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Statistical Methodological Issues in Studies of Air Pollution and Respiratory Disease

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  • Hyndman, R.J.

    ()

  • Erbas, B.

Abstract

Epidemiological studies have consistently shown short term associations between levels of air pollution and respiratory disease in countries of diverse populations, geographical locations and varying levels of air pollution and climate. The aims of this paper are: (1) to assess the sensitivity of the observed pollution effects to model specification, with particular emphasis on the inclusion of seasonally adjusted covariates; and (2) to study the effect of air pollution on respiratory disease in Melbourne, Australia.

Suggested Citation

  • Hyndman, R.J. & Erbas, B., 2001. "Statistical Methodological Issues in Studies of Air Pollution and Respiratory Disease," Monash Econometrics and Business Statistics Working Papers 6/01, Monash University, Department of Econometrics and Business Statistics.
  • Handle: RePEc:msh:ebswps:2001-6
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    File URL: http://www.buseco.monash.edu.au/ebs/pubs/wpapers/2001/wp6-01.pdf
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    Keywords

    Air pollution; Autocorrelation; Generalized additive models; Seasonal adjustment; Respiratory disease;

    JEL classification:

    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I10 - Health, Education, and Welfare - - Health - - - General

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