Modeling Dependence of Health Behaviors Using Copula-Based Bivariate Ordered Probit

Suknark, Kanchit; Sirisrisakulchai, Jirakom; Sriboonchitta, Songsak

doi:10.1007/978-3-319-27284-9_18

Cited by 2 publications

(2 citation statements)

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“…By computing full-information maximum likelihood estimates, the Bivariate Probit model can produce unbiased and more efficient estimates compared to 2SLS estimators [22]. The Bivariate Probit model has been widely used in recent years [23,24]. Therefore, we employed a Bivariate Probit model to control endogeneity.…”

Section: Study Areamentioning

confidence: 99%

Determinants of Residential Solid Waste Management Services Provision: A Village-Level Analysis in Rural China

2017

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Providing residential solid waste collection (RSWC) services is the first and most indispensable part of residential solid waste management and is crucial for rural environment protection. This paper seeks to analyze the determinants of RSWC services' provision at the village level, based on a latest survey data set of 150 villages in the Poyang Lake Eco-Economic Zone (PLEEZ) in Jiangxi Province. Using a Probit regression model and a Bivariate Probit regression model, our results indicated that: (1) The provision of RSWC services is not evenly distributed and richer villages have more RSWC services; (2) A showcasing phenomenon exists in the provision of RSWC services. Villages that are more populous, nearer to the township government, and located in the new countryside and old liberated areas saw an increase in the provision of RSWC facilities, services that will more easily showcase village leaders' political achievement, while the provision of RSWC workers and both RSWC facilities and workers, services that will less easily showcase village leaders' political achievement, do not increase in these villages; (3) Informal governance characteristics, such as the ratio of largest family clans, whether village leaders come from the village's largest family clans, and the number of people working in the upper-level government have strong predictive power over the provision of RSWC services, while formal governance characteristics, such as elections, do not matter in RSWC services' provision.

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Section: Study Areamentioning

confidence: 99%

Determinants of Residential Solid Waste Management Services Provision: A Village-Level Analysis in Rural China

2017

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“…Furthermore, the study employs elastic net regularization regression to overcome issues related to multicollinearity and overfitting. Compared with traditional ordinal models [24,25], the copula-based bivariate ordinal regression model, as highlighted by Hernández-Alava and Pudney [26] and Suknark et al [27], offers a robust framework for understanding dependent ordinal data. Its ability to capture the dependency structure between multiple ordinal outcomes makes it superior for analyzing correlated preferences.…”

Section: Introductionmentioning

confidence: 99%

Priority Needs for Facilities of Office Buildings in Thailand: A Copula-Based Ordinal Regression Model with Machine Learning Approach

Sriboonjit,

Singvejsakul,

Yamaka

et al. 2024

Buildings

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In the rapidly evolving business landscape of Thailand, the design and facilities of office buildings play a crucial role in enhancing employee satisfaction and productivity. This study seeks to answer the question: “How can office building facilities be optimized to meet the diverse preferences of occupants in Thailand, thereby improving their satisfaction and productivity”? This study employs a copula-based ordinal regression model combined with machine learning techniques to investigate the determinants of facility preferences in office buildings in Thailand. By analyzing data from 372 office workers in Bangkok, we identify the factors influencing facility needs and preferences, and measure the correlation between these preferences. Our findings reveal that safety and security are the highest-rated amenities, indicating their importance in the workplace. The findings reveal distinct preferences across demographic groups: age negatively influences the demand for certain amenities like lounges, while higher education levels increase the preference for cafeteria services. Employees in smaller firms show a higher preference for lounges and fitness centers but lower for restaurants and cafeterias. Interestingly, the size of the enterprise does not significantly affect preferences for fundamental facilities like security and cleaning. The study also uncovers the significant role of gender and income in shaping preferences for certain facilities. These results suggest that while basic amenities are universally valued, luxury or leisure-oriented facilities are more appreciated in smaller, possibly more community-focused work environments. This study highlights the need for tailored facility management in office buildings, considering the diverse needs of different employee groups, which has significant implications for enhancing workplace satisfaction and productivity.

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Modeling Dependence of Health Behaviors Using Copula-Based Bivariate Ordered Probit

Cited by 2 publications

References 1 publication

Determinants of Residential Solid Waste Management Services Provision: A Village-Level Analysis in Rural China

Determinants of Residential Solid Waste Management Services Provision: A Village-Level Analysis in Rural China

Priority Needs for Facilities of Office Buildings in Thailand: A Copula-Based Ordinal Regression Model with Machine Learning Approach

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