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U.S. Department of Energy
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Estimation of air pollution-related mortality for the Ohio River Basin Energy Study Region

Thesis/Dissertation ·
OSTI ID:5214410
A cross-section analysis for 1976 is performed by estimating conventional health-damage specifications. Better air-quality data are used and socio-economic controls are instituted to derive a more-accurate estimate of the air pollution-related mortality by disease that is attributable to the residuals discharge by the coal-fired electric-utility sector of the Ohio River Basin Energy Study Region (ORBES). Diseases suspected of being sensitively associated with air pollution as mortality responses are categorized as cancer, cardiovascular, and respiratory. Air pollutants are SO/sub 2/, SO/sub 4/, and particulates for years 1976, 1985, and 2000 and for scenarios of utility compliance and noncompliance to state air-pollution regulations. The empirical results reveal that SO/sub 2/, particulates, and SO/sub 4/ are pernicious in that order and that noncompliance-related mortality is 1.6 times the compliance-related mortality. Most important is that logit and ridge regression, respectively, indicate in many instances that stochastic bio-responses to air pollution and multicollinearity among the data vectors strongly bias (overestimate) the linear least-squares estimates.
OSTI ID:
5214410
Country of Publication:
United States
Language:
English