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='MsoNormal'> Their empirical work was based on a large collection of data on workers' wages and personal characteristics of individuals who created the data related to salaries of different states and different industry. The selected data were given in 1982 by the University of Michigan and is a type of panel data of the dynamics behind income (PSID). This data includes both random and non-random observations and justified the choice that those who ended up under the poverty line, was specifically included in this dataset. After filtering the data set, what were left were 1349 observations that were complete and were used during the estimation.

The general method used in this study, test workers' wages by running regression and or the natural logarithm of a number of variables that explain, for example, the worker's risk level, personal characteristics and job characteristics (Viscusi and Moore 1988a: 478). To have a proper assessment of the exchange between wage and risk, one should keep these attitudes that are not part of the risk characteristics constant in order to measure the effect of have the possibility to die based on salary. The coefficient of risk of death then gives risk dollar trade-off is used to calculate the value of one life. This value, according to Viscusi and Moore will represent the value of statistical life that is based on an exchange between a number of workers that require a variety of compensation for exposing themselves to small risk of death (ibid: 478).

Moore and Viscusi suggest that this study can be viewed in two different ways. The first is described so that the estimated value of one life is a total amount of compensation where a group of workers required meeting the expected deaths in a job. The second is described as a compensation that is required per unit of risk that workers will face in the job, and the value is a type of exchange of risk probability that is used to create an instrument of trade, in which society should have when they deal with policies for risk reduction of large scales (ibid: 478).

Moore and Viscusi (1988a) links worker's risk of death based on the worker's current industry to establish the worker's risk of death. Furthermore, they are using data that were published from the U.S. Bureau of Labour Statistics office. The data was a type of industry based with link to the deaths of the various industries, but with industrial classification (SIC) code level. They focused on a period from 1972 to 1982 to remove interference that may occur due to catastrophic accidents in a particular year (ibid: 480).

They go deep into explaining their data sources that were originally provided by the National Institute of Occupational Safety and Health (NIOSH). NIOSH has collected occupational fatality by collecting data using their National Traumatic Occupational Fatality (NTOF) project. NTOF is different than the previous data collection U.S. Bureau of Labour Statistics (BLS). NTOF have collected data during the period 1980-1985, and contain all the different NTOF death本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。