60 research outputs found

    B.: 2001, ‘The Value of Remaining Lifetime is Close to Estimated Values of Life

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    Abstract Workers under 50 on average will spend 10-20% of their future hours working. So, assuming they value leisure time at the wage rate, the value of their lives is 5-10 times their future lifetime earnings. This value is close to values of life estimated by compensating wage differentials or willingness to pay. © 2001 Elsevier Science B.V. All rights reserved. The three studies based on large surveys of hypothetical willingness-to-pay for increased safety gave values around US$ 3 million per statistical life. Viscusi (1992) notes (as have many others), "These numbers greatly exceed the workers lifetime earnings-roughly by an order of magnitude." Standard economic models of labor supply assume that the value of leisure time at the margin is equal to the marginal wage rate. If we assume the value of all time is equal to the wage rate, we can calculate a value of life by multiplying the wage rate by total discounted hours of life remaining. This is a lower bound if there are diminishing returns to leisure

    Discounting of Life-Saving and Other Nonmonetary Effects

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    Cost-effectiveness analysts generally assume that preferences over time are such that streams of monetary and nonmonetary program effects can be reduced to one discounted sum of monetary costs and another of effects. It is known that if the nonmonetary effects can be cashed out in a way that does not vary with time, then the rates of discount for monetary and nonmonetary effects have to be equal. This paper presents a more compelling argument for the equality of those rates when hard to monetize benefits such as life-saving are involved. It shows that if the ability to produce the nonmonetary effect does not diminish too quickly over time, failure to discount benefits implies that programs are always improved by delay. In general, discounting benefits and costs at different rates can lead to peculiar results.cost-effectiveness analysis, philosophy of modeling

    Algorithms for Health Planners: Vol. 6, Hypertension

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    Assists health planners, especially those in Health Systems Agencies (HSAs), in developing objectives and taking action toward ameliorating the problem of hypertension, or high blood pressure (HBP). The algorithm, or methodology, helps HSAs assess the prevalence of hypertension in their areas, identify breakdowns in the health care system, and specify needed improvements in the system. Known facts about high blood pressure, its pathological complications, prevalence, and treatment are reviewed. Guidelines are presented for assessing community HBP rates (through analysis of existing data or through collection of new data) and comparing those rates with national or other standards. Possible community actions toward ameliorating these problems are discussed: educational programs, door-to-door screening, industrial clinics, neighborhood clinics, and private screening. Finally, guidelines are presented for assessing the effects of such community programs
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