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Modeling Dependence in Econometrics pp 215–228Cite as

Modeling Dependence of Accident-Related Outcomes Using Pair Copula Constructions for Discrete Data

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 251))

Abstract

This paper investigates the relationship between accident-related outcomes and per capita income, and explores the interdependency between them by using vine pair copula constructions. Equations for number of accidents, number of fatalities, and number of people injured are estimated using a provincial level data of Thailand in 2011.We discovered that there exists an inverted U-shaped relationship between accident-related outcomes and per capita income. Moreover, it was found that the accident-injury pair had stronger concordance and tail dependence, whereas the accident-fatality and fatality-injury pairs had weaker concordance and tail dependence. Our findings provide useful insight and information to policymakers who can then use the same to select appropriate road safety measures.

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Author information

Authors and Affiliations

  1. Faculty of Economics, Chiang Mai University, Chiang Mai, 50200, Thailand

    Jirakom Sirisrisakulchai & Songsak Sriboonchitta

Authors
  1. Jirakom Sirisrisakulchai
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  2. Songsak Sriboonchitta
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Corresponding author

Correspondence to Jirakom Sirisrisakulchai .

Editor information

Editors and Affiliations

  1. APAN Advanced Institute of Science and Technology, Ishikawa, Japan

    Van-Nam Huynh

  2. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  3. Faculty of Economics, Chiangmai University, Chiangmai, Thailand

    Songsak Sriboonchitta

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Sirisrisakulchai, J., Sriboonchitta, S. (2014). Modeling Dependence of Accident-Related Outcomes Using Pair Copula Constructions for Discrete Data. In: Huynh, VN., Kreinovich, V., Sriboonchitta, S. (eds) Modeling Dependence in Econometrics. Advances in Intelligent Systems and Computing, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-319-03395-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-03395-2_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03394-5

  • Online ISBN: 978-3-319-03395-2

  • eBook Packages: EngineeringEngineering (R0)

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