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论文作者:英语论文论文属性:硕士毕业论文 thesis登出时间:2014-10-23编辑:yangcheng点击率:28347
论文字数:13572论文编号:org201410141210053206语种:英语 English地区:美国价格:免费论文
关键词:英语论文Economics Essay工资差别宏观经济
摘要:本文是一篇统计挪威的宏观经济的留学生英语论文,世界各地的许多政府使用不同的估计方法来测试补偿性的工资差别。通过使用这样的权衡,似乎可以对环境问题和公共安全措施进行效益分析。
Is the estimated coefficient of the death rate is influenced by including or exclusion of women, when used data from the Labour Inspection death rate?
Does women or men getting paid different compensation for the same increase in risk?
He writes that an answer to the first question will put light on why there are large discrepancies in the estimation of the value of life in literature which sometimes include or exclude women from their tests. In attempting to justify the question two, he points out that it is made new death rate for both men and women. Since it is not collected data sets to distinguish between men and women or race. It appears from the information he received from Janet Macon from OSHA statistics agency (ibid: 257).
He describes the data he uses so that the first study, a data rate of death combined with the men and women of death based on the industry that is coded 'SIC' with two and three digits that are provided by the labour bureau statistics from 1979. The second set of data he uses is based on the estimation of men and women separately from a death rate period from 1980 to 1984 (ibid: 258).
In the Texas data set from 1982, it was 93.8 per cent men involving death. He suggested that to find the death rate for males would be easy if they had assumed that the Texas percentage applied to all three digit industries. The method he suggested was to time the Texas percentage with the number of deaths in each three-digit industries. But Leigh wrote that this would lead to bias in the estimation because this method could be applied only if the number of employment in the industry was identical to the percentage in Texas, then one could easily apply the method that was mentioned with great confidence. But if the number but the industry was under or over the Texas rate, the estimation would not have been a good and real estimation of the death rate. (ibid: 259).
Based on the empirical results, he answers the two questions mentioned above. He excludes women from the calculation, and the estimated coefficient falls from 0.0037 to 0.0032 which represents 13.5 percent decline. It indicated that the death rate was very low responsive to who was included in the sample. Because of the way the coefficient was estimated, an estimation of the value of a life that is only for men, being 13.5 percent lower than a regression for both men and women combined (ibid: 264).
Also, the death rate found in the estimation of 1979 were little sensitive about who was included or not. The coefficient that was estimated had a deviation of 0.0001. This estimate cha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。