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Jingdong book

数据包络分析方法与MaxDEA软件

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Jingdong book

数据包络分析方法与MaxDEA软件

Name: 数据包络分析方法与MaxDEA软件
Brand: Jingdong book
SKU: 3118203711
Price: 33.53 USD
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Content Description

《数据包络分析方法与MaxDEA软件》通过方法介绍与软件操作相结合、数学模型与图示相结合的叙述方法，为广大DEA的应用者提供一本容易看懂、简单实用的指导书。同时在书中穿插了作者过去5年学习研究DEA的成果。
《数据包络分析方法与MaxDEA软件》第1章介绍了DEA的基本情况和MaxDEA软件的基本操作方法，第2章介绍了DEA基础模型（CCR和BCC），第3章介绍了DEA模型的规模收益类型与规模弹性的计算方法，第4章介绍了DEA模型的各种距离函数，第5章介绍了超效率模型并给出了VRS超效率模型无可行解问题的解决方案，第6章介绍了在DEA模型中对投入和产出指标的特殊处理方法，第7章是广义DEA模型，第8章是面板数据DEA模型。在各章中均包含了MaxDEA软件求解实例或详细操作方法。

Author Description

成刚，北京大学中国卫生发展研究中心，博士后，主要研究领域：卫生事业管理，卫生经济，数据包络分析。

Catalogue

第1章引言
1.1 数据包络分析简介
1.2 MaxDEA软件的主要特点
1.3 MaxDEA软件的基本操作
1.3.1 MaxDEA软件的系统要求
1.3.2 准备数据
1.3.3 运行模型
1.4 MaxDEA软件注册

第2章 DEA基础模型
2.1 技术效率的概念
2.2 基于规模收益不变的CCR模型
2.2.1 投入导向CCR模型的规划式
2.2.2 产出导向CCR模型的规划式
2.2.3 投入导向CCR模型图解
2.2.4 产出导向CCR模型图解
2.3 基于规模收益可变的BCC模型
2.3.1 投入导向BCC模型的规划式
2.3.2 产出导向BCC模型的规划式
2.3.3 投入导向BCC模型图解
2.3.4 产出导向BCC模型图解
2.4 FDH模型
2.5 投入导向和产出导向效率值的关系
2.6 规模效率问题
2.7 DEA模型的命名问题
2.8 强有效、弱有效与松弛变量问题
2.9 比例改进与松弛改进的关系
2.1 0 DMU数量、投入产出指标和模型导向的选择
2.1 0.1 DEA模型对DMU数量的要求
2.1 0.2 投入和产出指标的选择
2.1 0.3 模型导向的选择
2.1 1 MaxDEA求解DEA基础模型示例
2.1 1.1 模型设置
2.1 1.2 分析结果

第3章 DEA模型的规模收益与规模弹性
3.1 DEA模型的规模收益类型
3.2 DMU规模收益状态的判断
3.2.1 通过包络模型判断规模收益状态
3.2.2 通过乘数模型判断规模收益状态
3.3 规模弹性
3.3.1 规模弹性的概念
3.3.2 通过包络模型直接求解规模弹性（直接法）
3.3.3 通过乘数模型求解规模弹性（虚拟投入产出法）
3.4 用MaxDEA求解规模收益状态和规模弹性示例

第4章 DEA模型的距离函数
4.1 至前沿最远距离（SBM模型）
4.1.1 SBM模型
4.1.2 加权SBM模型
4.1.3 MSBM模型
4.1.4 投影值约束SBM模型
4.1.5 MaxDEA求解SBM模型和加权SBM模型示例
4.1.6 MaxDEA求解投影值约束SBM模型示例
4.2 至强有效前沿最近距离
4.2.1 非导向至强有效前沿最近距离的计算方法
4.2.2 MaxDEA求解非导向MinDS模型示例
4.2.3 MinDS模型的特殊性
4.2.4 求解投入导向和产出导向MinDS模型的方法
4.2.5 MaxDEA求解投入导向和产出导向MinDS模型示例
4.3 方向距离函数
4.3.1 方向距离函数模型
4.3.2 方向距离函数模型的乘数形式
4.3.3 方向距离函数模型中对坏产出的处理及对弱可处置性是否合理的讨论
4.3.4 方向距离函数模型的几种特例
4.3.5 一般方向距离函数模型效率值的计算方法
4.3.6 对方向距离函数模型的扩展
4.3.7 MaxDEA求解方向距离函数模型示例
4.4 方向向量扫描模型
4.4.1 方向向量扫描模型的定义和功能
4.4.2 方向向量扫描的实现方法
4.4.3 MaxDEA求解方向向量扫描模型示例
4.4.4 通过方向向量扫描建立无差异曲线
4.5 至弱有效前沿最近距离
4.5.1 至弱有效前沿最近距离的计算方法
4.5.2 MaxDEA求解MinDW模型示例
4.6 混合距离函数
4.6.1 EBM模型
4.6.2 EBM模型的缺陷与改进方法
4.6.3 Hybrid模型
4.6.4 MaxDEA软件求解混合距离函数模型操作方法
4.7 包含价格信息的距离函数
4.7.1 成本效率、收益效率、利润效率模型
4.7.2 MaxDEA软件求解成本效率等模型的操作方法

第5章超效率模型
5.1 径向超效率模型
5.2 方向距离函数超效率模型
5.3 SBM超效率模型
5.4 超效率模型无可行解问题
5.4.1 VRS超效率模型无可行解的原因
5.4.2 VRS超效率模型无可行解的解决方法一
5.4.3 VRS超效率模型无可行解的解决方法二
5.4.4 VRS超效率模型无可行解的解决方法三
5.5 MaxDEA软件求解超效率模型示例
5.5.1 对VRS超效率模型无可行解问题解决方法的比较
5.5.2 通过超效率模型探测异常数据

第6章 DEA模型中对特殊投入产出指标的处理
6.1 坏产出投入指标
6.2 指标中存在0的问题
6.3 负数指标问题
6.4 外部不可控因素或不可控投入产出指标
6.5 限制投入产出指标的目标值边界
6.6 保证域模型

第7章广义DEA模型
7.1 广义DEA模型
7.2 群组参比模型
7.2.1 自我参比
7.2.2 交叉参比
7.2.3 向下参比
7.2.4 向上参比
7.2.5 下方邻群参比
7.2.6 上方邻群参比
7.2.7 窗口参比
7.3 群组参比模型的数据格式
7.4 MaxDEA软件求解广义DEA模型的操作示例
7.4.1 自定义被评价集和参考集
7.4.2 Metafrontier技术缺口比率

第8章面板数据模型
8.1 窗口模型
8.2 Malmquist模型
8.2.1 相邻参比Malmquist指数（Adjaeent Malmquist）
8.2.2 固定参比Malmquist指数（Fixed Malmquist）
8.2.3 全局参比Malmquist指数（Global Malmquist）
8.2.4 序列参比Malmquist指数（Sequential Malmquist）
8.2.5 窗口参比Malmquist指数（window Malmquist）
8.2.6 各类Malmquist指数比较
8.3 MaxDEA软件中各类Malmquist模型的操作
8.4 MaxDEA软件中各类Malmquist模型的结果
8.5 Malmquist指数的分解
8.5.1 Fare R等人（1992）的分解方法
8.5.2 Fare R等人（1994）的分解方法
8.5.3 Ray S C和Desli（1997）的分解方法
8.5.4 Zofio（2007）的分解方法
8.6 几种常用的Malmquist组合模型
8.6.1 Malmquist-Luenberger指数
8.6.2 成本一Malmquist指数
8.6.3 Metafrontier-Malmquist模型

附录
附1 本书未介绍的MaxDEA包含的模型
附2 MaxDEA的一些使用技巧
附3 MaxDEA软件版本更新及功能
参考文献

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