If you would like me to serve as your master’s thesis advisor, please note the following:
- Please send me your latest CV and tell me briefly about your plans during your master’s studies and after graduation.
- During your master’s program, you are expected to complete the SPE courses “Causal Machine Learning in Economics and Political Science” and “Seminar on Advanced Quantitative Methods.”
- Your thesis should be broadly related to applied econometrics or causal machine learning.
- We will hold weekly meetings (approximately 30 minutes each).
- In each meeting, you are expected to present your weekly progress or assigned readings in a clear and well-organized manner, using slides and/or demonstrating your computer code.
- You must ensure that your research is fully reproducible.
- Plagiarism is strictly prohibited.
- Link: How to give an applied micro talk
- Link: Tips on how to avoid disaster in presentations
- Link: How to speak
如果你希望由我擔任碩士論文指導老師，請注意以下事項：
- 請先寄給我你最新的履歷（CV），並簡要說明你就讀碩班時與碩士畢業後的規劃。
- 在碩士就讀期間，建議你修習以下台大國際政經學院的兩門課程：「經濟學與政治科學中的因果機器學習」 與 「高等計量方法專題」。
- 你的論文主題至少要廣義地與應用計量經濟學（Applied Econometrics）或因果機器學習（Causal Machine Learning）有關。
- 我們將每週有一次咪挺（約 30 分鐘）。
- 每次咪挺中，以清楚、有條理的方式報告每週研究進度或被指定的閱讀內容，使用簡報或展示電腦程式碼。
- 你的研究必須確保可重現性（reproducibility）。
- 絕對禁止抄襲。
連結：
- [如何進行應用個體經濟學研究的口頭報告 Jesse M. Shapiro]
- [如何避免簡報災難的建議 Monika Piazzesi]
- [如何進行口頭發表 Patrick Winston]
Jauer 