To compare is to destroy,
To share is to construct.
I believe that a good student should not be a research-taker. There are two resources for sharing from my side. Firstly, I have included some literature notes that correspond to a specific paper. These notes delve into the main concepts of the paper and provide an overall understanding of the "big picture." Additionally, some supplementary comments or slides may be included to enhance the comprehension.
Secondly, I am collaborating with a Gansong Luo, an Economics PhD from Zhejiang University, to provide a Crash Course on o-Tree learning. The tutorial is in Chinese, but hopefully we will do the translation sometime.
2023
No more Behavioral Economics?
11-22
Overcoming Algorithm Aversion
09-21
Lecture Note: Econ 703 (week 2)
08-29
Lecture Note: Econ 703 (week 1)
08-29
Selling Consumer Data for Profit: Optimal Market-Segmentation Design and Its Consequences
07-12
Digital Addiction
06-23
Shopping addiction: A brief review
06-13
Parents Select Peers for me? A Field Experiment
06-13
A Crash Course of o-Tree
06-07
Behavioral Implications of Causal Misperceptions
05-17
Self-Confirming Equilibrium and Model Uncertainty
05-06