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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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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/othr/papers/0504/0504005.pdf
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    References listed on IDEAS

    as
    1. Newey, Whitney K & Powell, James L & Walker, James R, 1990. "Semiparametric Estimation of Selection Models: Some Empirical Results," American Economic Review, American Economic Association, vol. 80(2), pages 324-328, May.
    2. Mroz, Thomas A, 1987. "The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions," Econometrica, Econometric Society, vol. 55(4), pages 765-799, July.
    3. Manski, Charles F., 1975. "Maximum score estimation of the stochastic utility model of choice," Journal of Econometrics, Elsevier, vol. 3(3), pages 205-228, August.
    4. Powell, James L., 1987. "Semiparametric Estimation Of Bivariate Latent Variable Models," SSRI Workshop Series 292689, University of Wisconsin-Madison, Social Systems Research Institute.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    semiparametric methods; sample selection; oil spills;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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