Statistical Methodological Issues in Studies of Air Pollution and Respiratory Disease
Rob Hyndman () and
No 6/01, Monash Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics
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.
Keywords: Air pollution; Autocorrelation; Generalized additive models; Seasonal adjustment; Respiratory disease (search for similar items in EconPapers)
JEL-codes: Q25 C51 I10 (search for similar items in EconPapers)
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