Undergraduate Thesis Policy

If you want to do a thesis under my supervision, please keep in mind that

• complete coursework Econometrics and Machine Learning in Economics
• the topic of your undergraduate thesis should be related to applied econometrics or causal machine learning.
• we will be having meetings on a weekly basis. (30–minute meeting)
• during meetings, you should present your weekly progress or assigned readings in a well-organized and understandable way by using slides and/or demonstrating the computer codes.
• ensure you have reproducible research.
• plagiarism is absolutely unacceptable.
• Link: How to give an applied micro talk
• Link: Tips on how to avoid disaster in presentations
   

A thesis must meet high standards of quality; please refer to my former advisee’s theses.

■ Advisees (undergraduate students):

2021

Nguyen Kim Ngan Thi (Tokyo International University)

• Thesis: The discovery of the effects of women employment participation on the fertility of developing countries: A panel data approach

2020

Rivaldo Philip (Tokyo International University)

• Rivaldo has been working at the Facebook Dublin International Headquarter after his graduation from TIU.
• Thesis: Interaction between culture and public policy – The efficacy of global health measures in containing COVID-19

2019

• Ton is currently a PhD student in public policy at Central European University.

• Ton had been working as my research assistant during her time at TIU and conducting analysis on a research project relating to the middle income trap.

2019

Annette Jing (National Taiwan University)

• Annette is currently a PhD student in statistics at Stanford University
• Thesis: Double machine learning for threshold models

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■ Advisees (graduate students):  Research Projects Advised 

Recommendation letters