ordered Logit ◽  
Ordered Logit Model ◽  
Generalized Ordered Logit ◽  
Severity Levels ◽  
Generalized Ordered Logit Model

This study presents an empirical investigation of the impacts of real-time weather conditions on the freeway crash severity. A Bayesian spatial generalized ordered logit model was developed for modeling the crash severity using the hourly wind speed, air temperature, precipitation, visibility, and humidity, as well as other observed factors. A total of 1424 crash records from Kaiyang Freeway, China in 2014 and 2015 were collected for the investigation. The proposed model can simultaneously accommodate the ordered nature in severity levels and spatial correlation across adjacent crashes. Its strength is demonstrated by the existence of significant spatial correlation and its better model fit and more reasonable estimation results than the counterparts of a generalized ordered logit model. The estimation results show that an increase in the precipitation is associated with decreases in the probabilities of light and severe crashes, and an increase in the probability of medium crashes. Additionally, driver type, vehicle type, vehicle registered province, crash time, crash type, response time of emergency medical service, and horizontal curvature and vertical grade of the crash location, were also found to have significant effects on the crash severity. To alleviate the severity levels of crashes on rainy days, some engineering countermeasures are suggested, in addition to the implemented strategies.

scholarly journals A RANK-ORDERED LOGIT MODEL WITH UNOBSERVED HETEROGENEITY IN RANKING CAPABILITIES

2010 ◽  
Vol 27 (5) ◽  
pp. 831-846 ◽  
Author(s):  
Dennis Fok ◽  
Richard Paap ◽  
Bram Van Dijk
Keyword(s):  
Logit Model ◽  
Unobserved Heterogeneity ◽  
Ordered Logit ◽  
Ordered Logit Model

Use of ordered logit model with time series data for determining the factors affecting the milk yield of Holstein Friesians

2019 ◽  
Author(s):  
Özge Akkuş ◽  
Volkan Sevinç
Keyword(s):  
Time Series ◽  
Milk Yield ◽  
Logit Model ◽  
Time Series Data ◽  
Series Data ◽  
Ordered Logit ◽  
Factors Affecting ◽  
Ordered Logit Model ◽  
Lactation Length ◽  
Cattle Breeders

This article aims to introduce the use of ordered logit model with time series data in milk productivity studies and determine the important factor levels affecting the milk yield of Holstein Friesians. The data consists of 2002 records collected for the years 2009-2015 from the reports of the Cattle Breeders’ Association of Turkey (CBAT) in Muðla province in Turkey. The direct and marginal effects of the variables: parity, lactation length and year of calving on milk yield are investigated and the probabilities regarding the milk yield production for a given specific parity, lactation length and calving year are calculated. The results show that milk yield slightly increases on the 4th parity of cows. As far as the years concerned, although there had mostly been a steady amount of milk production between 2009 and 2015 years, there was a significant decrease in 2011 and increase in 2014.

Targeting Consumers for Exporting Rice to China by Ordered Logit Model Analysis

2017 ◽  
Vol 29 (4) ◽  
pp. 421-426
Author(s):  
Se-Hyuk Kim ◽  
◽  
Cheong-Ryong Lim ◽  
Hang-Ah Lee ◽  
Yun-Mi Oh ◽  
...  
Keyword(s):  
Logit Model ◽  
Model Analysis ◽  
Ordered Logit ◽  
Ordered Logit Model
Sign in / Sign up

Export Citation Format

Share Document