课程门户-章节详情

钱梦岑

1 Week 1: Course overview [F2F] (第1周：课程概览 [课堂] )
- 1.1 Instruction (导语)
- 1.2 Syllabus & Rubrics（教学大纲与评分规则）
- 1.3 Health policy evaluation and econometrics? （卫生政策评估与计量经济学)
- 1.4 Peer collaboration: Knowledge points mind map（同伴协作：知识点思维导图）
2 Week 2：Estimator properties [F2F] (第二周：估计量性质 [课堂])
- 2.1 Instruction (导语)
- 2.2 Understand the estimation process (理解估计过程)
- 2.3 Peer collaboration: Knowledge points mind map（同伴协作：知识点思维导图）
3 Week 3: Hypothesis testing [Online] (假设检验 [线上])
- 3.1 Instruction (导语)
- 3.2 Hypothesis testing (假设检验)
- 3.3 Education gradient of health behaviors (健康行为的教育梯度)
- 3.4 Peer collaboration and Q&A (同伴协作与答疑讨论)
4 Week 4: Selection of control variables [Online] (第3周：控制变量选择 [线上])
- 4.1 Instruction (导语)
- 4.2 Model specification (模型设定)
- 4.3 Confirmatory bias and health decisions (认知偏差与健康决策)
- 4.4 Peer collaboration and Q&A (同伴协作与答疑讨论)
5 Week 5: Omitted variable bias and instrumental variable technique [Online] (遗漏变量偏差与工具变量 [线上])
- 5.1 Instruction (导语)
- 5.2 Omitted variable bias (遗漏变量偏差)
- 5.3 IV method (工具变量法)
- 5.4 Peer collaboration and Q&A (同伴协作与答疑讨论)
6 Week 6: Vertical case discussions and critiques of instrumental variable technique applications [F2F] (工具变量法应用的纵向案例讨论与品鉴 [课堂])
- 6.1 Instruction (导语)
- 6.2 Vertical case discussion (案例纵向讨论)
- 6.3 News article sharing (学生新闻分享)
7 Week 7: Principles of panel data approaches [online] (面板数据处理方法 [线上])
- 7.1 Instruction (导语)
- 7.2 Waiting time and hospital costs (等待时间与医院成本)
- 7.3 Panel data model: method (面板数据处理方法)
- 7.4 Peer collaboration and Q&A (同伴协作与答疑讨论)
8 Week 8: Vertical case discussions and critiques of panel data approaches applications [face-to-face] (面板数据处理方法的纵向案例讨论与品鉴 [课堂])
- 8.1 Introduction (导语)
- 8.2 Vertical case discussion (案例纵向讨论)
- 8.3 News article sharing (学生新闻分享)
9 Week 9: Principles of difference-in-differences model [online] (双重差分模型 [线上])
- 9.1 Instruction (导语)
- 9.2 Classical DID model (经典双重差分)
  - 9.2.1 A simple example（一个经典例子）
- 9.3 Peer collaboration and Q&A (同伴协作与答疑讨论)
10 Week 10: Vertical case discussions and critiques of DID model applications [face-to-face] (双重差分方法的纵向案例讨论与品鉴 [课堂])
- 10.1 Introduction (导语)
- 10.2 Vertical case discussion (案例纵向讨论)
11 Week 11: Principles of regression discontinuity design [online] (断点回归设计 [线上])
- 11.1 Instruction (导语)
- 11.2 Technical notes of RDD (断点回归的技术要点)
- 11.3 Retirement and healthcare utilization (退休与卫生服务利用)
- 11.4 Peer collaboration and Q&A (同伴协作与答疑讨论)
12 Week 12: Vertical case discussions and critiques of regression discontinuity design applications [face-to-face] (断点回归设计的纵向案例讨论与品鉴 [课堂])
- 12.1 Introduction (导语)
- 12.2 Vertical case discussion (案例纵向讨论)
- 12.3 News article sharing (学生新闻分享)
13 Week 13: Health policy evaluation and the comprehensive application of econometric models [online] (卫生政策评估与计量模型综合应用 [线上])
- 13.1 Introduction (导语)
- 13.2 A comprehensive application (一个综合应用)
- 13.3 Physician labor market: economic theories（卫生人力市场理论）
- 13.4 Health insurance policy and physician behaviors (医疗保险政策与医生行为)
- 13.5 Immunization economics (疫苗经济学)
14 Week 14: Horizontal case discussions and critiques in the application of health policy evaluation [face-to-face] (卫生政策评估应用的横向讨论与品鉴 [课堂])
- 14.1 Introduction (导语)
- 14.2 Xintong's talk: prosocial motivation among blood donors (学生讲座：献血者的亲社会动机)
  - 14.2.1 Kristian's Talk: Occupaiton and Health (学生讲座：职业选择与健康)
  - 14.2.2 News article sharing (学生新闻分享)
15 Week 15-1: student practical applications and presentations [online] (学生汇报 [线上])
- 15.1 Introduction (导语)
- 15.2 Ye Ma
- 15.3 Yining Wang
- 15.4 Tao Yu
- 15.5 Hongjie Chu
16 Week 15-2: student practical applications and presentations [online] (学生汇报 [线上])
- 16.1 Introduction (导语)
- 16.2 Yuting Sun
- 16.3 Ziyi Chen
- 16.4 Shuang Zeng
- 16.5 Jingrao Li
17 Week 16: student practice peer evaluations and discussions [face-to-face] (同伴评价与讨论)
- 17.1 Introduction (导语)
- 17.2 Peer collaboration and Q&A (同伴协作与答疑讨论)

News article sharing (学生新闻分享)

Below are the slides for this week's news article sharing activity. The presenter offered a brief introduction about the procurement and tendering policy of pharmaceuticals, while also attempting to connect the topic with our course.

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