The following materials provide some good tips for doing empirical projects.
- Project management principle: https://www.notion.so/koheikawaguchi/Project-Management-for-Applied-Microeconomics-f96fcde1b4e4413e99304b787c8eac2e
- Data cleaning principle: https://shannonpileggi.github.io/rmedicine-data-cleaning-2023
- https://j-yamasaki.notion.site/tips-d6a6f6c46d6c4c2ea9368e9b0c093beb (in Japanese)

If you are interested in empirical IO, the following materials are useful.
- https://kohei-kawaguchi.github.io/EmpiricalIO/index.html
- https://tak-tag.github.io/MktRes_Lecture/index.html (in Japanese)
- https://sites.google.com/view/keisemi-ebiz/  (in Japanese)
- https://github.com/dseconf
- https://comlabgames.com/structuraleconometrics/
- https://www.youtube.com/playlist?list=PLUl4u3cNGP62xkEY0YzLJSoquVBjPOl9S (MIT OpenCourseware Grad IO)

If you are interested in applied econometrics, the following materials are also useful.

https://www.econometrics.blog/post/how-to-read-an-econometrics-paper/
https://sites.google.com/view/ocis/home?authuser=0

IO Conference:
- EARIE (August, submission March mid)
- APIOC (December, submission September 1)
- IIOC (May, submission January 31)
- Informs Marketing Science (June, submission January 31)

Labor Conference:
- SOLE (May, submission December 1st)
- EALE (September, submission)
- AASLE (December, submission July mid)
- NBER Japan (July, submission December)
- WEAI (June, submission December mid),