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Process and input-output analysis have emerged as the two principal methods of analyzing health risks of energy technologies. This book describes applications and differences between these two methods with discussions of sources or error and uncertainty, data limitations and some solutions to common problems. Its goals are to provide understanding of the strengths and weaknesses of the methods and to provide a basis for standardizing risk assessment for energy policy analysis. Sections of the book describe risk analysis and develop issues common to both the process and input-output methods, describe data bases and their limitations, discuss use of environmental models for generating environmental information not available in data bases, describe applications of the methods in case studies, and discuss the state-of-the-art of the two models and opportunities for combining them to take advantage of their relative strengths and weaknesses.
This book challenges the conventional wisdom that greater schooling and skill improvement leads to higher wages, that income inequality falls with wider access to schooling, and that the Information Technology revolution will re-ignite worker pay. Indeed, the econometric results provide no evidence that the growth of skills or educational attainment has any statistically significant relation to earnings growth or that greater equality in schooling has led to a decline in income inequality. Results also indicate that computer investment is negatively related to earnings gains and positively associated with changes in both income inequality and the dispersion of worker skills. The findings reports here have direct relevance to ongoing policy debates on educational reform in the U.S.