Factors affecting hospital stay involving drunk driving and non-drunk driving in Phuket, Thailand
The purpose of this paper is to investigate the factors affecting hospital stay involving drunk driving and non-drunk driving of accident victims in Phuket, Thailand. However, the decisions to drink and drive are made by the road users before the accidents occurred. Self-selection bias may arise whe...
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Springer Verlag
2014
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th-cmuir.6653943832-11942014-08-29T09:20:17Z Factors affecting hospital stay involving drunk driving and non-drunk driving in Phuket, Thailand Sirisrisakulchai J. Sriboonchitta S. The purpose of this paper is to investigate the factors affecting hospital stay involving drunk driving and non-drunk driving of accident victims in Phuket, Thailand. However, the decisions to drink and drive are made by the road users before the accidents occurred. Self-selection bias may arise when some component of the drink and drive decision is relevant to the length of stay in hospital of accident victims. We discuss a new approach to specifying and estimating zero-inflated negative binomial models with endogenous switching, based on copula function. These models provide a framework of analysis for the effect of self-selection in drunk-driving behaviors on the length of stay in the hospitals. We use the concept of pair-copula constructions for discrete margins to derive the likelihood function of our model system. The results suggest that drunk-driving accident victims are positively selected. © Springer International Publishing Switzerland 2014. 2014-08-29T09:20:17Z 2014-08-29T09:20:17Z 2014 Conference Paper 9783319033945 21945357 10.1007/978-3-319-03395-2_31 103403 http://www.scopus.com/inward/record.url?eid=2-s2.0-84897835778&partnerID=40&md5=6327f2244e2a89690261bef1eb0e2463 http://cmuir.cmu.ac.th/handle/6653943832/1194 English Springer Verlag |
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The purpose of this paper is to investigate the factors affecting hospital stay involving drunk driving and non-drunk driving of accident victims in Phuket, Thailand. However, the decisions to drink and drive are made by the road users before the accidents occurred. Self-selection bias may arise when some component of the drink and drive decision is relevant to the length of stay in hospital of accident victims. We discuss a new approach to specifying and estimating zero-inflated negative binomial models with endogenous switching, based on copula function. These models provide a framework of analysis for the effect of self-selection in drunk-driving behaviors on the length of stay in the hospitals. We use the concept of pair-copula constructions for discrete margins to derive the likelihood function of our model system. The results suggest that drunk-driving accident victims are positively selected. © Springer International Publishing Switzerland 2014. |
format |
Conference or Workshop Item |
author |
Sirisrisakulchai J. Sriboonchitta S. |
spellingShingle |
Sirisrisakulchai J. Sriboonchitta S. Factors affecting hospital stay involving drunk driving and non-drunk driving in Phuket, Thailand |
author_facet |
Sirisrisakulchai J. Sriboonchitta S. |
author_sort |
Sirisrisakulchai J. |
title |
Factors affecting hospital stay involving drunk driving and non-drunk driving in Phuket, Thailand |
title_short |
Factors affecting hospital stay involving drunk driving and non-drunk driving in Phuket, Thailand |
title_full |
Factors affecting hospital stay involving drunk driving and non-drunk driving in Phuket, Thailand |
title_fullStr |
Factors affecting hospital stay involving drunk driving and non-drunk driving in Phuket, Thailand |
title_full_unstemmed |
Factors affecting hospital stay involving drunk driving and non-drunk driving in Phuket, Thailand |
title_sort |
factors affecting hospital stay involving drunk driving and non-drunk driving in phuket, thailand |
publisher |
Springer Verlag |
publishDate |
2014 |
url |
http://www.scopus.com/inward/record.url?eid=2-s2.0-84897835778&partnerID=40&md5=6327f2244e2a89690261bef1eb0e2463 http://cmuir.cmu.ac.th/handle/6653943832/1194 |
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