scholarly journals Discount Rate for Health Benefits and the Value of Life in India

2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
K. R. Shanmugam

This study contributes to the literature by estimating discount rate for health benefits and value of statistical life of workers in India. The discount rate is imputed from wage-risk trade-offs in which workers decide whether to accept a risky job with higher wages. The estimated real discount rate varies across regions ranging 2.4–5.1 percent, which is closer to the financial market rate for the study period. The estimated value of a statistical life is Rs. 20 (US $ 1.107) million. The results thus provide no empirical support for utilizing a separate rate of discount for health benefits of life-saving policies in developing countries like India.

2006 ◽  
Vol 11 (5) ◽  
pp. 569-583 ◽  
Author(s):  
K. R. SHANMUGAM

The choice of appropriate discount rate for comparing the long-term health benefits of policies is a complex issue. This study contributes to this sparsely researched issue from the perspective of developing countries by estimating the implicit discount rate that workers reveal through their willingness to incur death risks on-the-job and quantity-adjusted value of life of workers using an original data set from the Indian labor market. The estimated real discount rate ranges from 7.6 to 9.7 per cent, which is closer to the financial market rate for the study period and consistent with earlier studies from developed nations. The estimated value of life ranges are Rs. 24.3–26.5 (US $1.34–1.47) million. The results of the study can aid policy makers, international agencies, and researchers in evaluating health projects in India and other developing nations.


1989 ◽  
Vol 3 (4) ◽  
pp. 181-193 ◽  
Author(s):  
George Loewenstein ◽  
Richard H Thaler

We examine a number of situations in which people do not appear to discount money flows at the market rate of interest or any other single discount rate. Discount rates observed in both laboratory and field decision-making environments are shown to depend on the magnitude and sign of what is being discounted, on the time delay, on whether the choice is cast in terms of speed-up or delay, on the way in which a choice is framed, and on whether future benefits or costs induce savoring or dread.


Author(s):  
T. Clifton Morgan ◽  
Glenn Palmer

The “two-good theory” is a theory of foreign policy that is meant to apply to all states in all situations; that is, it is general. The theory is simple and assumes that states pursue two things in theory with respect to foreign policies: change (altering aspects of the status quo that they do not like) and maintenance (protecting aspects of the status quo that they do like). It also assumes that states have finite resources. In making these assumptions, the theory focuses on the trade-offs that states face in constructing their most desired foreign policy portfolios. Further, the theory assumes that protecting realized outcomes is easier than bringing about desired changes in the status quo. The theory assumes that states pursue two goods instead of the more traditional one good; for realism, that good is “power,” and for neorealism, it is “security.” This small step in theoretical development is very fruitful and leads to more interesting hypotheses, many of which enjoy empirical support. The theory captures more of the dynamics of international relations and of foreign policy choices than more traditional approaches do. A number of empirical tests of the implications of the two-good theory have been conducted and support the theory. As the theory can speak to a variety of foreign policy behaviors, these tests appropriately cover a wide range of activities, including conflict initiation and foreign aid allocation. The theory enjoys support from the results of these tests. If the research relaxes some of the parameters of the theory, the investigator can derive a series of corollaries to it. For example, the initial variant of the theory keeps a number of parameters constant to determine the effect of changes in capability. If, however, the investigator allows preferences to vary in a systematic and justifiable manner (consistent with the theory but not established by the theory), she can see how leaders in a range of situations can be expected to behave. The research strategy proposed, in other words, is to utilize the general nature of the two-good theory to investigate a number of interesting and surprising implications. For example, what may one expect to see if the United States supplies a recipient state with military aid to counter a rebellion? Under reasonable circumstances, the two-good theory can predict that the recipient would increase its change-seeking behavior by, for instance, engaging in negotiations to lower trade barriers.


2020 ◽  
Vol 11 (03) ◽  
pp. 2041004
Author(s):  
CHENFEI QU ◽  
XI YANG ◽  
DA ZHANG ◽  
XILIANG ZHANG

Climate policies can bring local air quality and health co-benefits, which may partially or entirely offset the costs of implementing these policies. In this study, we introduce an integrated health co-benefits assessment model, the Regional Emissions-Air quality-Climate-Health (REACH) Modeling Framework, which is capable of evaluating the impact of policies on air pollution-related mortality and morbidity in the whole economic system overtime at the provincial level for China. We first provide a detailed description of the modeling framework and conduct a case study to estimate the health benefits of different climate policy scenarios. We show that a scenario consistent with the 2∘C target that peaks China’s emissions before 2025 could avoid around 190 thousand premature deaths in 2030. The health benefits could partially or fully cover the policy costs under different assumptions of the value of a statistical life (VSL). Our framework also illustrates that estimated costs and health benefits distribute unevenly across regions in China.


1998 ◽  
Vol 24 (8) ◽  
pp. 16-25
Author(s):  
Michael J. Seiler ◽  
Peter Shyu ◽  
J.L. Sharma

2017 ◽  
Vol 9 (1) ◽  
pp. 202-228 ◽  
Author(s):  
Gianmarco León ◽  
Edward Miguel

This paper exploits an unusual transportation setting to generate some of the first revealed preference value of a statistical life (VSL) estimates from a low-income setting. We estimate the trade-offs individuals are willing to make between mortality risk and cost as they travel to and from the international airport in Sierra Leone. The setting and original dataset allow us to address some typical omitted variable concerns, and also to compare VSL estimates for travelers from different countries, all facing the same choice situation. The average VSL estimate for African travelers in the sample is US$577,000 compared to US$924,000 for non-Africans. (JEL I12, J17, O15, O18, R41)


ACC Journal ◽  
2021 ◽  
Vol 27 (2) ◽  
pp. 44-55
Author(s):  
Benedikt Frank

This article shows the economic impact of mental illness, as well as various cost-estimating approaches. To assess the burden of mental diseases, there are three different ways: the human capital, the economic growth and the value of statistical life approach. The first focuses on indirect and direct costs. Moreover, the effect of mental illness on economic development can only be approximated implicitly. Thus, the lack of production is primary estimated for somatic conditions compared to their corresponding quantity of disability-adjusted life years (DALYs). The total economic productivity drop associated with mental illnesses between 2011 and 2030 is rated to be US$16.3 trillion globally. Furthermore, the value of statistical life (VSL) method suggests that trade-offs between risks and capital should be used to assess the probability of injury or death due to psychiatric illness. This computation is equivalent to that of cardiovascular disease and bigger than that of cancer. However, greater activism is required to better the existing condition.


2021 ◽  
Vol 13 (21) ◽  
pp. 11777
Author(s):  
Sunbin Yoo ◽  
Shunsuke Managi

Motivated by the global fear of the Coronavirus-19 (COVID-19) pandemic, we investigated whether lockdowns save people from air pollution, notably from Nitrogen Dioxide (NO2). Using daily satellite data from the National Aeronautics and Space Administration (NASA), we first found that the global NO2 tropospheric vertical column density (TVCD) decreased by 16.5% after the Coronavirus-19 (COVID-19) outbreak. Then, we calculated the global health benefits, as the monetized value of life, using the value of a statistical life (VSL). The total global health benefits were approximately 8.73 trillion USD, accounting for 10% of the global GDP; such benefits would be the largest in China, followed by the United States, Japan and Germany. Our results suggest that lockdowns may bring benefits to countries that policy interventions cannot easily bring, thus highlighting the importance of social distancing.


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