英文标题：
《Statistical Mechanics of Labor Markets》
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作者：
He Chen, Jun-ichi Inoue
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最新提交年份：
2013
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英文摘要：
  We introduce a probabilistic model of labor markets for university graduates, in particular, in Japan. To make a model of the market efficiently, we take into account several hypotheses. Namely, each company fixes the (business year independent) number of opening positions for newcomers. The ability of gathering newcomers depends on the result of job matching process in past business years. This fact means that the ability of the company is weaken if the company did not make their quota or the company gathered applicants too much over the quota. All university graduates who are looking for their jobs can access the public information about the ranking of companies. Assuming the above essential key points, we construct the local energy function of each company and describe the probability that an arbitrary company gets students at each business year by a Boltzmann-Gibbs distribution. We evaluate the relevant physical quantities such as the employment rate. We find that the system undergoes a sort of `phase transition\' from the `good employment phase\' to `poor employment phase\' when one controls the degree of importance for the ranking.
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中文摘要：
我们介绍了一个大学毕业生劳动力市场的概率模型，尤其是在日本。为了有效地建立市场模型，我们考虑了几个假设。也就是说，每家公司都会为新员工确定（独立于业务年度的）空缺职位数量。收集新员工的能力取决于过去几年工作匹配过程的结果。这一事实意味着，如果该公司没有完成配额，或者该公司在配额之外聚集了太多申请人，那么该公司的能力就会削弱。所有正在找工作的大学毕业生都可以获得有关公司排名的公开信息。假设上述关键点，我们构造了每个公司的局部能量函数，并通过玻尔兹曼-吉布斯分布描述了任意公司在每个营业年度招收学生的概率。我们评估相关的物理量，如就业率。我们发现，当一个人控制排名的重要程度时，该系统经历了一种从“良好就业阶段”到“糟糕就业阶段”的“阶段转变”。
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：General Finance        一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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