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Semiparametric Estimation of the Size of Oil Tanker Spills

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Ayla Ogus (Izmir University of Economics)

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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.

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Publisher Info
Paper provided by EconWPA in its series Others with number 0504005.

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Length: 25 pages
Date of creation: 08 Apr 2005
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Handle: RePEc:wpa:wuwpot:0504005

Note: Type of Document - pdf; pages: 25
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Web page: http://129.3.20.41

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Related research
Keywords: semiparametric methods; sample selection; oil spills;

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Find related papers by JEL classification:
C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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  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 324-28, May. [Downloadable!] (restricted)
  2. repec:att:wimass:19901 is not listed on IDEAS
  3. 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 765-99, July. [Downloadable!] (restricted)
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