Welcome to Research Methods: Applied Econometrics (ECO601M 2025 Version) Webpage!
Frontmatter
In a nutshell
This is the webpage for a graduate course called Research Methods: Applied Econometrics (ECO601M), specifically offered to students pursuing the degree Master of Applied Economics at De La Salle University - Manila.
Hit Refresh on your browser to get the latest version of the webpage.
Information about using the materials
If you want to use my slides or the materials in this webpage, please abide by the license:
Lecture Materials on Research Methods: Applied Econometrics (ECO601M 2025 Version) © 2025 by Andrew Adrian Yu Pua is licensed under CC BY-NC-SA 4.0
To cite the material, please use
Pua, A. A. Y. (2025). Lecture Materials on Research Methods: Applied Econometrics (ECO601M 2025 Version). https://applied-metrics.neocities.org
Finding typos or unclear portions
If you find typos or unclear portions in the notes and materials, please let me know. I will be monitoring your contributions during the term and I will acknowledge you in these notes. If you make substantial contributions, I will treat you to some non-alcoholic drinks at Auro Cafe located near the Brother Andrew Gonzalez Hall of De La Salle University.
Links to the slides of a similar course from 2022
For now, I provide links instead to the slides I have used for a similar course given over 10 weeks. There may be some overlap but the material for 2025 will be different, as we will be following a textbook.
- Housekeeping
- Describing distributions (with the data on hand)
- Describing distributions (before seeing the data)
- Inference and uncertainty quantification
- When does regression recover causal effects?
If you want to use these slides, please abide by the license:
Lecture Slides on Applied Econometrics 1 (2022 Version) © 2022 by Andrew Adrian Yu Pua is licensed under CC BY-NC-SA 4.0
To cite these slides, please use
Pua, A. A. Y. (2022). Lecture Slides for Applied Econometrics 1 [Quarto slides]. https://applied-metrics.neocities.org
Resources on time management, learning to learn, and the illusion of learning
I would ask you to take an opportunity to reexamine how you learn and study things. It does not matter if your motivation is only to pass the exam or something greater.
I have found the following resources to be helpful to students I have taught in the past. Of course, I am not sure if it would work for you, but do keep an open mind.
- On Shortification of “Learning” from one of the co-founders of OpenAI
- Effective study strategies for students
- Time management for students
- My Learning Journal, admittedly for teens, but may work for you: PDF
- Top 10 ideas to help your learning and top 10 pitfalls: PDF
- Test preparation checklist: PDF
- Coursera online course on “Learning How to Learn”