Compensating Wage Differentials with Unemployment: Evidence from China

We estimate the economic value of mortality risk in China using the compensating-wage-differential method. We find a positive and statistically significant correlation between wages and occupational fatality risk. The estimated effect is largest for unskilled workers. Unemployment reduces compensation for risk, which suggests that some of the assumptions under which compensating wage differentials can be interpreted as measures of workers’ preferences for risk and income are invalid when unemployment is high. Workers may be unwilling to quit high-risk jobs when alternative employment is difficult to obtain, violating the assumption of perfect mobility, or some workers (e.g., new migrants) may be poorly informed about between-job differences in risk, violating the assumption of perfect information. These factors suggest our estimates of the value per statistical life (VSL) in China, which range from approximately US$30,000 to US$100,000, may be biased downward. Alternative estimates adjust for heterogeneity of risk within industry by assuming that risk is concentrated among low-skill workers. These estimates, which are likely to be biased downward, range from US$7,000 to US$20,000.      

Valuing Mortality Risk in Kuwait: Stated-Preference with a New Consistency Test

We report stated-preference estimates of the value per statistical life (VSL) for Kuwaiti citizens obtained using an innovative test to identify respondents whose survey responses are consistent with economic theory. The consistency test requires that an individual report strictly positive willingness to pay (WTP) for mortality-risk reduction and that his responses to binary-choice valuation questions for two risk reductions be consistent with the theoretical requirement that WTP is less than but close to proportional to the change in risk reduction. Our estimates of VSL, $18–32 million, are approximately two to four times larger than values accepted for the United States. These values may reflect cultural factors as well as the substantially larger disposable income of Kuwaiti citizens.     

A Mixed Logit Approach to Study Preferences for Safety on Alpine Roads

This paper presents a mixed logit approach to the valuation of reductions in mortality risk on Alpine roads. In addition to common road accidents, users of these roads face risks from natural hazards such as avalanches and rockfalls. Moreover, the individual risk of road users varies with the frequency of their exposure. Drawing on choice experimental data of frequently exposed respondents from a mountainous region and less frequently exposed respondents from a city in Switzerland, we are able to estimate the value of statistical life (VSL). Furthermore, we explore how respondents differ in their individual willingness-to-pay depending on exposure and other individual characteristics. Our estimates of the VSL in the context of fatal accidents on Alpine roads are in the range of CHF 6.0–7.8 million (€3.9–5.1 million). We find the VSL to be dependent on socio-economic and perceptional factors but to be not significantly altered by the type of hazard. These findings imply that the VSL might be adjusted to account for heterogonous risk preferences of different societal groups, but there is no evidence of a ‘dread’ premium for natural hazards.     

Willingness to Pay to Reduce Mortality Risks: Evidence from a Three-Country Contingent Valuation Study

Valuing a change in the risk of death is a key input into the calculation of the benefits of environmental policies that save lives. Typically such risks are monetized using the Value of a Statistical Life (VSL). Since the majority of the lives saved by environmental policies are those of older persons, there has been much recent debate about whether the VSL should be lower for the elderly to reflect their fewer remaining life years. We conducted a contingent valuation survey in the UK, Italy and France designed to answer this question. The survey was administered in these three countries following a standardized protocol. Our results suggest that the VSL is €1.022 million or €2.264 million, depending on whether we use median or mean WTP. The VSL is not significantly lower for older persons, but is higher for persons who have been admitted to a hospital or emergency room for cardiovascular and respiratory problems. Income is positively and significantly associated with WTP. The income elasticities of the WTP increase gradually with income levels and are between 0.15 and 0.5 for current income levels in EU countries. We use the responses to the WTP questions to estimate the value of an extension in remaining life expectancy. The value of a loss of one year’s life expectancy is €54,000 or €163,000.     

VALUING REDUCED RISKS TO CHILDREN: THE CASE OF BICYCLE SAFETY HELMETS

The protection of children's health has recently become a mandated priority for federal policy makers. To assess many of the regulations that affect children's health, policy makers need estimates of the monetary value of reducing mortality risks to children. Although the economics literature has provided many estimates of the value of statistical life (VSL) for adult populations, it has provided none for school age children. This article studies the market for bicycle safety helmets and estimates for the first time a separate but comparable VSL for children and adults. We derive three estimates of VSL for each of three age categories (5 to 9, 10 to 14, and 20 to 59) that range from $1.1 to $4.0 million. In all cases, estimates for adults are highest, followed by estimates for the youngest children.     

The Effect of Risk Context on the Value of a Statistical Life: a Bayesian Meta-model

This paper presents the first value of statistical life (VSL) meta-analysis that empirically estimates correction factors for ‘out of context’ benefits transfer (BT) purposes. In the field of mortality risk reductions elicited willingness to pay values in one risk context, say road safety, are frequently applied in other risk contexts like air pollution. However, differences in risk perception and the population at risk across contexts are likely to result in diverging VSL estimates. In a meta-analysis of 26 international stated preference studies, a Bayesian model is estimated regressing contingent values for mortality risk reductions, originating from three different risk contexts, on the characteristics of the risk reduction itself and additional variables characterizing the underlying studies. A willingness to pay (WTP) premium for mortality risk reductions in the air pollution and general mortality risk context relative to improving road safety is observed. Evaluated at the mean, road safety VSL estimates should be multiplied by a factor 1.8 before being applicable in the air pollution context. Moreover, in an illustrative BT exercise we find limited overlap in the set of context specific predictive VSL distributions. Consequently, ‘out of context’ BT results in a substantial over- or underestimation of the VSL.     

Using job changes to evaluate the bias of value of a statistical life estimates

This paper presents a new approach to obtaining unbiased estimates of the value of a statistical life (VSL) with labor market data. Investigating job changes, we combine the advantages of recent panel studies, allowing us to control for unobserved heterogeneity of workers, and conventional cross-sectional estimations, which are less affected by measurement error. We find a VSL of 6.1 million euros from pooled cross-sectional estimation, 1.5 million euros from the first-differences panel model and 2.0 million euros from the job-changer specification. Thus, ignoring individual heterogeneity causes overestimates of the VSL, whereas the attenuation bias in panel data models leads to underestimates of the VSL. Our results are less biased than former results and can be used to perform cost–benefit analyses of public projects aimed at reducing fatality risks, e.g., in the domains of environmental, health, or traffic policy.     

Value of a Statistical Life—the Case of Poland

This study investigates the relationship between wages and the risk of work-related death for male blue-collar workers. The size of the premium for risk and its statistical significance depend heavily on the inclusion of industry dummy variables into the regression. Irrespective of the type of risk variable used, controlling for industry at a finer breakdown lowers the price of risk and its statistical significance. Estimates of the value of a statistical life (VSL) proved to be more robust when an aggregated risk measure at three-digit occupational level was used. In this case, the VSL varied from 0.79 million USD (for the model with industry dummy variables at the three-digit level) to 2.41 million USD (for the model without industry dummy variables). To the best of the author’s knowledge, this is the first study estimating VSL using the compensating wage differential approach for countries in Central-Eastern Europe.     

The Economic Value of Air-Pollution-Related Health Risks in China: A Contingent Valuation Study

The economic value of preventing adverse health effects related to air pollution is estimated using contingent valuation in three diverse locations in China. Values are estimated for three health endpoints: cold, chronic bronchitis, and fatality. Alternative statistical models are tested to study their impact on estimated willingness to pay (WTP) and on the relationship between WTP and respondent characteristics. Using the official exchange rate, the sample-average median WTP to prevent an episode of cold ranges between US$3 and US$6, the WTP to prevent a statistical case of chronic bronchitis ranges between US$500 and US$1,000, and the value per statistical life ranges between US$4,000 and US$17,000. Estimated mean values are between two and thirteen times larger. Our estimates are between about 10 and 1,000 times smaller than estimates for the US and Taiwan using official exchange rates. Indoor air quality, measured for a subset of respondents, shows no consistent relationship with WTP.     

Exploring heterogeneity in the value of a statistical life: Cause of death v. risk perceptions

Most current environmental policy analyses use Value of a Statistical Life (VSL) figures inferred from workplace safety and traffic accident contexts to compute the benefits of environmental programs that avoid premature deaths. There is considerable debate about the appropriateness of this practice, in part because the effect of cause of death may be partly confounded with latency, initial risks, and competing risks. Preference for reducing risks can be also affected by individual-assessed risk attributes that are rarely controlled in valuation studies. This paper explores reasons for differences in preferences for mortality risk reductions (if any), and establishes the magnitude of the effects of such risk attributes as compared to other sources of VSL heterogeneity. In our conjoint choice experiments, cause of death, the size of the risk reduction, and latency, the “price” of the risk reduction and the mode of delivery of the risk reduction are explicit attributes of the alternatives to be examined by the respondent. Our statistical models also control for actual and perceived exposure to risks, initial risks, risk attributes such as dread, and sensitivity to and controllability of specific risks. We find that there is significant heterogeneity in the valuation of mortality risks and thus in the VSL. The VSL increases with dread, exposure to risk, and the respondents' assessments of the baseline risks. It is higher when the risk reduction is delivered by a public program, and increases with the effectiveness rating assigned by the respondent to the mode of the risk reduction. Even when we control explicitly for all of these factors, the cause of death per se accounts for a large portion of the VSL. All else the same, the fact that the cause of the death is “cancer” results in a VSL that is about one million euro above the amount predicted by dread, exposure and other risk perception variables. The VSL in the road safety context is about one million euro less than what is predicted by dread, exposure, or beliefs compared to VSL for the respiratory risk context. The effect of cause of death is thus as large as the effect of other sources of VSL heterogeneity. Our respondents do not seem to discount future risks.     

Aggregation Biases in Estimates of the Value per Statistical Life: Evidence from Longitudinal Matched Worker-Firm Data in Taiwan

This study uses a unique longitudinally-linked employer–employee dataset to estimate the magnitude of bias in estimating the value per statistical life (VSL) that arises from the conventional use of industry-average occupational risk. This unique dataset, covering workers in Taiwan over the period 1998–2002, allows us to distinguish among potential sources of bias including omitted variables and to control for the potential endogeneity of firm-specific job risk with respect to unobserved worker and firm characteristics. We find that VSL estimates based on risk data aggregated by three-digit manufacturing SIC codes are biased downward by an order of magnitude compared with estimates using firm-specific risk that control for endogeneity.     

The China–United States Bilateral Trade Balance: How Big Is It Really?

There are huge discrepancies between the official Chinese and US estimates of the bilateral trade balance. The discrepancies are caused by different treatments accorded to re-exports through Hong Kong, re-export markups, and trade in services. Deficit-shifting between China, on the one hand, and Hong Kong and Taiwan, on the other, owing to direct investment in China from Taiwan and Hong Kong, is partly responsible for the growth in the China–US bilateral trade deficit. The 1995 China–US bilateral balance of trade in goods and services, adjusted by both re-exports and re-export markups, may be estimated as US$23.3 billion, a large deficit but considerably smaller than the often-cited official US figure of US$33.8 billion.     

城市农民工生命统计价值研究： 基于改进的特征工资模型 ——来自上海的证据

本文在回顾国内外生命价值理论和实证的基础上，利用2009年和2012年上海农民工调查数据，采用特征工资模型对样本农民工的生命价值进行了估算，结果显示行业的伤亡风险对工资率有显著影响，改进模型比经典模型更适合生命价值的评估。基于改进模型得到的城镇农民工平均生命价值为93656万元，比基于经典模型估算的结果要高，原因在于经典模型中遗漏了消费这一重要变量。对年龄分段进行回归分析发现，生命价值与年龄的关系呈倒U型，在46岁~50岁达到最大，并且消费显著提高了老年人的生命价值，其隐含的政策含义对于中国死亡赔偿、生产安全、环境和健康政策的效益评估具有重要的参考价值。     

US Trade in Advanced Technology Products

In 2002, US net exports of advanced technology products (ATPs) registered a deficit of US$16.6 billion for the first time. By 2006, the ATP trade deficit reached US$43.7 billion. This is primarily due to China's increasing importance as an ATP import source and does not indicate a wholesale loss of US competitiveness in ATPs. Mostly, China's market share gain came at the expense of other Asian countries. This geographical shift in China's favor is due to her greater integration with Asian supply chains. Trade gravity regressions show that the USA exports more advanced technology parts and accessories to lower income countries but advanced technology capital and consumer goods imports by the USA are not correlated with the income of the import source countries. Thus, there is weak evidence that labor cost savings via foreign assembly operations dominate US ATP trade with middle and low income countries.     

Estimating the cost of an emergency room visit for migraine headache

SUMMARY

To provide a more comprehensive accounting of direct cost of treating headaches, it is imperative to quantify the cost of emergency room (ER) services specific to treating headaches. Published cost estimates for migraine-specific ER visits are currently not available. This study estimated the cost of treating migraine headaches in the ER from a payer's perspective, using ER discharge data for migraine from the 2000 National Hospital Ambulatory Medical Care Survey (NHAMCS). Costs were estimated using Medicare reimbursement rates. The total cost of an ER visit for migraine headache, defined as the ER visit and all additional services and procedures, was US$238.16. Based on the migraine prevalence of 9% to 27%, the annual estimate for total ER visit costs for migraine headache in the US in 2000 ranged from US$646 million to US$1.94 billion, which is substantial. ER costs for migraine may be much larger then previously estimated.     

Context and the VSL: Evidence from a Stated Preference Study in Italy and the Czech Republic

We report on the results of a survey based on conjoint choice experiments that was specifically designed to investigate the effect of context on the Value of a Statistical Life (VSL), an important input into the calculation of the mortality benefits of environmental policies that reduce premature mortality. We define “context” broadly to include (1) the cause of death (respiratory illness, cancer, road traffic accident), (2) the beneficiary of the risk reduction (adult v. child), and (3) the mode of provision of the risk reduction (public program v. private good). The survey was conducted following similar protocols in Italy and the Czech Republic. When do not distinguish for the cause of death, child and adult VSL are not significantly different from one another in Italy, and the difference is weak in the Czech sample. When we distinguish for the cause of death, we find that child and adult VSLs are different at the 1% level for respiratory illnesses and road-traffic accidents, but do not differ for cancer risks. We find evidence of a “cancer premium” and a “public program premium.” In both countries, the marginal utility of income is about 20% lower among wealthier people, which makes the VSL about 20% higher among respondents with incomes above the sample average. The discount rate implicit in people’s choices is effectively zero. We conclude that there is heterogeneity in the VSL, and that such heterogeneity is primarily driven by risk characteristics mode of delivery of the risk reduction, and income, while other individual characteristics of the respondent (e.g., age and education) are less important. For the most part, our results are in agreement with environmental policy analyses that use the same VSL for children and adults, and that apply a cancer premium.     

Macroeconomic costs to large scale disruptions of food production: The case of foot- and-mouth disease in the United States

We forecast the economic consequences of a widespread contamination of the food system based on a hypothetical outbreak of foot-and-mouth disease (FMD). Since the immediate effect on the livestock sector could affect the entire supply chain and US livestock, meat and dairy exports, we measure these impacts using GTAP, a multi-region, multi-sector computable general equilibrium (CGE) model of the global economy. The immediate “shocks” to the US livestock, raw milk and other animal products sectors indirectly affect all sectors of the economy, as well as international markets and trade. We decompose these effects due to each component of the initial shocks, and estimate the importance of these shocks to the national food system for the Mid-Atlantic Region using IMPLAN. Our GTAP results indicate that losses to the USA economy would be about $11.7 billion, and with the ripple effect throughout the rest of the world including beneficiary nations (Argentina, Brazil, Latin America, Australia and New Zealand) and losers (Canada, Mexico, European Union) would be 14.1 billion. We estimate the proportion of the domestic impact affecting the Mid-Atlantic Region. Based on a regional input–output model of that region, we estimate that total losses in value added are nearly $800 million; losses in labor income total about $565 million; and there are job losses of just over 12 thousand.     

Growth,mobility and social progress

We evaluate social progress on the basis of panel data on individual incomes by comparing the value of social welfare in the observed panel data to its value in a situation where individuals receive their first period income in each period. We derive necessary conditions for the welfare gain to be positive, and show how it can be decomposed in an effect of economic growth, a mobility effect and a cost due to aversion to time fluctuations given individuals’ ranks in the income distribution. The mobility effect, generated by reranking in the income distribution has two components: a cost due to time fluctuations in incomes and a benefit, due to equalization in time averaged incomes. We illustrate the analysis using CNEF data for Australia, Korea, Germany, Russia, Switzerland and the US. Our results indicate that the largest component of social progress is the equalization of time averaged income, induced by reranking. In countries with high growth (Australia, Korea and Russia), the growth effect is larger than the mobility effect, but in countries with low growth (Germany, Switzerland and the US), the opposite holds true. The poor performance of the US is explained by the large costs of income fluctuations and the way economic growth is distributed.     

ROY MODEL SORTING AND NONRANDOM SELECTION IN THE VALUATION OF A STATISTICAL LIFE*

Wage‐hedonics is used to recover the value of a statistical life (VSL) by exploiting the fact that workers choosing riskier occupations are compensated with a higher wage. Roy (Oxford Economic Papers 3 (1951), 135–46) suggests that observed wage distributions will be distorted if individuals choose jobs according to idiosyncratic returns. We describe how this type of sorting biases wage‐hedonic VSL estimates and implement two new estimation strategies that correct that bias. Using data from the Current Population Surveys, we recover VSL estimates that are three to four times larger than those based on the traditional techniques, statistically significant, and robust to a wide array of specifications.