ordered logit
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2021 ◽  
Vol 68 ◽  
pp. 71-77
Author(s):  
Jesús Heredia-Carroza ◽  
Helena Saraiva ◽  
Carlos Chavarría-Ortíz

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.


2021 ◽  
Vol 68 ◽  
pp. 53-70
Author(s):  
Javier Reyes-Martinez

Cultural participation has been evidenced to bring several benefits to the well-being of individuals. However, the analysis of this relationship has been addressed mostly in the context of Westernized countries, without considering the diversity of populations in Latin America. Therefore, the aim of this manuscript is to explore the association between cultural participation and subjective well-being (measured by life satisfaction) in Latin America, considering ethnic-racial ascription. With data from the 2013 Latinobarómetro survey (n=20204), several ordered logit regression analyses were performed. Results suggest that read books, read news, attend movies, attend theater, visit heritage places, and participation in community celebrations are associated with life satisfaction. However, these relationships show differentiated patterns depending on the ethnic-racial ascription, which implies that the positive impacts of cultural participation cannot be attributed to all populations, highlighting a process of social exclusion where some individuals get benefits of cultural participation, while others do not.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lokman Gunduz ◽  
Mustafa Kemal Yilmaz

PurposeThis paper aims to examine the convergence pattern of residential house prices in a panel of 55 major cities in Turkey over the period between 2010 and 2018 and to investigate the determinants of convergence club formations.Design/methodology/approachThe authors applied the log t-test to identify the convergence clubs and estimated ordered logit model to determine the key drivers.FindingsThe results suggest that there are five convergence clubs and confirm the heterogeneity of the Turkish housing market. Istanbul, the commercial capital, and Mugla, an attractive tourist destination, are at the top of the housing market and followed by the cities located in the western part, particularly along the Aegean and Mediterranean coasts of Turkey. Moreover, the ordered logit model results point out that the differences in employment rate, climate, population density and having a metropolitan municipality play a significant role in determining convergence club membership.Practical implicationsLarge-scale policy measures aiming to increase employment opportunities in rural cities of central and eastern provinces and providing lower land prices and property taxes in the metropolitan cities of Turkey can help mitigate some of the divergence in the house prices across cities.Originality/valueThe novelty of this study lies in employing a new data set at the city level containing 55 cities in Turkey, which is by far the largest in terms of city coverage among emerging market economies to implement the log t-test. It also contributes to the literature on city-specific determinants of convergence club formation in the case of an emerging economy.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmad Zia Wahdat ◽  
Michael Gunderson

PurposeThe study investigates whether there is an association between climate types and farm risk attitudes of principal operators.Design/methodology/approachThe study exploits temperature variation in the diverse climate types across the US and defines hot- and cold-climate states. Ordered logit and generalized ordered logit models are used to model principal operators' farm risk attitudes, which are measured on a Likert scale. The study uses two datasets. The first dataset is a 2017 survey of US large commercial producers (LCPs). The second dataset provides a Köppen-Geiger climate classification of the US at a spatial resolution of 5 arcmin for a 25-year period (1986–2010).FindingsThe study finds that principal operators in hot-climate states are 4–5% more likely to have a higher willingness to take farm risk compared to principal operators in cold-climate states.Research limitations/implicationsIt is likely that farm risk mitigation decisions differ between hot- and cold-climate states. For instance, the authors show that corn acres' enrollment in federal crop insurance and computers' usage for farm business are pursued more intensely in cold-climate states than in hot-climate states. A differentiation of farm risk attitude by hot- and cold-climate states may help agribusiness, the government and economists in their farm product offerings, farm risk management programs and agricultural finance models, respectively.Originality/valueBased on Köppen-Geiger climate classification, the study introduces hot- and cold-climate concepts to understand the relationship between climate types and principal operators' farm risk attitudes.


Author(s):  
Mohammed Ziaul Hoque ◽  
Nazmoon Akhter ◽  
Zinatul Mawa

Abstract This study aims to assess the market potential for organically farmed shrimp. The rank-ordered logit model was employed to investigate consumer perceptions; the findings reveal that consumers prefer organic shrimp from mariculture, and inland-farmed shrimp to the coastal version. The willingness to pay (WTP) for conventional shrimp amongst consumers with low knowledge is less than that for organic shrimp amongst highly knowledgeable ones. In addition, the lower WTP for organic shrimp compared with safe shrimp amongst those with a medium knowledge level shows that the organically farmed shrimp market is lagging behind due to limited knowledge and confusion.


2021 ◽  
Vol 159 ◽  
pp. 106277
Author(s):  
Xuesong Wang ◽  
Jiawen Chen ◽  
Mohammed Quddus ◽  
Weixuan Zhou ◽  
Ming Shen

2021 ◽  
pp. 135481662110346
Author(s):  
Yanting Cai ◽  
Gang Li ◽  
Chang Liu ◽  
Long Wen

As one of the first studies to explore the joint consumption of both leisure and pandemic-related tourism products in former pandemic epicenters, this research expands the scope of dark tourism to include former pandemic epicenters. The motivational determinants of intention to visit leisure and pandemic-related sites are empirically identified using an ordered logit model. This is the first study which formally proposes patriotism as a new push motive in stimulating people to visit post-disaster destinations. The identified segmentations of tourists with different levels of push–pull motives and socio-demographic features provide key stakeholders and practitioners in former epicenters with a systematic recovery plan in the post-pandemic era.


2021 ◽  
Author(s):  
Bader Alhafi Alotaibi ◽  
Azhar Abbas ◽  
Raza Ullah ◽  
Hazem S. Kassem ◽  
Muhammad Imran Azeem ◽  
...  

Abstract Concern for a particular stimulus constitutes a major driver to mitigate its negative effects. This study was undertaken to know the level of concern for climate change among Saudi farmers in Jazan province and to evaluate the role of various socioeconomic indicators in relation to their concern level. Moreover, an account of farmers’ beliefs about climate change and capacity building initiatives needed to address this issue at the community level is also presented. Field level data collected through a face-to-face survey using a structured questionnaire were utilized to draw insights. The ordered logit model was used to find out the determinants for the level of concern for climate change among respondent farmers regarding three top concern categories. Farmers ranked insect infestation, higher incidence of crop diseases, and drought as the first, second and third, respectively, as top climate change concerns in the study area. Results of the ordered logit model showed that higher farmer income significantly reduces their level of concern for the first two categories of concern while it has a positive influence on concern for drought. Access to credit and information has a mixed impact on the farmers’ concern level. Farmer’s age, education, perceived source of climate change, and perceived changes in temperature and rainfall have a mixed impact on the top three climate change-related concerns. The findings support the provision of timely warning, capacity building of the farmers and personnel, credit provision, improvement of rural infrastructure, and creating awareness among farmers to address particular climate change-related concerns.


2021 ◽  
pp. 20-41

There is no denying in the fact that informal sector of any economy offersemployment flexibility by absorbing a pool of labor force. However, the rapid progression of the informal sector in Pakistan andthe consequent increase in competition faced by the formal firms urge a need to understand the dynamics of informal competition.The current study is an attempt toidentifythecorefactors responsible for the incidence of informal competition faced by formal firms in Pakistan,along with an investigation of the determinantsof the severity of thiscompetition.The study investigates the variables of firm’s characteristics and regulatory measures in order to examine the incidence and severity of informal competition faced by formal firms employing World Bank Enterprise Survey 2013 (WBES).The study not only conducts frequency analysis of the variables but based on the nature of data;it uses thelogit and ordered logit techniques todetermine the significant variables.The results of the study show that out of totalof 1125 formal firms used inthe analysis, 583 firms (46.75%) reported facing informal competition. Among these firms facing informal competition, only 16.98% reported informal competition as no obstacle in terms of its severity, however, rests of the firms (almost 83 %) consider the severity of informal competition as an obstacle in one or the other form and consider informal competition as a threat to their businesses.The result of logit model shows thatcharacteristics of formal firms resembling more to the informal firms in terms of size and locality have more likelihood of facing the informal competition. However, indetermining the severityof informal competition through the ordered logit model, theregulatory variables such as taxation, licensing & permits and corruption are found to be more significant and relevant.These results call on to introduce regulatory reforms making the regulatory system less burdensome and better enforcement mechanism of those reforms. There’s a need to create ease for the existing formal firms to fulfill the regulatory requirements as well as encourage the informal firms to join the mainstream formal setup of economy. Furthermore, the current research can be extended by availing the latest datasettoexplore the dynamics of informal sector andthe resultant competitionfor the formal firms in an ever-changingbusiness environment.


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