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, while the one job ka has been more dangerous than the second job. Another explanation may have been the merging of groups that had nothing to do with each.

 

Another reason for the error could have been causes of death had not any compensation. For example, bartenders can be described as people who love to drink and because of drinking, they damage their internal organs that may result after time to death (ibid: 829).

 

One problem the authors pointed out is possible transfer of people with deadly diseases from one job to another before they died. It may be mentioned people who worked in mining industry. When these miners showed signs of serious diseases, they are transferred to work on the surface and when they die, the cause will be recorded on the last job they performed even if they were sick of working underground. Because of these above listed reasons, found Marin and Psacharopoulos (1982) that GENRISK is subject to measurement errors (ibid: 83).

 

Given these measurement errors, they created a new variable called ACCRISK, and the latter variable was reduced by such problems as GENRISK had. ACCRISK was the rate of deaths by accident minus the rate that was expected given the age structure of the profession. Another important reassessment that led to the choice of ACCRISK was that the expected compensation is not based on the actual risk of the job, but rather about how dangerous workers think this job can be. For example, many occupational related cancers that have a fairly long waiting time for the disease to show up, and it remains unproven about which of them is job-related and which is not. Marin and Psacharopoulos (1982) by using a regression based on usage of cancer risk tried to see if people demand more compensation for carcinogens causes than any other form of death, but they could not find any significant results, since people had no idea about the size of carcinogenic reasons. Since the worker would rather know the causes of such deaths in the job, and such hazards are fairly obvious and there is no need for statistical outputs to connect the person's death to the profession. Therefore ACCRISK variable was based on market labor specific risk, compared with GENRISK which rather refers to the overall death (ibid: 831).

 

The first results were estimated using a linear regression showed that the labor market to compensate for the disadvantages of having a higher risk as theory had predicted. So it was shown that ACCRISK had stronger results compared to GENRISK, since the coefficient of ACCRISK had a t-statistic value of 7.7% significant level. The results were calculated could be used to calculate the implicit value of life. Coefficient of RISK that was based on deaths per 1000 workers each year would indicate an amount that workers would require to accept a job that contained a probability of death at 1/1000 in each year (ibid: 836).

 

It also means that by reducing the likelihood of deaths per 1/1000, would lead to 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。