THE DOSE-RESPONSE FUNCTION APPROACH TO MODELLING THE HEALTH EFFECTS OF AIR POLLUTION

Following from research conducted in the USA there is renewed interest in measuring the health impacts of air pollution. Direct methods of valuing the impact of poor air quality on health are likely to suffer from a variety of problems, chiefly a poor appreciation of the biological impacts of air pollution. However, indirect methods fail to account for averting behaviour and consequently provide only a lower bound on true willingness to pay. Dose-response functions have been estimated using different sorts of statistical models with different statistical properties; and there are arguments for resorting to Poisson regression techniques rather than conventional ordinary least squares routines. The results which emerge may depend upon the nature of the data with time series data failing to capture chronic health effects. The main issue, however, is the overall competence of the statistical studies themselves.

  • Availability:
  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • Calthrop, E
    • Maddison, D
  • Publication Date: 1996-7

Language

  • English

Media Info

  • Features: References;
  • Pagination: p. 599-607
  • Serial:
    • Energy Policy
    • Volume: 24
    • Issue Number: 7
    • Publisher: Butterworth Scientific Limited
    • ISSN: 0301-4215

Subject/Index Terms

Filing Info

  • Accession Number: 00726631
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD
  • Created Date: Oct 28 1996 12:00AM