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Estimating Long-Term Trends in Tropospheric Ozone Levels

Author

Listed:
  • Smith, M.
  • Yau, P.
  • Shively, T.
  • Kohn, R.

Abstract

This paper estimates the long-term trends in the daily maxima of tropospheric ozone at six sites around the state of Texas. The statistical methodology we use controls for the effects of meteorological variables because it is known that variables such as temperature, wind speed and humidity substantially affect the formation of tropospheric ozone. A nonparametric regression model is estimated in which a general trivaraite surface is used to model the relationship between ozone and these meteorological variables because there is little, or no, theory to specify the functional dependence of ozone on these variables.

Suggested Citation

  • Smith, M. & Yau, P. & Shively, T. & Kohn, R., 1998. "Estimating Long-Term Trends in Tropospheric Ozone Levels," Monash Econometrics and Business Statistics Working Papers 2/98, Monash University, Department of Econometrics and Business Statistics.
    • Handle: RePEc:msh:ebswps:1998-2
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    Cited by:

    1. Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models," Journal of Econometrics, Elsevier, vol. 143(2), pages 291-316, April.

    More about this item

    Keywords

    ECONOMETRICS ; ENVIRONMENT;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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