No robust sunshine signal.
None of the 12 adjusted country/specification tests passes the 5% false-discovery threshold. This does not establish that the true effect is zero.
Examine the intervals ↗I’m interested in psychology and decision economics: how mood and our surroundings shape everyday choices. This project began with a personal question—could I find a trace of that in weather, confidence and spending data?
Erkam Sait Aygün · Sabancı University · DSA210
Psychology · decision economics · data science
I study data science with a strong interest in psychology and decision economics—the way mood, environment and macroeconomic pressure quietly shape the everyday choices people make.
I wanted to move past intuition and look at whether those forces actually leave a measurable trace in real data. That curiosity is why I built this project.
The analysis connects my initial curiosity with the evidence. Associations, uncertainty and model comparisons each tell a different part of the story.
None of the 12 adjusted country/specification tests passes the 5% false-discovery threshold. This does not establish that the true effect is zero.
Examine the intervals ↗CCI persistence achieves RMSE 0.49. The full weather–macro forest does not outperform it in calendar-based validation.
Compare the models ↗The combined retail forest has held-out R² 0.42. A matched macro-only model performs almost identically.
Inspect the ablation ↗Inspect country coverage, download the research panel and out-of-fold predictions, or read the methods and Turkish research report.