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Ceo Compensation Study

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金融计量第三次作业(本科+硕士)
要求:
A. 提交截止时间:2014 年 4 月 23 日; B. 将所有数据处理工作写入 dofile,名称为 W3_姓名_学号.do; C. 所有分析过程和结果写入 word 文档,按照《经济学(季刊)》的格式排版,名称为 W3_ 姓名_学号.docx。注:这是我评分的主要依据。 D. 将上述两份文档(无需压缩,以便于我直接打开查看)发送至:ef_lianyujun@163.com。 E. 邮件标题为:本科_W3_姓名_学号(本科生) ;硕士_W3_姓名_学号(硕士生) 。不按照 我的要求填写邮件标题可能导致作业漏登。 F. 请勿发送数据文档。

你的任务:
目的:研究中国民营企业高管薪酬的影响因素。 1. 请查阅国内外相关文献,对高管薪酬影响因素方面的文献做简要评述(500-1000 字) 。 评述的主要内容包括: 文献中主要从哪些角度研究了高管薪酬问题?(2) 影响高管薪 (1) 酬的主要因素有哪些?(3) 现有文献中有关高管薪酬决定因素的研究中,已经比较一致 的观点有哪些?尚存争议的观点有哪些? 2. 统计分析各个一级行业(SIC)在各个年度上的平均 CEO_compen,并作简要分析; 3. 在每个年度上,分别根据营业收入 (Sale)、负债率、ROA 和 Salegr 将样本分成两组: High 和 Low 组。 统计基于不同指标分组后两组公司的 CEO_compen 的平均值; 计 (1) (2) 算两组均值差异,并采用 t-test 检验均值差异是否显著。 (提示:t-test 可以使用 ttest 命 令,亦可使用外部命令 ttable2 或 ttestplus 等) 。表格形式如下: 分组指标 Sale Leverage ROA Salegr High Mean1 Mean1 Mean1 Mean1 Low Mean2 Mean2 Mean2 Mean2 difference Mean1-Mean2 Mean1-Mean2 Mean1-Mean2 Mean1-Mean2 t-value***

4. 设定线性回归模型, 被解释变量为 CEO_compen (在第二次作业中已经定义了这个变量)。 (1) 解释变量可以根据你查阅的文献自行设定,说明你选择的变量反映了哪些方面的影 响(如经营业绩、资本结构、资产结构、行业特征、年度特征、公司治理、经理人个人 特征等)?(2) 对于选入的每个解释变量都要给出变量的定义、计算方法以及所参考的 主要文献。(3) 样本的筛选过程和离群值的处理方法需要详细说明。 提示:建议设定如下模型形式: CEO _ compenit  a  1 X it  s  t   it (1) 其中,CEO_compenit 表示公司 i 在第 t 年的高管薪酬,X 为一系列你认为可能影响高管 薪酬的解释变量, s 表示 S–1 个行业虚拟变量(基于上次作业中定义的一级行业分类变量 SIC 产生) t 表示 T–1 个年度虚拟变量吗,  it 为干扰项。 , 5. 基本统计量的呈现。呈现模型中涉及的所有变量的基本统计量(Mean, SD, median, min, max, N) ,并将结果输出整理到 word 文档中,并作简要分析。提示:建议使用 tabstat 命令进行统计,进而配合使用 logout 命令输出到 Excel 中,稍作整理后贴入 Word。
1

6. 变量的相关系数矩阵。 使用 pwcorr 或 pwcorr_a 命令计算文中核心变量的相关系数矩阵。 要求:小数点后统一保留三位有效数字;分别用***, **, * 标注 1%, 5%, 10%显著水平。 7. 回归分析 1。以回归模型 (1) 为基础,请呈现如下三种设定下下的回归结果: (1) 模型中仅包含 X;即仅考虑一般意义上的解释变量; (2) 模型中同时包含 X 和 s ;即进一步考虑行业虚拟变量,或曰行业特征; (3) 模型中同时包含 X, s 和 t ;即同时考虑行业特征和年度特征; 请简要分析你的结果。 (要求:采用 esttab 命令呈现上述三列结果,整理为 word 表格;系数估计值保留小数 点后三位; 括号中写 t 值, 保留小数点后两位, 标准误的计算采用异方差稳健性标准误; 分别用***, **, * 标注 1%, 5%, 10%显著水平。 ) 8. 回归分析 2。请想办法研究如下问题,并作出简要分析: (1)

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