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Semiparametric Estimation of the Size of Oil Tanker Spills

Author

Listed:
  • Ayla Ogus

    (Izmir University of Economics)

Abstract

This paper estimates the determinants of the size of oil tanker spills without dis- tributional assumptions on the error terms. We employ semiparametric estimation techniques to estimate the parameters of a sample selection model and compare them to the estimates from a sample selection model with normal errors. We nd that al- though parameter estimates are sensitive to the assumption of normality and to the semiparametric technique used. Major ndings that are qualitatively supported by all methods are: groundings and collisions result in larger spills if there is a spill, but the likelihood that there will be a spill due to a grounding or collision is very low; tanker size has only a marginal e ect on the probability of a spill and a dubious e ect on spill size; US ag tankers and new tankers have a lower probability of causing spills, compared to foreign ag and old tankers, respectively.

Suggested Citation

  • Ayla Ogus, 2005. "Semiparametric Estimation of the Size of Oil Tanker Spills," Others 0504005, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpot:0504005
    Note: Type of Document - pdf; pages: 25
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    References listed on IDEAS

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    4. Powell, James L., 1987. "Semiparametric Estimation Of Bivariate Latent Variable Models," SSRI Workshop Series 292689, University of Wisconsin-Madison, Social Systems Research Institute.
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    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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