Resources Repository
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ReviewPublication 2016Remembering Howard Raiffa
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on …
Howard Raiffa (1924-2016) had a profound influence on all aspects of the decision sciences and on the fields of systems analysis and operations research. He guided the introduction of the decision sciences into numerous fields such as business, medicine, public health, the environmental sciences, and law, and was instrumental in building world-recognized institutions such as the Kennedy School at Harvard and the International Institute for Applied Systems Analysis near Vienna, Austria. This article is a thoughtful tribute by…
Preferences/Values | Operations Research | Decision Analysis | Decision Theory | Business/Industry | Economics/Finance | Health/Medicine | Military/Defense | North America -
ArticlePublication 2007Decision Analysis: A Personal Account of How It Got Started and Evolved
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement …
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement in its development. He describes the early days of Operations Research (OR) in the late 1940s with its approach to complex, strategic decision making. After reading John von Neumann and Oskar Morgenstern’s Theory of Games and Economic Behavior (1947) and Abraham Wald’s two books (1947, 1950), he became involved in statistical decision theory. A few years later, after reading Leonard…
Preferences/Values | Operations Research | Decision Analysis | Decision Theory | Probability/Bayes | Business/Industry | Economics/Finance | Energy/Engineering | Health/Medicine -
ArticlePublication 2023Valuing Mortality Risk: Per Life, Life Year, or QALY?
It is important to consider age and other relevant factors when assessing the value associated …
It is important to consider age and other relevant factors when assessing the value associated with reducing risks to ensure a comprehensive and accurate understanding of its impact. In a recent paper, it is explained that the value of risk reduction, whether it is a temporary or persistent reduction, can be defined using the "value per statistical life" (VSL), "value per statistical life year" (VSLY), or "value per quality-adjusted life year" (VQALY).
Preferences/Values | Benefit-Cost Analysis | Risk Analysis | Cost-Effectiveness Analysis -
ReviewPublication 2023Handbook of Vaccine Health Economics
The open-access book, "Handbook of Applied Health Economics in Vaccines," looks at the complexities of …
The open-access book, "Handbook of Applied Health Economics in Vaccines," looks at the complexities of vaccine discovery, financing, and distribution. It highlights the inadequacy of standard economic models for vaccines. The book explores alternative principles challenging market-based approaches and equips readers with tools for assessing costs and benefits through practical exercises. It serves as a comprehensive resource for decision-making in vaccine development and distribution and emphasizes the importance of considering broader perspectives beyond economic efficiency.…
Benefit-Cost Analysis | Decision Analysis | Costing Methods | Health Outcomes | Evidence Synthesis | Cost-Effectiveness Analysis | Policy/Regulation | Health/Medicine | Global | Graduate | Doctoral | Professional -
ArticlePublication 2020Valuing COVID-19 Mortality Risk
In this article, the author evaluates whether conventional estimates of the value per statistical life …
In this article, the author evaluates whether conventional estimates of the value per statistical life (VSL) in the United States (about $10 million) are appropriate for evaluating policies that affect risk of COVID-19. This estimate may be too large, because: (1) VSL estimates marginal values but COVID-19 risks can be non-marginal; (2) VSL is estimated for the average resident, but COVID-19 mortality is concentrated among the elderly; and (3) the pandemic has caused substantial losses…
Preferences/Values | Benefit-Cost Analysis | Infectious Diseases | Government/Law | Global -
ArticlePublication 2021COVID and the Age–VSL Relationship
In this article, the researchers explore the approach used to value COVID-19 mortality risk reductions …
In this article, the researchers explore the approach used to value COVID-19 mortality risk reductions in analyses of lockdowns and other policies. Many rely on a population-average estimate of the value per statistical life (VSL); others adjust VSL for life expectancy at the age of death. The article explores the implications of theory and empirical studies, which suggest that the relationship between age and VSL is uncertain; these uncertainties in turn may affect whether the…
Preferences/Values | Benefit-Cost Analysis | Infectious Diseases | Government/Law | Health/Medicine | North America -
ArticlePublication 2020Premature Deaths, Statistical Lives, and Years of Life
This article clarifies some misconceptions about mortality risk and economic valuation. The mortality effects of …
This article clarifies some misconceptions about mortality risk and economic valuation. The mortality effects of exposure to environmental hazards such as air pollution are often described by the estimated number of “premature deaths” and the economic value of an exposure reduction as the number of “statistical lives saved” multiplied by the “value per statistical life.” These terms can be misleading because the number of deaths advanced by exposure cannot be determined from mortality data; it…
Preferences/Values | Benefit-Cost Analysis | Health Outcomes | Environmental Health | Policy/Regulation | College | Graduate | Critical Thinking/Analysis -
ReviewPublication 2017Patients' Preferences in Cancer Treatment: Review of Discrete Choice Experiments
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer …
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer treatment and assessed the relative importance of outcome, process and cost attributes. A systematic literature review was conducted using PubMed and EMBASE to identify all DCEs investigating patients’ preferences for cancer treatment between January 2010 and April 2016. Attributes were classified into outcome, process and cost attributes, and their relative importance was assessed. A total of 28 DCEs were identified.…
Preferences/Values | Decision Analysis | Health Outcomes | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health Systems | Economics/Finance | Health/Medicine | North America | Europe -
ArticlePublication 2017Valuing Non-Fatal Risks: Monetary and Health-Utility Measures
This article discusses metrics for valuing environmental, health, and safety policies, which should be consistent …
This article discusses metrics for valuing environmental, health, and safety policies, which should be consistent with both the preferences of affected individuals and social preferences for distribution of health risks in the population. Two classes of metrics are widely used: monetary measures (e.g., willingness to pay) and health-utility measures (e.g., quality-adjusted life years (QALYs), disability-adjusted life years (DALYs)). Health-utility measures impose more structure than monetary measures, with the result that individuals’ preferences often appear inconsistent…
Preferences/Values | Benefit-Cost Analysis | Policy/Regulation | Climate/Environment | College | Graduate | Critical Thinking/Analysis