We conduct a randomized field experiment to quantify biases that affect consumers of addictive goods: present-biased preferences, nave beliefs regarding present bias, and projection-biased beliefs ove
a variables included: cohort, sex, A (age), P (calendar year), D and pop (cases of smoking cessation and person-years at risk), D2 and pop2 (sensitivity analysis: cases of sustained smoking cessation
Data used in the book "Data Science and Analytics with Python" by J Rogel-Salazar. Demo data describing users' weight together with information about exercise and eating habits. Features:gender - Gend
