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Regression modelling of the employment durations of UK seafaring officers in 1999

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  • David Glen

Abstract

This paper presents the results of an econometric analysis of the duration of voyages undertaken by NUMAST deck and engineer officers in 1998--1999. Earlier papers examined the employment profile of the officers, and compared voyage patterns across organization type, company nationality, flag of registry, and ship type. Analysis of the various cross-tabulations of employment duration appeared to show that the key driver is ship type. Using regression analysis, it is shown that ship type does indeed have a significant influence on duration, as does ship size. Flag, organizational type and company type were all found to be statistically unimportant.

Suggested Citation

  • David Glen, 2003. "Regression modelling of the employment durations of UK seafaring officers in 1999," Maritime Policy & Management, Taylor & Francis Journals, vol. 30(2), pages 141-149, January.
    • Handle: RePEc:taf:marpmg:v:30:y:2003:i:2:p:141-149
    DOI: 10.1080/0308883032000069253
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    1. Glen, David & McConville, James, 2001. "An analysis of the employment durations of UK seafaring officers 1999," Marine Policy, Elsevier, vol. 25(4), pages 293-301, July.
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    Cited by:

    1. Jiangang Fei & Jianjun Lu, 2015. "Analysis of students' perceptions of seafaring career in China based on artificial neural network and genetic programming," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(2), pages 111-126, February.
    2. Wenming Shi & Kevin X. Li, 2017. "Themes and tools of maritime transport research during 2000-2014," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(2), pages 151-169, February.

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