Econometric analysis on the effect of port state control inspections on the probability of casualty. Can targeting of substandard ships for inspections be improved?

Marine Policy

Volumn 31, Issue 4, 2007, Pages 550-563

  Knapp, Sabine ^a   Franses, Philip Hans ^a  

^a ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

Author keywords

Binary logistic regression; Effectiveness of inspections; Global view on port state control; Port state control; Port state control target factor; Probability of casualty; Ship risk profiles; Vetting inspections

Indexed keywords

ECONOMETRICS; PORT OPERATION; PROBABILITY; REGRESSION ANALYSIS; RISK ASSESSMENT; SHIPPING;

EID: 34247496476     PISSN: 0308597X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.marpol.2006.11.004     Document Type: Article

References (7)

1. International Convention for the Prevention of Pollution from Ships with Annexes I to VI, 1973/1978 (MARPOL). Consolidated edition. London: IMO Publication; 2001.
2. MSC/Circ. 953, MEPC/Circ. 372, Reports on Marine casualties and incidents, revised harmonized reporting procedures. IMO, London, 14th December 2000.
3. Cramer M, Franses PH, Slagter E. Censored regression analysis in large samples with many zero observations. Econometric Institute Research Report 9939/A, 1999.
4. Davidson R., and Mackinnon J. Estimation and inference in econometrics (1993), Oxford University Press, New York
5. Greene H.W. Econometric analysis. 4th ed (2000), Prentice-Hall, New Jersey Furthermore, recognition is to be given to Richard Paap from the Econometric Institute for his comments on the Green Program and for making it available for this analysis
6. Harvey A. Estimating regression models with multiplicative heteroscedasticity. Econometrica 44 (1976) 461-465
7. Knapp S. The econometrics of maritime safety-recommendations to enhance safety at sea. Doctoral thesis (in print), Erasmus University, Rotterdam, 2006.