Instruction for Week 7 （第7周导语)
This week we are going to talk about panel data approches. This lecture will be delivered virtually and will consist of two SPOC videos. In Video I, we'll explore an intriguing empirical study that employs a panel data approach, beginning at 10:40. This video, spanning approximately 10 minutes, offers valuable insights into real-world applications. Following that, in Video II, we'll provide a theoretical introduction to handling datasets with a panel structure. This comprehensive discussion, lasting around 20 minutes, equips you with essential knowledge for practical data analysis.
Get ready to engage with these informative videos and deepen your understanding of the subject matter.
Learning objectives (学习目标)
- gain a preliminary understanding of the relationship between hospital efficiency and waiting times
- be able to correct interpret coefficients obtained from alternative functional forms
- understand the core concept of individual fixed effects in addressing omitted variablebias
Key knowledge points (核心知识)
- comparison between OLS and fixed effects models
- interpretation of coefficients in log-log, log-level, andlevel-log models
- the roles of fixed effects and random effects models
Learning activities: Flipped classroom-- the online part (学习活动：翻转课堂-- 线上部分)
- SPOC videos
- peer collaboration: knowledge points mind map
- classical case example: hospital efficiency and waiting times [Siciliani et al. (JHE, 2009)]
- Q&A: feedback on online learning process via the Tencent collaboration document (https://docs.qq.com/doc/DU01kQUtYVHl2V0hG)
Learning assessment (测评反馈)
- complete required SPOC videos
- report difficulties using Tencent collaboration document (https://docs.qq.com/doc/DU01kQUtYVHl2V0hG)
- joint selection of case materials by the instructor and students
